path: root/site/datasets/final/feret.csv

index,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
0,FERET,feret,0.0,0.0,,,0c4a139bb87c6743c7905b29a3cfec27a5130652,main,http://pdfs.semanticscholar.org/0c4a/139bb87c6743c7905b29a3cfec27a5130652.pdf,The FERET Verification Testing Protocol for Face Recognition Algorithms,1998
1,FERET,feret,-27.47715625,153.02841004,Queensland University of Technology,edu,919d0e681c4ef687bf0b89fe7c0615221e9a1d30,citation,http://pdfs.semanticscholar.org/919d/0e681c4ef687bf0b89fe7c0615221e9a1d30.pdf,Fractal Techniques for Face Recognition,2009
2,FERET,feret,30.5097537,114.4062881,Huazhong University of Science and Technology,edu,51ed4c92cab9336a2ac41fa8e0293c2f5f9bf3b6,citation,http://pdfs.semanticscholar.org/51ed/4c92cab9336a2ac41fa8e0293c2f5f9bf3b6.pdf,"A Survey of Face Detection, Extraction and Recognition",2003
3,FERET,feret,22.053565,113.39913285,Jilin University,edu,8aff9c8a0e17be91f55328e5be5e94aea5227a35,citation,https://doi.org/10.1109/TNNLS.2012.2191620,Sparse Tensor Discriminant Color Space for Face Verification,2012
4,FERET,feret,42.3898055,-71.1475986,Raytheon BBN Technologies,company,8aff9c8a0e17be91f55328e5be5e94aea5227a35,citation,https://doi.org/10.1109/TNNLS.2012.2191620,Sparse Tensor Discriminant Color Space for Face Verification,2012
5,FERET,feret,32.0565957,118.77408833,Nanjing University,edu,8aff9c8a0e17be91f55328e5be5e94aea5227a35,citation,https://doi.org/10.1109/TNNLS.2012.2191620,Sparse Tensor Discriminant Color Space for Face Verification,2012
6,FERET,feret,30.284151,-97.73195598,University of Texas at Austin,edu,d3b5a52062e5f5415df527705cb24af9b0846617,citation,http://pdfs.semanticscholar.org/d3b5/a52062e5f5415df527705cb24af9b0846617.pdf,Advances and Challenges in 3D and 2D+3D Human Face Recognition,2007
7,FERET,feret,40.44415295,-79.96243993,University of Pittsburgh,edu,03167776e17bde31b50f294403f97ee068515578,citation,http://pdfs.semanticscholar.org/0316/7776e17bde31b50f294403f97ee068515578.pdf,Chapter 11. Facial Expression Analysis,2004
8,FERET,feret,22.9991916,120.21625134,National Cheng Kung University,edu,658eb1fd14808d10e0f4fee99c5506a1bb0e351a,citation,https://pdfs.semanticscholar.org/658e/b1fd14808d10e0f4fee99c5506a1bb0e351a.pdf,Multi-Discriminant Classification Algorithm for Face Verification,2008
9,FERET,feret,33.30715065,-111.67653157,Arizona State University,edu,49570b41bd9574bd9c600e24b269d945c645b7bd,citation,http://pdfs.semanticscholar.org/4957/0b41bd9574bd9c600e24b269d945c645b7bd.pdf,A Framework for Performance Evaluation of Face Recognition Algorithms,2002
10,FERET,feret,51.49887085,-0.17560797,Imperial College London,edu,d65b82b862cf1dbba3dee6541358f69849004f30,citation,http://pdfs.semanticscholar.org/d65b/82b862cf1dbba3dee6541358f69849004f30.pdf,2.5D Elastic graph matching,2011
11,FERET,feret,40.7286484,-73.9956863,Courant Institute of Mathematical Sciences,edu,6d5e12ee5d75d5f8c04a196dd94173f96dc8603f,citation,http://www.cs.toronto.edu/~hinton/csc2535_06/readings/chopra-05.pdf,"Learning a similarity metric discriminatively, with application to face verification",2005
12,FERET,feret,40.72925325,-73.99625394,New York University,edu,6d5e12ee5d75d5f8c04a196dd94173f96dc8603f,citation,http://www.cs.toronto.edu/~hinton/csc2535_06/readings/chopra-05.pdf,"Learning a similarity metric discriminatively, with application to face verification",2005
13,FERET,feret,51.24303255,-0.59001382,University of Surrey,edu,0e1403f2182609fb64ed72913f7294fea7d02bd6,citation,http://pdfs.semanticscholar.org/9457/cdb4b1f4764f70fe86b50e26abc34930f882.pdf,Learning Support Vectors for Face Verification and Recognition,2000
14,FERET,feret,50.0764296,14.41802312,Czech Technical University,edu,0e1403f2182609fb64ed72913f7294fea7d02bd6,citation,http://pdfs.semanticscholar.org/9457/cdb4b1f4764f70fe86b50e26abc34930f882.pdf,Learning Support Vectors for Face Verification and Recognition,2000
15,FERET,feret,51.24303255,-0.59001382,University of Surrey,edu,fe9a6a93af9c32f6b0454a7cf6897409124514bd,citation,http://pdfs.semanticscholar.org/fe9a/6a93af9c32f6b0454a7cf6897409124514bd.pdf,Designing a smart card face verification system,2006
16,FERET,feret,39.1254938,-77.22293475,National Institute of Standards and Technology,edu,92a3d5ab3eb540a11eddf1b836c1db28640b2746,citation,http://pdfs.semanticscholar.org/92a3/d5ab3eb540a11eddf1b836c1db28640b2746.pdf,Face Recognition using 3D Facial Shape and Color Map Information: Comparison and Combination,2004
17,FERET,feret,37.4102193,-122.05965487,Carnegie Mellon University,edu,23fc83c8cfff14a16df7ca497661264fc54ed746,citation,http://pdfs.semanticscholar.org/23fc/83c8cfff14a16df7ca497661264fc54ed746.pdf,Comprehensive Database for Facial Expression Analysis,2000
18,FERET,feret,40.44415295,-79.96243993,University of Pittsburgh,edu,23fc83c8cfff14a16df7ca497661264fc54ed746,citation,http://pdfs.semanticscholar.org/23fc/83c8cfff14a16df7ca497661264fc54ed746.pdf,Comprehensive Database for Facial Expression Analysis,2000
19,FERET,feret,51.49887085,-0.17560797,Imperial College London,edu,54bb25a213944b08298e4e2de54f2ddea890954a,citation,http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf,"AgeDB: The First Manually Collected, In-the-Wild Age Database",2017
20,FERET,feret,51.59029705,-0.22963221,Middlesex University,edu,54bb25a213944b08298e4e2de54f2ddea890954a,citation,http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Moschoglou_AgeDB_The_First_CVPR_2017_paper.pdf,"AgeDB: The First Manually Collected, In-the-Wild Age Database",2017
21,FERET,feret,40.4319722,-86.92389368,Purdue University,edu,aec46facf3131a5be4fc23db4ebfb5514e904ae3,citation,http://pdfs.semanticscholar.org/aec4/6facf3131a5be4fc23db4ebfb5514e904ae3.pdf,Audio to the rescue,2004
22,FERET,feret,39.1254938,-77.22293475,National Institute of Standards and Technology,edu,544c06584c95bfdcafbd62e04fb796e575981476,citation,http://pdfs.semanticscholar.org/544c/06584c95bfdcafbd62e04fb796e575981476.pdf,Human Identification from Body Shape,2003
23,FERET,feret,40.44415295,-79.96243993,University of Pittsburgh,edu,84a74ef8680b66e6dccbc69ae80321a52780a68e,citation,http://doi.org/10.1007/978-0-85729-932-1_19,Facial Expression Recognition,2011
24,FERET,feret,13.65450525,100.49423171,Robotics Institute,edu,84a74ef8680b66e6dccbc69ae80321a52780a68e,citation,http://doi.org/10.1007/978-0-85729-932-1_19,Facial Expression Recognition,2011
25,FERET,feret,35.14479945,33.90492318,Eastern Mediterranean University,edu,b3cc2554449fb10002250bbc178e1009fc2fdb70,citation,http://pdfs.semanticscholar.org/b3cc/2554449fb10002250bbc178e1009fc2fdb70.pdf,Face Recognition Based on Local Zernike Moments,2015
26,FERET,feret,22.42031295,114.20788644,Chinese University of Hong Kong,edu,fbfb0de017d57c5f282050dadb77797d97785ba5,citation,http://pdfs.semanticscholar.org/fbfb/0de017d57c5f282050dadb77797d97785ba5.pdf,Enabling EBGM Face Authentication on mobile devices,2006
27,FERET,feret,30.44235995,-84.29747867,Florida State University,edu,0a602b85c80cef7d38209226188aaab94d5349e8,citation,http://pdfs.semanticscholar.org/0a60/2b85c80cef7d38209226188aaab94d5349e8.pdf,THE FLORIDA STATE UNIVERSITY COLLEGE OF ARTS AND SCIENCES AUTOMATED FACE TRACKING AND RECOGNITION By MATTHEW,0
28,FERET,feret,51.49887085,-0.17560797,Imperial College London,edu,a2bcfba155c990f64ffb44c0a1bb53f994b68a15,citation,https://doi.org/10.1109/CVPRW.2011.5981840,The Photoface database,2011
29,FERET,feret,37.5600406,126.9369248,Yonsei University,edu,425833b5fe892b00dcbeb6e3975008e9a73a5a72,citation,http://pdfs.semanticscholar.org/4258/33b5fe892b00dcbeb6e3975008e9a73a5a72.pdf,A Review of Performance Evaluation for Biometrics Systems,2005
30,FERET,feret,57.01590275,9.97532827,Aalborg University,edu,7ef44b7c2b5533d00001ae81f9293bdb592f1146,citation,https://pdfs.semanticscholar.org/7ef4/4b7c2b5533d00001ae81f9293bdb592f1146.pdf,Détection des émotions à partir de vidéos dans un environnement non contrôlé Detection of emotions from video in non-controlled environment,2003
31,FERET,feret,-27.5533975,153.05336234,Griffith University,edu,6e968f74fd6b4b3b172c787f298b3d4746ec5cc9,citation,http://www.ict.griffith.edu.au/~junzhou/papers/C_DICTA_2013_C.pdf,A 3D Polygonal Line Chains Matching Method for Face Recognition,2013
32,FERET,feret,39.2899685,-76.62196103,University of Maryland,edu,3a1c3307f57ef09577ac0dc8cd8b090a4fe8091f,citation,http://pdfs.semanticscholar.org/3a1c/3307f57ef09577ac0dc8cd8b090a4fe8091f.pdf,Thermal-to-visible face recognition using partial least squares.,2015
33,FERET,feret,51.24303255,-0.59001382,University of Surrey,edu,81a8b2e55bcea9d9b26e67fcbb5a30ca8a8defc3,citation,http://multispectral-imagery-lab.sandbox.wvu.edu/files/d/337b61b4-b6af-4c96-8314-c282ebebf299/databasesizeeffectsonperformancesmartcardfaceverification.pdf,Database size effects on performance on a smart card face verification system,2006
34,FERET,feret,41.10427915,29.02231159,Istanbul Technical University,edu,b8b0f0ca35cb02334aaa3192559fb35f0c90f8fa,citation,http://pdfs.semanticscholar.org/b8b0/f0ca35cb02334aaa3192559fb35f0c90f8fa.pdf,Face Recognition in Low-resolution Images by Using Local Zernike Moments,2014
35,FERET,feret,1.29500195,103.84909214,Singapore Management University,edu,76d1c6c6b67e67ced1f19a89a5034dafc9599f25,citation,http://doi.acm.org/10.1145/2590296.2590315,Understanding OSN-based facial disclosure against face authentication systems,2014
36,FERET,feret,50.89273635,-1.39464295,University of Southampton,edu,8a12edaf81fd38f81057cf9577c822eb09ff6fc1,citation,http://pdfs.semanticscholar.org/8a12/edaf81fd38f81057cf9577c822eb09ff6fc1.pdf,Measuring and mitigating targeted biometric impersonation,2014
37,FERET,feret,65.0592157,25.46632601,University of Oulu,edu,8a12edaf81fd38f81057cf9577c822eb09ff6fc1,citation,http://pdfs.semanticscholar.org/8a12/edaf81fd38f81057cf9577c822eb09ff6fc1.pdf,Measuring and mitigating targeted biometric impersonation,2014
38,FERET,feret,1.3484104,103.68297965,Nanyang Technological University,edu,4b86e711658003a600666d3ccfa4a9905463df1c,citation,https://pdfs.semanticscholar.org/4b86/e711658003a600666d3ccfa4a9905463df1c.pdf,Fusion of Appearance Image and Passive Stereo Depth Map for Face Recognition Based on the Bilateral 2DLDA,2007
39,FERET,feret,40.7286484,-73.9956863,Courant Institute of Mathematical Sciences,edu,4b8d80f91d271f61b26db5ad627e24e59955c56a,citation,http://pdfs.semanticscholar.org/4b8d/80f91d271f61b26db5ad627e24e59955c56a.pdf,Learning Long-Range Vision for an Offroad Robot,2008
40,FERET,feret,40.72925325,-73.99625394,New York University,edu,4b8d80f91d271f61b26db5ad627e24e59955c56a,citation,http://pdfs.semanticscholar.org/4b8d/80f91d271f61b26db5ad627e24e59955c56a.pdf,Learning Long-Range Vision for an Offroad Robot,2008
41,FERET,feret,51.24303255,-0.59001382,University of Surrey,edu,7af15295224c3ad69d56f17ff635763dd008a8a4,citation,http://pdfs.semanticscholar.org/7af1/5295224c3ad69d56f17ff635763dd008a8a4.pdf,Learning Support Vectors for Face Authentication: Sensitivity to Mis-Registrations,2007
42,FERET,feret,50.0764296,14.41802312,Czech Technical University,edu,7af15295224c3ad69d56f17ff635763dd008a8a4,citation,http://pdfs.semanticscholar.org/7af1/5295224c3ad69d56f17ff635763dd008a8a4.pdf,Learning Support Vectors for Face Authentication: Sensitivity to Mis-Registrations,2007
43,FERET,feret,40.00229045,116.32098908,Tsinghua University,edu,5ea51401eea9a50a16bd17471bfd559d2d989760,citation,http://pdfs.semanticscholar.org/5ea5/1401eea9a50a16bd17471bfd559d2d989760.pdf,Robust Face Alignment Based on Hierarchical Classifier Network,2006
44,FERET,feret,40.0044795,116.370238,Chinese Academy of Sciences,edu,71644fab2275cfd6a8f770a26aba4e6228e85dec,citation,http://www.jdl.ac.cn/doc/2011/20131910365517756_2012_eccv_mnkan_mvda.pdf,Multi-View Discriminant Analysis,2012
45,FERET,feret,31.4006332,74.2137296,"COMSATS Institute of Information Technology, Lahore",edu,280bc9751593897091015aaf2cab39805768b463,citation,http://pdfs.semanticscholar.org/280b/c9751593897091015aaf2cab39805768b463.pdf,Gender Perception From Faces Using Boosted LBPH (Local Binary Patten Histograms),2013
46,FERET,feret,34.0687788,-118.4450094,"University of California, Los Angeles",edu,23b80dc704e25cf52b5a14935002fc083ce9c317,citation,http://doi.ieeecomputersociety.org/10.1109/CVPR.2007.383035,Learning Generative Models via Discriminative Approaches,2007
47,FERET,feret,45.42580475,-75.68740118,University of Ottawa,edu,857ad04fca2740b016f0066b152bd1fa1171483f,citation,http://pdfs.semanticscholar.org/857a/d04fca2740b016f0066b152bd1fa1171483f.pdf,Sample Images can be Independently Restored from Face Recognition Templates,2003
48,FERET,feret,8.76554685,77.65100445,Manonmaniam Sundaranar University,edu,87b81c8821a2cb9cdf26c75c1531717cab4b942f,citation,http://pdfs.semanticscholar.org/87b8/1c8821a2cb9cdf26c75c1531717cab4b942f.pdf,Face Detection with Facial Features and Gender Classification Based On Support Vector Machine,2010
49,FERET,feret,43.66333345,-79.39769975,University of Toronto,edu,099ce5cb6f42bff5ad117852d62c5a07e6407b8a,citation,https://pdfs.semanticscholar.org/099c/e5cb6f42bff5ad117852d62c5a07e6407b8a.pdf,Spectral Methods for Multi-Scale Feature Extraction and Data Clustering,0
50,FERET,feret,34.0224149,-118.28634407,University of Southern California,edu,21358489b5ce0e94ff37792a8a5eea198e7272f3,citation,http://pdfs.semanticscholar.org/c0cc/2073cad539d979fc6f860177b531b45fafc1.pdf,Face Inpainting with Local Linear Representations,2004
51,FERET,feret,61.44964205,23.85877462,Tampere University of Technology,edu,dc4e4b9c507e8be2d832faf64e5a2e8887115265,citation,https://pdfs.semanticscholar.org/dc4e/4b9c507e8be2d832faf64e5a2e8887115265.pdf,Face Retrieval Based on Robust Local Features and Statistical-Structural Learning Approach,2008
52,FERET,feret,37.3219575,127.1250723,Dankook University,edu,891d435fd1a070bb66225abfd62b2e2c5350e87c,citation,https://pdfs.semanticscholar.org/891d/435fd1a070bb66225abfd62b2e2c5350e87c.pdf,Selective Feature Generation Method for Classification of Low-dimensional Data,2018
53,FERET,feret,32.8536333,-117.2035286,Kyung Hee University,edu,854b1f0581f5d3340f15eb79452363cbf38c04c8,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7903648,Directional Age-Primitive Pattern (DAPP) for Human Age Group Recognition and Age Estimation,2017
54,FERET,feret,24.7246403,46.62335012,King Saud University,edu,854b1f0581f5d3340f15eb79452363cbf38c04c8,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7903648,Directional Age-Primitive Pattern (DAPP) for Human Age Group Recognition and Age Estimation,2017
55,FERET,feret,23.7289899,90.3982682,Institute of Information Technology,edu,854b1f0581f5d3340f15eb79452363cbf38c04c8,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7903648,Directional Age-Primitive Pattern (DAPP) for Human Age Group Recognition and Age Estimation,2017
56,FERET,feret,51.24303255,-0.59001382,University of Surrey,edu,cbb55f5885f9a0d0bfaa2c0bf5293ef45a04c5cd,citation,https://pdfs.semanticscholar.org/cbb5/5f5885f9a0d0bfaa2c0bf5293ef45a04c5cd.pdf,Performance Characterisation of Face Recognition Algorithms and Their Sensitivity to Severe Illumination Changes,2006
57,FERET,feret,40.0044795,116.370238,Chinese Academy of Sciences,edu,cbb55f5885f9a0d0bfaa2c0bf5293ef45a04c5cd,citation,https://pdfs.semanticscholar.org/cbb5/5f5885f9a0d0bfaa2c0bf5293ef45a04c5cd.pdf,Performance Characterisation of Face Recognition Algorithms and Their Sensitivity to Severe Illumination Changes,2006
58,FERET,feret,53.21967825,6.56251482,University of Groningen,edu,d8896861126b7fd5d2ceb6fed8505a6dff83414f,citation,http://pdfs.semanticscholar.org/d889/6861126b7fd5d2ceb6fed8505a6dff83414f.pdf,In-plane Rotational Alignment of Faces by Eye and Eye-pair Detection,2015
59,FERET,feret,29.5084174,106.57858552,Chongqing University,edu,e1d1540a718bb7a933e21339f1a2d90660af7353,citation,http://doi.org/10.1007/s11063-018-9852-2,Discriminative Probabilistic Latent Semantic Analysis with Application to Single Sample Face Recognition,2018
60,FERET,feret,22.42031295,114.20788644,Chinese University of Hong Kong,edu,55498d89f9eb0c9df9760f5e0e47a15ae7e92f25,citation,http://mplab.ucsd.edu/wp-content/uploads/CVPR2008/Conference/data/papers/264.pdf,Learning-based face hallucination in DCT domain,2008
61,FERET,feret,40.0044795,116.370238,Chinese Academy of Sciences,edu,f12813073a7f894f82fe2b166893424edba7dc79,citation,http://doi.ieeecomputersociety.org/10.1109/CVPR.2008.4587375,Unified Principal Component Analysis with generalized Covariance Matrix for face recognition,2008
62,FERET,feret,45.7413921,126.62552755,Harbin Institute of Technology,edu,f12813073a7f894f82fe2b166893424edba7dc79,citation,http://doi.ieeecomputersociety.org/10.1109/CVPR.2008.4587375,Unified Principal Component Analysis with generalized Covariance Matrix for face recognition,2008
63,FERET,feret,39.87549675,32.78553506,Middle East Technical University,edu,946c2036c940e77260ade031ba413ec9f2435985,citation,http://pdfs.semanticscholar.org/946c/2036c940e77260ade031ba413ec9f2435985.pdf,PCA for Gender Estimation: Which Eigenvectors Contribute?,2002
64,FERET,feret,36.1017956,-79.501733,Elon University,edu,a129c30b176820bf7f4756b4b4efc92d2a83f190,citation,https://pdfs.semanticscholar.org/a129/c30b176820bf7f4756b4b4efc92d2a83f190.pdf,Older adults' associative memory is modified by manner of presentation at encoding and retrieval.,2018
65,FERET,feret,13.01119095,74.79498825,"National Institute of Technology, Karnataka",edu,e1fac9e9427499d3758213daf1c781b9a42a3420,citation,https://pdfs.semanticscholar.org/7c90/60a809bd28ef61421588f48e33f6eae6ddfd.pdf,Face Image Retrieval Based on Probe Sketch Using SIFT Feature Descriptors,2012
66,FERET,feret,35.9542493,-83.9307395,University of Tennessee,edu,7735f63e5790006cb3d989c8c19910e40200abfc,citation,http://pdfs.semanticscholar.org/7735/f63e5790006cb3d989c8c19910e40200abfc.pdf,Multispectral Imaging For Face Recognition Over Varying Illumination,2008
67,FERET,feret,32.0565957,118.77408833,Nanjing University,edu,f909d04c809013b930bafca12c0f9a8192df9d92,citation,http://pdfs.semanticscholar.org/f909/d04c809013b930bafca12c0f9a8192df9d92.pdf,Single Image Subspace for Face Recognition,2007
68,FERET,feret,22.3386304,114.2620337,Hong Kong University of Science and Technology,edu,33abfe693258a4e00467494b11ee4d523379ab6b,citation,http://www.cse.ust.hk/~dyyeung/paper/pdf/yeung.icip2006a.pdf,Local Discriminant Embedding with Tensor Representation,2006
69,FERET,feret,38.0333742,-84.5017758,University of Kentucky,edu,a1997d89f544cc862c63a972ef364b2ff38982e9,citation,https://pdfs.semanticscholar.org/a199/7d89f544cc862c63a972ef364b2ff38982e9.pdf,Can SNOMED CT Changes Be Used as a Surrogate Standard for Evaluating the Performance of Its Auditing Methods?,2017
70,FERET,feret,-33.3578899,151.37834708,University of Newcastle,edu,aeb64f88302b9d4d23ee13ece5c9842dd43dc37f,citation,https://pdfs.semanticscholar.org/aeb6/4f88302b9d4d23ee13ece5c9842dd43dc37f.pdf,Recollection and confidence in two-alternative forced choice episodic recognition,2009
71,FERET,feret,51.49887085,-0.17560797,Imperial College London,edu,e392816ec3e0b131bbab06431ac85b14afa7d656,citation,http://pdfs.semanticscholar.org/e392/816ec3e0b131bbab06431ac85b14afa7d656.pdf,A Simple and Efficient Supervised Method for Spatially Weighted PCA in Face Image Analysis,2010
72,FERET,feret,34.1235825,108.83546,Xidian University,edu,3e76496aa3840bca2974d6d087bfa4267a390768,citation,https://pdfs.semanticscholar.org/3e76/496aa3840bca2974d6d087bfa4267a390768.pdf,Dictionary Learning in Optimal Metric Subspace,2018
73,FERET,feret,39.9808333,116.34101249,Beihang University,edu,3e76496aa3840bca2974d6d087bfa4267a390768,citation,https://pdfs.semanticscholar.org/3e76/496aa3840bca2974d6d087bfa4267a390768.pdf,Dictionary Learning in Optimal Metric Subspace,2018
74,FERET,feret,39.2899685,-76.62196103,University of Maryland,edu,355af3c3adbb17d25f0d2a4193e3daadffc0d4e8,citation,http://pdfs.semanticscholar.org/355a/f3c3adbb17d25f0d2a4193e3daadffc0d4e8.pdf,Pattern recognition: Historical perspective and future directions,2000
75,FERET,feret,38.83133325,-77.30798839,George Mason University,edu,355af3c3adbb17d25f0d2a4193e3daadffc0d4e8,citation,http://pdfs.semanticscholar.org/355a/f3c3adbb17d25f0d2a4193e3daadffc0d4e8.pdf,Pattern recognition: Historical perspective and future directions,2000
76,FERET,feret,40.8927159,29.37863323,Sabanci University,edu,1e6d1e811da743df02481bca1a7bdaa73b809913,citation,http://research.sabanciuniv.edu/608/1/3011800001159.pdf,Multimodal person recognition for human-vehicle interaction,2006
77,FERET,feret,50.7338124,7.1022465,University of Bonn,edu,f4aafb50c93c5ad3e5c4696ed24b063a1932915a,citation,http://pdfs.semanticscholar.org/f4aa/fb50c93c5ad3e5c4696ed24b063a1932915a.pdf,What would you look like in Springfield? Linear Transformations between High-Dimensional Spaces,2011
78,FERET,feret,45.7413921,126.62552755,Harbin Institute of Technology,edu,10156890bc53cb6be97bd144a68fde693bf13612,citation,http://pdfs.semanticscholar.org/1015/6890bc53cb6be97bd144a68fde693bf13612.pdf,Face Recognition Using Sparse Representation-Based Classification on K-Nearest Subspace,2013
79,FERET,feret,45.42580475,-75.68740118,University of Ottawa,edu,16820ccfb626dcdc893cc7735784aed9f63cbb70,citation,http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W12/papers/Azarmehr_Real-Time_Embedded_Age_2015_CVPR_paper.pdf,Real-time embedded age and gender classification in unconstrained video,2015
80,FERET,feret,42.3504253,-71.10056114,Boston University,edu,966b76acfa75253679b1a82ecc5a68e523f5c0c9,citation,http://pdfs.semanticscholar.org/f204/2494d5666e436f5e96ff5e0cd3b5f5e5485b.pdf,Preference suppression caused by misattribution of task-irrelevant subliminal motion.,2012
81,FERET,feret,40.8419836,-73.94368971,Columbia University,edu,0c7f27d23a162d4f3896325d147f412c40160b52,citation,http://pdfs.semanticscholar.org/0c7f/27d23a162d4f3896325d147f412c40160b52.pdf,Models and Algorithms for Vision through the Atmosphere,2003
82,FERET,feret,40.47913175,-74.43168868,Rutgers University,edu,6069b4bc1a21341b77b49f01341c238c770d52e0,citation,http://pdfs.semanticscholar.org/b02b/50ed995fe526208b1577b9d7ef6262bf3ecf.pdf,Comparing Kernel-based Learning Methods for Face Recognition,2003
83,FERET,feret,51.49887085,-0.17560797,Imperial College London,edu,af31ef1e81c1132f186d7aebb141d7f59a815010,citation,http://cas.ee.ic.ac.uk/people/ccb98/papers/LiuGlobalSIP13.pdf,Domain-specific progressive sampling of face images,2013
84,FERET,feret,51.5073219,-0.1276474,"London, United Kingdom",edu,af31ef1e81c1132f186d7aebb141d7f59a815010,citation,http://cas.ee.ic.ac.uk/people/ccb98/papers/LiuGlobalSIP13.pdf,Domain-specific progressive sampling of face images,2013
85,FERET,feret,39.1254938,-77.22293475,National Institute of Standards and Technology,edu,07f31bef7a7035792e3791473b3c58d03928abbf,citation,https://doi.org/10.1016/j.imavis.2016.08.004,Lessons from collecting a million biometric samples,2015
86,FERET,feret,41.70456775,-86.23822026,University of Notre Dame,edu,07f31bef7a7035792e3791473b3c58d03928abbf,citation,https://doi.org/10.1016/j.imavis.2016.08.004,Lessons from collecting a million biometric samples,2015
87,FERET,feret,40.11116745,-88.22587665,"University of Illinois, Urbana-Champaign",edu,d275714c323dd4e400e8003fa8c33070f8ea03d1,citation,https://pdfs.semanticscholar.org/d275/714c323dd4e400e8003fa8c33070f8ea03d1.pdf,"White Fear, Dehumanization and Low Empathy: a Lethal Combination for Shooting Biases by Yara Mekawi",2014
88,FERET,feret,40.0044795,116.370238,Chinese Academy of Sciences,edu,1a5a79b4937b89420049bc279a7b7f765d143881,citation,http://pdfs.semanticscholar.org/1a5a/79b4937b89420049bc279a7b7f765d143881.pdf,Are Rich People Perceived as More Trustworthy? Perceived Socioeconomic Status Modulates Judgments of Trustworthiness and Trust Behavior Based on Facial Appearance,2018
89,FERET,feret,39.9082804,116.2458527,University of Chinese Academy of Sciences,edu,1a5a79b4937b89420049bc279a7b7f765d143881,citation,http://pdfs.semanticscholar.org/1a5a/79b4937b89420049bc279a7b7f765d143881.pdf,Are Rich People Perceived as More Trustworthy? Perceived Socioeconomic Status Modulates Judgments of Trustworthiness and Trust Behavior Based on Facial Appearance,2018
90,FERET,feret,37.548215,-77.45306424,Virginia Commonwealth University,edu,1a5a79b4937b89420049bc279a7b7f765d143881,citation,http://pdfs.semanticscholar.org/1a5a/79b4937b89420049bc279a7b7f765d143881.pdf,Are Rich People Perceived as More Trustworthy? Perceived Socioeconomic Status Modulates Judgments of Trustworthiness and Trust Behavior Based on Facial Appearance,2018
91,FERET,feret,39.1254938,-77.22293475,National Institute of Standards and Technology,edu,88ee6d0b8342852a5bd55864dc7a1c8452c10bbf,citation,http://pdfs.semanticscholar.org/88ee/6d0b8342852a5bd55864dc7a1c8452c10bbf.pdf,Support Vector Machines Applied to Face Recognition,1998
92,FERET,feret,32.0565957,118.77408833,Nanjing University,edu,59f83e94a7f52cbb728d434426f6fe85f756259c,citation,https://pdfs.semanticscholar.org/59f8/3e94a7f52cbb728d434426f6fe85f756259c.pdf,An Improved Illumination Normalization Approach based on Wavelet Tranform for Face Recognition from Single Training Image Per Person,2010
93,FERET,feret,40.0044795,116.370238,Chinese Academy of Sciences,edu,5d1c4e93e32ee686234c5aae7f38025523993c8c,citation,http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d539.pdf,Towards Pose Robust Face Recognition,2013
94,FERET,feret,34.8452999,48.5596212,Islamic Azad University,edu,53ce84598052308b86ba79d873082853022aa7e9,citation,https://pdfs.semanticscholar.org/4f07/b70883a98a69be3b3e29de06c73e59a9ba0e.pdf,Optimized Method for Real-Time Face Recognition System Based on PCA and Multiclass Support Vector Machine,2013
95,FERET,feret,22.5611537,88.41310194,Jadavpur University,edu,eef05b87f1a62bf658fc622427187eab4fb0f7a5,citation,http://pdfs.semanticscholar.org/eef0/5b87f1a62bf658fc622427187eab4fb0f7a5.pdf,High Performance Human Face Recognition using Independent High Intensity Gabor Wavelet Responses: A Statistical Approach,2011
96,FERET,feret,43.66333345,-79.39769975,University of Toronto,edu,f5c285c3729188884f448db3cc60647f15e289d3,citation,http://pdfs.semanticscholar.org/f5c2/85c3729188884f448db3cc60647f15e289d3.pdf,Sorted Index Numbers for Privacy Preserving Face Recognition,2009
97,FERET,feret,37.4102193,-122.05965487,Carnegie Mellon University,edu,45a3ba54fc2210cf8a4fba0cbdce9dad3cefc826,citation,http://pdfs.semanticscholar.org/45a3/ba54fc2210cf8a4fba0cbdce9dad3cefc826.pdf,Complete Cross-Validation for Nearest Neighbor Classifiers,2000
98,FERET,feret,51.24303255,-0.59001382,University of Surrey,edu,71e942e05f73b163a7ec814a85ff4131cb48f650,citation,http://pdfs.semanticscholar.org/8f83/e1a0c05da3a2f316b75b4a178fadf709dd68.pdf,The BANCA Database and Evaluation Protocol,2003
99,FERET,feret,32.0565957,118.77408833,Nanjing University,edu,1fe0c5562c8dffecc0cadeef2c592bfa6e89b5ca,citation,http://cs.boisestate.edu/~dxu/publications/ICTAI04.pdf,Illumination invariant face recognition based on neural network ensemble,2004
100,FERET,feret,46.897155,-96.81827603,North Dakota State University,edu,1fe0c5562c8dffecc0cadeef2c592bfa6e89b5ca,citation,http://cs.boisestate.edu/~dxu/publications/ICTAI04.pdf,Illumination invariant face recognition based on neural network ensemble,2004
101,FERET,feret,40.00229045,116.32098908,Tsinghua University,edu,58da4e59c4d259196fc6bd807bc8c36636efa4ef,citation,http://pdfs.semanticscholar.org/58da/4e59c4d259196fc6bd807bc8c36636efa4ef.pdf,Symmetrical PCA in face recognition,2002
102,FERET,feret,32.0565957,118.77408833,Nanjing University,edu,c901524f01c7a0db3bb01afa1d5828913c84628a,citation,https://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/jcst06.pdf,Image Region Selection and Ensemble for Face Recognition,2006
103,FERET,feret,37.4102193,-122.05965487,Carnegie Mellon University,edu,221c9fff1c25368a6b72ca679c67a3d6b35e2c00,citation,http://pdfs.semanticscholar.org/5ccb/f66733438ab42fe2da66ad1d37635f4391de.pdf,Memory-Based Face Recognition for Visitor Identification,2000
104,FERET,feret,42.718568,-84.47791571,Michigan State University,edu,fc798314994bf94d1cde8d615ba4d5e61b6268b6,citation,http://pdfs.semanticscholar.org/fc79/8314994bf94d1cde8d615ba4d5e61b6268b6.pdf,"Face Recognition : face in video , age invariance , and facial marks",2009
105,FERET,feret,-34.40505545,150.87834655,University of Wollongong,edu,a3bc6020cd57ebe3a82a0b232f969bcc4e372e53,citation,http://pdfs.semanticscholar.org/a3bc/6020cd57ebe3a82a0b232f969bcc4e372e53.pdf,A Hybrid Feature Extraction Technique for Face Recognition,2014
106,FERET,feret,40.0044795,116.370238,Chinese Academy of Sciences,edu,13d591220f9fdb22d81c2438a008c80843b61fd4,citation,https://pdfs.semanticscholar.org/13d5/91220f9fdb22d81c2438a008c80843b61fd4.pdf,Boosting Multi-gabor Subspaces for Face Recognition,2006
107,FERET,feret,22.42031295,114.20788644,Chinese University of Hong Kong,edu,13d591220f9fdb22d81c2438a008c80843b61fd4,citation,https://pdfs.semanticscholar.org/13d5/91220f9fdb22d81c2438a008c80843b61fd4.pdf,Boosting Multi-gabor Subspaces for Face Recognition,2006
108,FERET,feret,-27.49741805,153.01316956,University of Queensland,edu,621e8882c41cdaf03a2c4a986a6404f0272ba511,citation,https://doi.org/10.1109/IJCNN.2012.6252611,On robust biometric identity verification via sparse encoding of faces: Holistic vs local approaches,2012
109,FERET,feret,52.2380139,6.8566761,University of Twente,edu,8780f14d04671d4f2ed50307d16062d72cc51863,citation,http://pdfs.semanticscholar.org/8780/f14d04671d4f2ed50307d16062d72cc51863.pdf,Likelihood Ratio-Based Detection of Facial Features,2000
110,FERET,feret,43.66333345,-79.39769975,University of Toronto,edu,7a52eb0886892c04c6c80b78795d880a70796cb6,citation,http://www.cs.toronto.edu/~jepson/papers/ChennubhotlaJepsonICPR2004.pdf,Perceptual distance normalization for appearance detection,2004
111,FERET,feret,65.0592157,25.46632601,University of Oulu,edu,1fe121925668743762ce9f6e157081e087171f4c,citation,https://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W02/papers/Ylioinas_Unsupervised_Learning_of_2015_CVPR_paper.pdf,Unsupervised learning of overcomplete face descriptors,2015
112,FERET,feret,29.5084174,106.57858552,Chongqing University,edu,f3cb97791ded4a5c3bed717f820215a1c9648226,citation,http://pdfs.semanticscholar.org/f3cb/97791ded4a5c3bed717f820215a1c9648226.pdf,Multi-scale Block Weber Local Descriptor for Face Recognition,2015
113,FERET,feret,38.83133325,-77.30798839,George Mason University,edu,d28d697b578867500632b35b1b19d3d76698f4a9,citation,http://pdfs.semanticscholar.org/d28d/697b578867500632b35b1b19d3d76698f4a9.pdf,Face Recognition Using Shape and Texture,1999
114,FERET,feret,58.38131405,26.72078081,University of Tartu,edu,5a5ae31263517355d15b7b09d74cb03e40093046,citation,http://pdfs.semanticscholar.org/5a5a/e31263517355d15b7b09d74cb03e40093046.pdf,Super Resolution and Face Recognition Based People Activity Monitoring Enhancement Using Surveillance Camera,2016
115,FERET,feret,32.0565957,118.77408833,Nanjing University,edu,82524c49ea20390c711e0606e50570ac2183c281,citation,http://pdfs.semanticscholar.org/8252/4c49ea20390c711e0606e50570ac2183c281.pdf,(2D)PCA: 2-Directional 2-Dimensional PCA for Efficient Face Representation and Recognition,2005
116,FERET,feret,38.99203005,-76.9461029,University of Maryland College Park,edu,b13a882e6168afc4058fe14cc075c7e41434f43e,citation,http://pdfs.semanticscholar.org/b13a/882e6168afc4058fe14cc075c7e41434f43e.pdf,Recognition of Humans and Their Activities Using Video,2005
117,FERET,feret,39.2899685,-76.62196103,University of Maryland,edu,b13a882e6168afc4058fe14cc075c7e41434f43e,citation,http://pdfs.semanticscholar.org/b13a/882e6168afc4058fe14cc075c7e41434f43e.pdf,Recognition of Humans and Their Activities Using Video,2005
118,FERET,feret,32.9820799,-96.7566278,University of Texas at Dallas,edu,ac9516a589901f1421e8ce905dd8bc5b689317ca,citation,http://pdfs.semanticscholar.org/ac95/16a589901f1421e8ce905dd8bc5b689317ca.pdf,A Practical Framework for Executing Complex Queries over Encrypted Multimedia Data,2016
119,FERET,feret,42.357757,-83.06286711,Wayne State University,edu,cd0503a31a9f9040736ccfb24086dc934508cfc7,citation,http://pdfs.semanticscholar.org/cd05/03a31a9f9040736ccfb24086dc934508cfc7.pdf,Maximizing Resource Utilization In Video Streaming Systems,2015
120,FERET,feret,47.5612651,7.5752961,University of Basel,edu,183c10b7d9ff26576e13a6639de0f7af206ed058,citation,http://gravis.cs.unibas.ch/publications/CVPR05_Blanz.pdf,Face recognition based on frontal views generated from non-frontal images,2005
121,FERET,feret,1.3461952,103.6815499,"Nanyang Technological University, Singapore",edu,96d34c1a749e74af0050004162d9dc5132098a79,citation,https://doi.org/10.1109/TNN.2005.844909,High-speed face recognition based on discrete cosine transform and RBF neural networks,2005
122,FERET,feret,41.10427915,29.02231159,Istanbul Technical University,edu,559645d2447004355c83737a19c9a811b45780f1,citation,https://doi.org/10.1109/ICB.2015.7139114,Combining view-based pose normalization and feature transform for cross-pose face recognition,2015
123,FERET,feret,49.10184375,8.4331256,Karlsruhe Institute of Technology,edu,559645d2447004355c83737a19c9a811b45780f1,citation,https://doi.org/10.1109/ICB.2015.7139114,Combining view-based pose normalization and feature transform for cross-pose face recognition,2015
124,FERET,feret,46.5184121,6.5684654,École Polytechnique Fédérale de Lausanne,edu,559645d2447004355c83737a19c9a811b45780f1,citation,https://doi.org/10.1109/ICB.2015.7139114,Combining view-based pose normalization and feature transform for cross-pose face recognition,2015
125,FERET,feret,40.00229045,116.32098908,Tsinghua University,edu,bc866c2ced533252f29cf2111dd71a6d1724bd49,citation,http://pdfs.semanticscholar.org/bc86/6c2ced533252f29cf2111dd71a6d1724bd49.pdf,A Multi-Modal Face Recognition Method Using Complete Local Derivative Patterns and Depth Maps,2014
126,FERET,feret,42.718568,-84.47791571,Michigan State University,edu,63a584487beb7382cad8ed70020f108ded5bf076,citation,https://pdfs.semanticscholar.org/2bb3/4f45b1f0ae2b602a6f25f1966cd0f84e3f5f.pdf,Face Detection and Modeling for Recognition,2002
127,FERET,feret,22.5611537,88.41310194,Jadavpur University,edu,5e6c23d2e2f92a90bd35bdbc937b2d7d95ee2d55,citation,http://pdfs.semanticscholar.org/5e6c/23d2e2f92a90bd35bdbc937b2d7d95ee2d55.pdf,Fusion of Wavelet Coefficients from Visual and Thermal Face Images for Human Face Recognition - A Comparative Study,2006
128,FERET,feret,40.0044795,116.370238,Chinese Academy of Sciences,edu,c03e01717b2d93f04cce9b5fd2dcfd1143bcc180,citation,http://pdfs.semanticscholar.org/c03e/01717b2d93f04cce9b5fd2dcfd1143bcc180.pdf,Locality-Constrained Active Appearance Model,2012
129,FERET,feret,39.9082804,116.2458527,University of Chinese Academy of Sciences,edu,c03e01717b2d93f04cce9b5fd2dcfd1143bcc180,citation,http://pdfs.semanticscholar.org/c03e/01717b2d93f04cce9b5fd2dcfd1143bcc180.pdf,Locality-Constrained Active Appearance Model,2012
130,FERET,feret,37.4102193,-122.05965487,Carnegie Mellon University,edu,4d15254f6f31356963cc70319ce416d28d8924a3,citation,http://pdfs.semanticscholar.org/4d15/254f6f31356963cc70319ce416d28d8924a3.pdf,Quo vadis Face Recognition?,2001
131,FERET,feret,13.65450525,100.49423171,Robotics Institute,edu,4d15254f6f31356963cc70319ce416d28d8924a3,citation,http://pdfs.semanticscholar.org/4d15/254f6f31356963cc70319ce416d28d8924a3.pdf,Quo vadis Face Recognition?,2001
132,FERET,feret,40.44415295,-79.96243993,University of Pittsburgh,edu,4d15254f6f31356963cc70319ce416d28d8924a3,citation,http://pdfs.semanticscholar.org/4d15/254f6f31356963cc70319ce416d28d8924a3.pdf,Quo vadis Face Recognition?,2001
133,FERET,feret,33.776033,-84.39884086,Georgia Institute of Technology,edu,1dad684de1ce4c013ba04eb4b1a70355b3786ecd,citation,http://pdfs.semanticscholar.org/933d/06908b782279b1127c9ba498d868b26ffe8e.pdf,Computers Seeing People,1999
134,FERET,feret,22.5611537,88.41310194,Jadavpur University,edu,52909a123ba3b088a5a93d930dcd029ec2f1f24f,citation,http://pdfs.semanticscholar.org/5d05/a0deec42a061541bbd399bc9e40d4ad3374a.pdf,A Gabor-Block-Based Kernel Discriminative Common Vector Approach Using Cosine Kernels for Human Face Recognition,2012
135,FERET,feret,35.14479945,33.90492318,Eastern Mediterranean University,edu,b374391ab793a1bb2ecde4df51be9d97c2cbf79a,citation,https://pdfs.semanticscholar.org/b374/391ab793a1bb2ecde4df51be9d97c2cbf79a.pdf,Improved PCA based Face Recognition using Feature based Classifier Ensemble,2015
136,FERET,feret,42.3573046,-71.0582415,"Affectiva, Inc.",company,d10cfcf206b0991e3bc20ac28df1f61c63516f30,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6553776,Smile or smirk? Automatic detection of spontaneous asymmetric smiles to understand viewer experience,2013
137,FERET,feret,32.8536333,-117.2035286,Kyung Hee University,edu,bf0836e5c10add0b13005990ba019a9c4b744b06,citation,https://doi.org/10.1109/TCE.2009.5373791,An enhanced independent component-based human facial expression recognition from video,2009
138,FERET,feret,42.718568,-84.47791571,Michigan State University,edu,051f03bc25ec633592aa2ff5db1d416b705eac6c,citation,http://www.cse.msu.edu/biometrics/Publications/Face/LiaoJain_PartialFR_AlignmentFreeApproach_ICJB11.pdf,Partial face recognition: An alignment free approach,2011
139,FERET,feret,36.3697191,127.362537,Korea Advanced Institute of Science and Technology,edu,aba31184783150c723805831cde0f22fe257b835,citation,http://pdfs.semanticscholar.org/aba3/1184783150c723805831cde0f22fe257b835.pdf,Contribution of Non-scrambled Chroma Information in Privacy-Protected Face Images to Privacy Leakage,2011
140,FERET,feret,43.66333345,-79.39769975,University of Toronto,edu,aba31184783150c723805831cde0f22fe257b835,citation,http://pdfs.semanticscholar.org/aba3/1184783150c723805831cde0f22fe257b835.pdf,Contribution of Non-scrambled Chroma Information in Privacy-Protected Face Images to Privacy Leakage,2011
141,FERET,feret,40.47913175,-74.43168868,Rutgers University,edu,7ef41e2be5116912fe8a4906b4fb89ac9dcf819d,citation,http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1334492,A hybrid face recognition method using Markov random fields,2004
142,FERET,feret,38.83133325,-77.30798839,George Mason University,edu,757e4cb981e807d83539d9982ad325331cb59b16,citation,http://pdfs.semanticscholar.org/757e/4cb981e807d83539d9982ad325331cb59b16.pdf,Demographics versus Biometric Automatic Interoperability,2013
143,FERET,feret,41.9037626,12.5144384,Sapienza University of Rome,edu,757e4cb981e807d83539d9982ad325331cb59b16,citation,http://pdfs.semanticscholar.org/757e/4cb981e807d83539d9982ad325331cb59b16.pdf,Demographics versus Biometric Automatic Interoperability,2013
144,FERET,feret,49.2622421,-123.2450052,University of Perugia,edu,67c08e2b8b918a61dcbd0d4c63a74b89b833d259,citation,http://pdfs.semanticscholar.org/67c0/8e2b8b918a61dcbd0d4c63a74b89b833d259.pdf,Multi-class texture analysis in colorectal cancer histology,2016
145,FERET,feret,38.83133325,-77.30798839,George Mason University,edu,ac942c4870e55fe1d9822d62edcdb685d41cd2bf,citation,http://pdfs.semanticscholar.org/ac94/2c4870e55fe1d9822d62edcdb685d41cd2bf.pdf,Pose Discriminiation and Eye Detection Using Support Vector Machines (SVM),1998
146,FERET,feret,44.97308605,-93.23708813,University of Minnesota,edu,ac942c4870e55fe1d9822d62edcdb685d41cd2bf,citation,http://pdfs.semanticscholar.org/ac94/2c4870e55fe1d9822d62edcdb685d41cd2bf.pdf,Pose Discriminiation and Eye Detection Using Support Vector Machines (SVM),1998
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150,FERET,feret,42.718568,-84.47791571,Michigan State University,edu,5dbf772b98cb944befa9cf01ec5d15da713a338b,citation,http://pdfs.semanticscholar.org/9d82/44d5a32ecc314860c1d673d687df28f77d84.pdf,Face modeling for recognition,2001
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153,FERET,feret,37.4102193,-122.05965487,Carnegie Mellon University,edu,2b73e3d541b0208ae54b3920fef4bfd9fd0c84a7,citation,http://pdfs.semanticscholar.org/2b73/e3d541b0208ae54b3920fef4bfd9fd0c84a7.pdf,Feature-based face representations and image reconstruction from behavioral and neural data.,2016
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155,FERET,feret,40.0044795,116.370238,Chinese Academy of Sciences,edu,1e8d0998c69caf6e9495db1d6df562f8b9e90003,citation,http://pdfs.semanticscholar.org/1e8d/0998c69caf6e9495db1d6df562f8b9e90003.pdf,Solving the Small Sample Size Problem of LDA,2002
156,FERET,feret,32.87935255,-117.23110049,"University of California, San Diego",edu,99b93f67c3b2b0a474bf5670a7dd40a6a0e849ac,citation,http://pdfs.semanticscholar.org/99b9/3f67c3b2b0a474bf5670a7dd40a6a0e849ac.pdf,NIMBLER: A Model of Visual Attention and Object Recognition With a Biologically Plausible Retina,2007
157,FERET,feret,39.9601488,116.35193921,Beijing University of Posts and Telecommunications,edu,9729930ab0f9cbcd07f1105bc69c540330cda50a,citation,https://doi.org/10.1109/ACCESS.2017.2749331,Compressing Fisher Vector for Robust Face Recognition,2017
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160,FERET,feret,47.5612651,7.5752961,University of Basel,edu,ff47698be7313005d0ea0fe0cc72c13f2f4b092a,citation,http://pdfs.semanticscholar.org/ff47/698be7313005d0ea0fe0cc72c13f2f4b092a.pdf,Caring or daring? Exploring the impact of facial masculinity/femininity and gender category information on first impressions,2017
161,FERET,feret,35.84658875,127.1350133,Chonbuk National University,edu,0c6a18b0cee01038eb1f9373c369835b236373ae,citation,https://doi.org/10.1007/s11042-017-4359-9,Learning warps based similarity for pose-unconstrained face recognition,2017
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165,FERET,feret,41.5007811,2.11143663,Universitat Autònoma de Barcelona,edu,dc964b9c7242a985eb255b2410a9c45981c2f4d0,citation,http://doi.org/10.1007/s10851-018-0837-6,Feature Extraction by Using Dual-Generalized Discriminative Common Vectors,2018
166,FERET,feret,40.00229045,116.32098908,Tsinghua University,edu,8023864256a1a4a26e130a7165f3d70875c27467,citation,http://pdfs.semanticscholar.org/8023/864256a1a4a26e130a7165f3d70875c27467.pdf,LUT-Based Adaboost for Gender Classification,2003
167,FERET,feret,47.05821,15.46019568,Graz University of Technology,edu,2a77e3221d0512aa5674cf6f9041c1ce81fc07f0,citation,http://pdfs.semanticscholar.org/65de/08bab21921fba39e97f0bc3585f62cb2bd5d.pdf,An Automatic Hybrid Segmentation Approach for Aligned Face Portrait Images,2009
168,FERET,feret,51.5231607,-0.1282037,University College London,edu,aff92784567095ee526a705e21be4f42226bbaab,citation,http://pdfs.semanticscholar.org/aff9/2784567095ee526a705e21be4f42226bbaab.pdf,Face recognition in uncontrolled environments,2015
169,FERET,feret,47.79475945,13.05417525,University of Salzburg,edu,a7d7fba176e442f60899c57b976ae6de6d013ceb,citation,http://pdfs.semanticscholar.org/a7d7/fba176e442f60899c57b976ae6de6d013ceb.pdf,Gender differences in experiential and facial reactivity to approval and disapproval during emotional social interactions,2015
170,FERET,feret,52.3553655,4.9501644,University of Amsterdam,edu,a7d7fba176e442f60899c57b976ae6de6d013ceb,citation,http://pdfs.semanticscholar.org/a7d7/fba176e442f60899c57b976ae6de6d013ceb.pdf,Gender differences in experiential and facial reactivity to approval and disapproval during emotional social interactions,2015
171,FERET,feret,35.6902784,139.69540096,Kogakuin University,edu,ca50b25eaad0c9146fc5a4a2cd4c472c77b970ba,citation,http://pdfs.semanticscholar.org/ca50/b25eaad0c9146fc5a4a2cd4c472c77b970ba.pdf,Face Recognition Using Histogram-based Features in Spatial and Frequency Domains,2013
172,FERET,feret,38.2530945,140.8736593,Tohoku University,edu,ca50b25eaad0c9146fc5a4a2cd4c472c77b970ba,citation,http://pdfs.semanticscholar.org/ca50/b25eaad0c9146fc5a4a2cd4c472c77b970ba.pdf,Face Recognition Using Histogram-based Features in Spatial and Frequency Domains,2013
173,FERET,feret,22.59805605,113.98533784,Shenzhen Institutes of Advanced Technology,edu,79dc9a1aa2ab7fa46e8024bd654a4a5776c1a6d6,citation,http://mmlab.siat.ac.cn/sfchen-old/Publications/ICIA11-3Dtracking.pdf,Robust non-rigid 3D tracking for face recognition in real-world videos,2011
174,FERET,feret,22.42031295,114.20788644,Chinese University of Hong Kong,edu,79dc9a1aa2ab7fa46e8024bd654a4a5776c1a6d6,citation,http://mmlab.siat.ac.cn/sfchen-old/Publications/ICIA11-3Dtracking.pdf,Robust non-rigid 3D tracking for face recognition in real-world videos,2011
175,FERET,feret,43.7743911,-79.50481085,York University,edu,ffe4bb47ec15f768e1744bdf530d5796ba56cfc1,citation,https://arxiv.org/pdf/1706.04277.pdf,AFIF4: Deep Gender Classification based on AdaBoost-based Fusion of Isolated Facial Features and Foggy Faces,2017
176,FERET,feret,27.18794105,31.17009498,Assiut University,edu,ffe4bb47ec15f768e1744bdf530d5796ba56cfc1,citation,https://arxiv.org/pdf/1706.04277.pdf,AFIF4: Deep Gender Classification based on AdaBoost-based Fusion of Isolated Facial Features and Foggy Faces,2017
177,FERET,feret,39.9601488,116.35193921,Beijing University of Posts and Telecommunications,edu,cd6aaa37fffd0b5c2320f386be322b8adaa1cc68,citation,https://arxiv.org/pdf/1804.06655.pdf,Deep Face Recognition: A Survey,2018
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179,FERET,feret,46.897155,-96.81827603,North Dakota State University,edu,f2ad9b43bac8c2bae9dea694f6a4e44c760e63da,citation,http://pdfs.semanticscholar.org/f2ad/9b43bac8c2bae9dea694f6a4e44c760e63da.pdf,A Study on Illumination Invariant Face Recognition Methods Based on Multiple Eigenspaces,2005
180,FERET,feret,33.776033,-84.39884086,Georgia Institute of Technology,edu,933d06908b782279b1127c9ba498d868b26ffe8e,citation,https://pdfs.semanticscholar.org/933d/06908b782279b1127c9ba498d868b26ffe8e.pdf,Computers Seeing People,1999
181,FERET,feret,32.87935255,-117.23110049,"University of California, San Diego",edu,9e31e77f9543ab42474ba4e9330676e18c242e72,citation,https://arxiv.org/pdf/1807.11649.pdf,The Devil of Face Recognition is in the Noise,2018
182,FERET,feret,1.3484104,103.68297965,Nanyang Technological University,edu,9e31e77f9543ab42474ba4e9330676e18c242e72,citation,https://arxiv.org/pdf/1807.11649.pdf,The Devil of Face Recognition is in the Noise,2018
183,FERET,feret,65.0592157,25.46632601,University of Oulu,edu,769d1a0aff0cf7842c7861d30ce654a029d6b467,citation,http://pdfs.semanticscholar.org/769d/1a0aff0cf7842c7861d30ce654a029d6b467.pdf,Descriptor Learning Based on Fisher Separation Criterion for Texture Classification,2010
184,FERET,feret,31.30104395,121.50045497,Fudan University,edu,380862d22617064ffab1a3b42f0b11752d6bd785,citation,http://pdfs.semanticscholar.org/3808/62d22617064ffab1a3b42f0b11752d6bd785.pdf,Recognition from a Single Sample per Person with Multiple SOM Fusion,2006
185,FERET,feret,41.98676415,20.96254516,South East European University,edu,f2cc459ada3abd9d8aa82e92710676973aeff275,citation,http://ieeexplore.ieee.org/document/5967185/,Object class recognition using range of multiple computer vision algorithms,2011
186,FERET,feret,49.25839375,-123.24658161,University of British Columbia,edu,4bc55ffc2f53801267ca1767028515be6e84f551,citation,http://pdfs.semanticscholar.org/4bc5/5ffc2f53801267ca1767028515be6e84f551.pdf,The Decision to Engage Cognitive Control Is Driven by Expected Reward-Value: Neural and Behavioral Evidence,2012
187,FERET,feret,28.54632595,77.27325504,Indian Institute of Technology Delhi,edu,0fae5d9d2764a8d6ea691b9835d497dd680bbccd,citation,http://pdfs.semanticscholar.org/0fae/5d9d2764a8d6ea691b9835d497dd680bbccd.pdf,Face Recognition using Canonical Correlation Analysis,2006
188,FERET,feret,22.42031295,114.20788644,Chinese University of Hong Kong,edu,71ed20748c919cd261024b146992ced4c9c2157b,citation,http://mmlab.ie.cuhk.edu.hk/archive/2006/01640756.pdf,Learning Semantic Patterns with Discriminant Localized Binary Projections,2006
189,FERET,feret,39.977217,116.337632,Microsoft Research Asia,company,71ed20748c919cd261024b146992ced4c9c2157b,citation,http://mmlab.ie.cuhk.edu.hk/archive/2006/01640756.pdf,Learning Semantic Patterns with Discriminant Localized Binary Projections,2006
190,FERET,feret,40.11571585,-88.22750772,Beckman Institute,edu,71ed20748c919cd261024b146992ced4c9c2157b,citation,http://mmlab.ie.cuhk.edu.hk/archive/2006/01640756.pdf,Learning Semantic Patterns with Discriminant Localized Binary Projections,2006
191,FERET,feret,51.24303255,-0.59001382,University of Surrey,edu,9103148dd87e6ff9fba28509f3b265e1873166c9,citation,http://pdfs.semanticscholar.org/9103/148dd87e6ff9fba28509f3b265e1873166c9.pdf,Face Analysis using 3D Morphable Models,2015
192,FERET,feret,33.30715065,-111.67653157,Arizona State University,edu,80cef64706957c53a31b67045d208efe39205c9e,citation,http://pdfs.semanticscholar.org/80ce/f64706957c53a31b67045d208efe39205c9e.pdf,Deficits in other-race face recognition: no evidence for encoding-based effects.,2009
193,FERET,feret,51.44415765,7.26096541,Ruhr-University Bochum,edu,ce0aa94c79f60c35073f434a7fd6987180f81527,citation,http://pdfs.semanticscholar.org/ce0a/a94c79f60c35073f434a7fd6987180f81527.pdf,Achieving Anonymity against Major Face Recognition Algorithms,2013
194,FERET,feret,-33.3578899,151.37834708,University of Newcastle,edu,eb6f15c59e6f2ffaa9a0a55d3f045c23a5a6d275,citation,http://pdfs.semanticscholar.org/eb6f/15c59e6f2ffaa9a0a55d3f045c23a5a6d275.pdf,State-Trace Analysis of the Face Inversion Effect,2009
195,FERET,feret,51.5231607,-0.1282037,University College London,edu,db3e78704df982b2af92282e4a74aa3b59ea3a2e,citation,https://pdfs.semanticscholar.org/1e69/9d9e0470c5d39ff78eaf21b394a90691c513.pdf,A recurrent dynamic model for correspondence-based face recognition.,2008
196,FERET,feret,38.2530945,140.8736593,Tohoku University,edu,7589bded8fed54d6eb7800d24ace662b37ed0779,citation,https://pdfs.semanticscholar.org/7589/bded8fed54d6eb7800d24ace662b37ed0779.pdf,Face Recognition Algorithm Using Muti-direction Markov Stationary Features and Adjacent Pixel Intensity Difference Quantization Histogram,2012
197,FERET,feret,24.18005755,120.64836072,Feng Chia University,edu,344a5802999dddd0a6d1c4d511910af2eb922231,citation,http://pdfs.semanticscholar.org/f0ba/552418698d1b881c6f9f02e2c84f969e66f3.pdf,DroneFace: An Open Dataset for Drone Research,2017
198,FERET,feret,65.0592157,25.46632601,University of Oulu,edu,7c87f445a15597f603756587e0f9b8cf4d942ecc,citation,http://pdfs.semanticscholar.org/7c87/f445a15597f603756587e0f9b8cf4d942ecc.pdf,Analysis of Sampling Techniques for Learning Binarized Statistical Image Features Using Fixations and Salience,2014
199,FERET,feret,40.00229045,116.32098908,Tsinghua University,edu,04e06481e455c6eb838c22e8505dafc01b7d0cfa,citation,http://mmlab.ie.cuhk.edu.hk/archive/2008/L1.pdf,L<inf>1</inf> regularized projection pursuit for additive model learning,2008
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202,FERET,feret,51.0784038,-114.1287077,University of Calgary,edu,9902acd6ce7662c93ee2bd41c6c11a6b99ad8754,citation,https://pdfs.semanticscholar.org/9902/acd6ce7662c93ee2bd41c6c11a6b99ad8754.pdf,Robust Multimodal Biometric System using Markov Chain based Rank Level Fusion,2010
203,FERET,feret,-27.47715625,153.02841004,Queensland University of Technology,edu,6342a4c54835c1e14159495373ab18b4233d2d9b,citation,http://pdfs.semanticscholar.org/6342/a4c54835c1e14159495373ab18b4233d2d9b.pdf,Towards Pose-robust Face Recognition on Video,2014
204,FERET,feret,54.98023235,-1.61452627,Newcastle University,edu,241416b1249d2b71b373f8dcf054110d579a2148,citation,http://pdfs.semanticscholar.org/2414/16b1249d2b71b373f8dcf054110d579a2148.pdf,Biometric face recognition using multilinear projection and artificial intelligence,2013
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206,FERET,feret,42.357757,-83.06286711,Wayne State University,edu,95d567081510e8e59834febc958668015c174602,citation,http://pdfs.semanticscholar.org/95d5/67081510e8e59834febc958668015c174602.pdf,Combining Gabor features: summing vs. voting in human face recognition,2003
207,FERET,feret,45.7835966,4.7678948,École Centrale de Lyon,edu,e984017c5849ea78e3f50e374a5539770989536d,citation,http://pdfs.semanticscholar.org/e984/017c5849ea78e3f50e374a5539770989536d.pdf,Bilinear Discriminant Analysis for Face Recognition,2005
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214,FERET,feret,38.83133325,-77.30798839,George Mason University,edu,a1c1970f7c728cc96aea798d65d38df7c9ea61dc,citation,http://pdfs.semanticscholar.org/a1c1/970f7c728cc96aea798d65d38df7c9ea61dc.pdf,Eye Location Using Genetic Algorithm,1999
215,FERET,feret,47.05821,15.46019568,Graz University of Technology,edu,e121bf6f18e1cb114216a521df63c55030d10fbe,citation,http://pdfs.semanticscholar.org/e121/bf6f18e1cb114216a521df63c55030d10fbe.pdf,Robust Facial Component Detection for Face Alignment Applications,2009
216,FERET,feret,32.0565957,118.77408833,Nanjing University,edu,bc6011807fadc2d3e6bc97bb2c2ecee5ec1b64a8,citation,http://pdfs.semanticscholar.org/bc60/11807fadc2d3e6bc97bb2c2ecee5ec1b64a8.pdf,Robust Face Recognition from a Single Training Image per Person with Kernel-Based SOM-Face,2004
217,FERET,feret,40.0044795,116.370238,Chinese Academy of Sciences,edu,bc6011807fadc2d3e6bc97bb2c2ecee5ec1b64a8,citation,http://pdfs.semanticscholar.org/bc60/11807fadc2d3e6bc97bb2c2ecee5ec1b64a8.pdf,Robust Face Recognition from a Single Training Image per Person with Kernel-Based SOM-Face,2004
218,FERET,feret,51.24303255,-0.59001382,University of Surrey,edu,09ef369754fccb530e658b8331c405867c0d45a6,citation,http://pdfs.semanticscholar.org/09ef/369754fccb530e658b8331c405867c0d45a6.pdf,Comparison of Face Verification Results on the XM2VTS Database,2000
219,FERET,feret,40.62984145,22.9588935,Aristotle University of Thessaloniki,edu,09ef369754fccb530e658b8331c405867c0d45a6,citation,http://pdfs.semanticscholar.org/09ef/369754fccb530e658b8331c405867c0d45a6.pdf,Comparison of Face Verification Results on the XM2VTS Database,2000
220,FERET,feret,-33.88890695,151.18943366,University of Sydney,edu,09ef369754fccb530e658b8331c405867c0d45a6,citation,http://pdfs.semanticscholar.org/09ef/369754fccb530e658b8331c405867c0d45a6.pdf,Comparison of Face Verification Results on the XM2VTS Database,2000
221,FERET,feret,47.3764534,8.54770931,ETH Zürich,edu,09ef369754fccb530e658b8331c405867c0d45a6,citation,http://pdfs.semanticscholar.org/09ef/369754fccb530e658b8331c405867c0d45a6.pdf,Comparison of Face Verification Results on the XM2VTS Database,2000
222,FERET,feret,22.3386304,114.2620337,Hong Kong University of Science and Technology,edu,ca2e14671f5043dab985dd18e10c5e3f51e2e8be,citation,http://pdfs.semanticscholar.org/ca2e/14671f5043dab985dd18e10c5e3f51e2e8be.pdf,Face Recognition by Using Elongated Local Binary Patterns with Average Maximum Distance Gradient Magnitude,2007
223,FERET,feret,34.0224149,-118.28634407,University of Southern California,edu,edc6d96ae195897b33c07f5fa428149915b4cf6a,citation,http://pdfs.semanticscholar.org/edc6/d96ae195897b33c07f5fa428149915b4cf6a.pdf,Face Pose Estimation System by Combining Hybrid Ica-svm Learning and 3d Modeling,2003
224,FERET,feret,35.14479945,33.90492318,Eastern Mediterranean University,edu,f65ff9d6d0025f198ac4f924d2f0df121bc51c67,citation,http://pdfs.semanticscholar.org/f65f/f9d6d0025f198ac4f924d2f0df121bc51c67.pdf,Overlapping on Partitioned Facial Images,2006
225,FERET,feret,47.5612651,7.5752961,University of Basel,edu,916498961a51f56a592c3551b0acc25978571fa7,citation,http://doi.ieeecomputersociety.org/10.1109/ICCV.2011.6126275,Optimal landmark detection using shape models and branch and bound,2011
226,FERET,feret,35.9023226,14.4834189,University of Malta,edu,4efd58102ff46b7435c9ec6d4fc3dd21d93b15b4,citation,https://doi.org/10.1109/TIFS.2017.2788002,"Matching Software-Generated Sketches to Face Photographs With a Very Deep CNN, Morphed Faces, and Transfer Learning",2018
227,FERET,feret,24.7246403,46.62335012,King Saud University,edu,e26a7e343fe109e2b52d1eeea5b02dae836f3502,citation,https://doi.org/10.1109/ACCESS.2017.2676238,Facial Expression Recognition Utilizing Local Direction-Based Robust Features and Deep Belief Network,2017
228,FERET,feret,59.93891665,10.72170765,University of Oslo,edu,e26a7e343fe109e2b52d1eeea5b02dae836f3502,citation,https://doi.org/10.1109/ACCESS.2017.2676238,Facial Expression Recognition Utilizing Local Direction-Based Robust Features and Deep Belief Network,2017
229,FERET,feret,31.9078499,34.81334092,Weizmann Institute of Science,edu,4cb8a691a15e050756640c0a35880cdd418e2b87,citation,http://www.vision.caltech.edu/~bart/Publications/2004/BartUllmanClassBasedMatching.pdf,Class-Based Matching of Object Parts,2004
230,FERET,feret,39.4808376,-0.3409522,Universitat Politècnica de València,edu,99b8a24aacaa53fa3f8a7e48734037c7b16f1c40,citation,https://doi.org/10.1109/ACCESS.2017.2752176,A Proposal to Improve the Authentication Process in m-Health Environments,2017
231,FERET,feret,32.7283683,-97.11201835,University of Texas at Arlington,edu,c2fa83e8a428c03c74148d91f60468089b80c328,citation,http://pdfs.semanticscholar.org/c2fa/83e8a428c03c74148d91f60468089b80c328.pdf,Optimal Mean Robust Principal Component Analysis,2014
232,FERET,feret,28.0599999,-82.41383619,University of South Florida,edu,1b3e66bef13f114943d460b4f942e941b4761ba2,citation,http://www.nist.gov/customcf/get_pdf.cfm?pub_id=890061,Subspace Approximation of Face Recognition Algorithms: An Empirical Study,2008
233,FERET,feret,39.1254938,-77.22293475,National Institute of Standards and Technology,edu,1b3e66bef13f114943d460b4f942e941b4761ba2,citation,http://www.nist.gov/customcf/get_pdf.cfm?pub_id=890061,Subspace Approximation of Face Recognition Algorithms: An Empirical Study,2008
234,FERET,feret,28.0599999,-82.41383619,University of South Florida,edu,bdc3546ceee0c2bda9debff7de9aa7d53a03fe7d,citation,https://pdfs.semanticscholar.org/bdc3/546ceee0c2bda9debff7de9aa7d53a03fe7d.pdf,Modeling distance functions induced by face recognition algorithms,2015
235,FERET,feret,37.4102193,-122.05965487,Carnegie Mellon University,edu,0fbe38527279f49561c0e1c6ff4e8f733fb79bbe,citation,http://pdfs.semanticscholar.org/7561/b691eb5e9913e4c3cb11caf2738d58b9c896.pdf,Integrating Utility into Face De-identification,2005
236,FERET,feret,43.66333345,-79.39769975,University of Toronto,edu,90ea3a35e946af97372c3f32a170b179fe8352aa,citation,http://pdfs.semanticscholar.org/90ea/3a35e946af97372c3f32a170b179fe8352aa.pdf,Discriminant Learning for Face Recognition,2004
237,FERET,feret,35.93006535,-84.31240032,Oak Ridge National Laboratory,edu,43a03cbe8b704f31046a5aba05153eb3d6de4142,citation,http://pdfs.semanticscholar.org/9594/3329cd6922a869dd6d58ef01e9492879034c.pdf,Towards Robust Face Recognition from Video,2001
238,FERET,feret,37.43131385,-122.16936535,Stanford University,edu,cdd2ba6e6436cb5950692702053195a22789d129,citation,https://pdfs.semanticscholar.org/976c/3b5ad438fb0cf2fb157964e8e6f07a09ad9e.pdf,Face-likeness and image variability drive responses in human face-selective ventral regions.,2012
239,FERET,feret,31.76909325,117.17795091,Anhui University,edu,b910590a0eb191d03e1aedb3d55c905129e92e6b,citation,http://doi.acm.org/10.1145/2808492.2808570,Robust gender classification on unconstrained face images,2015
240,FERET,feret,40.0044795,116.370238,Chinese Academy of Sciences,edu,b910590a0eb191d03e1aedb3d55c905129e92e6b,citation,http://doi.acm.org/10.1145/2808492.2808570,Robust gender classification on unconstrained face images,2015
241,FERET,feret,43.66333345,-79.39769975,University of Toronto,edu,dc4089294cb15e071893d24bdf2baa15de5dcb0b,citation,http://www.comm.toronto.edu/~kostas/Publications2008/pub/proceed/105.pdf,Feature selection for subject identification in surveillance photos [face recognition applications],2004
242,FERET,feret,-33.3578899,151.37834708,University of Newcastle,edu,a80d057099a6ca872508f5d416a8cd67b788506a,citation,https://pdfs.semanticscholar.org/a80d/057099a6ca872508f5d416a8cd67b788506a.pdf,A dissociation between similarity effects in episodic face recognition.,2009
243,FERET,feret,44.97308605,-93.23708813,University of Minnesota,edu,998cdde7c83a50f0abac69c7c3d20f3729a65d00,citation,https://pdfs.semanticscholar.org/998c/dde7c83a50f0abac69c7c3d20f3729a65d00.pdf,Redundancy effects in the perception and memory of visual objects,2010
244,FERET,feret,34.66869155,-82.83743476,Clemson University,edu,56c273538a2dbb4cf43c39fa4725592e97ec1681,citation,http://pdfs.semanticscholar.org/56c2/73538a2dbb4cf43c39fa4725592e97ec1681.pdf,Eye Tracking to Enhance Facial Recognition Algorithms,2011
245,FERET,feret,25.7173339,-80.27866887,University of Miami,edu,c1f07ec629be1c6fe562af0e34b04c54e238dcd1,citation,http://pdfs.semanticscholar.org/c1f0/7ec629be1c6fe562af0e34b04c54e238dcd1.pdf,A Novel Facial Feature Localization Method Using Probabilistic-like Output,2004
246,FERET,feret,37.5600406,126.9369248,Yonsei University,edu,5173a20304ea7baa6bfe97944a5c7a69ea72530f,citation,http://pdfs.semanticscholar.org/5173/a20304ea7baa6bfe97944a5c7a69ea72530f.pdf,Best Basis Selection Method Using Learning Weights for Face Recognition,2013
247,FERET,feret,40.00229045,116.32098908,Tsinghua University,edu,83e893858d6a6b8abb07d89e9f821f90c2b074ea,citation,http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1334677,Facial image retrieval based on demographic classification,2004
248,FERET,feret,34.0224149,-118.28634407,University of Southern California,edu,2d8a84a8e661ce3913cb6c05b18984b14ed11dac,citation,http://pdfs.semanticscholar.org/6fd6/af3864fc5eb62e6328be79bf8174e939efcc.pdf,P3: Toward Privacy-Preserving Photo Sharing,2013
249,FERET,feret,40.34829285,-74.66308325,Princeton University,edu,643d11703569766bed0a994941ae5f7b3e101659,citation,https://arxiv.org/pdf/1806.06098.pdf,Unsupervised Training for 3D Morphable Model Regression,2018
250,FERET,feret,42.3619407,-71.0904378,MIT CSAIL,edu,643d11703569766bed0a994941ae5f7b3e101659,citation,https://arxiv.org/pdf/1806.06098.pdf,Unsupervised Training for 3D Morphable Model Regression,2018
251,FERET,feret,-29.8674219,30.9807272,University of KwaZulu-Natal,edu,fcfb48b19f37e531a56ae95186a214b05c0b94c7,citation,https://pdfs.semanticscholar.org/fcfb/48b19f37e531a56ae95186a214b05c0b94c7.pdf,FACE RECOGNITION WITH EIGENFACES – A DETAILED STUDY,2012
252,FERET,feret,32.87935255,-117.23110049,"University of California, San Diego",edu,8c22dc1b494c4612c4ebc61b22a480666cd841d5,citation,http://pdfs.semanticscholar.org/b95b/9fcccb23be8948e96f0c110aaaedc0f7334a.pdf,Towards Practical Facial Feature Detection,2009
253,FERET,feret,30.284151,-97.73195598,University of Texas at Austin,edu,8c22dc1b494c4612c4ebc61b22a480666cd841d5,citation,http://pdfs.semanticscholar.org/b95b/9fcccb23be8948e96f0c110aaaedc0f7334a.pdf,Towards Practical Facial Feature Detection,2009
254,FERET,feret,41.25713055,-72.9896696,Yale University,edu,297c4503a18a959e3a06613d5e7e026ba351b9bf,citation,http://pdfs.semanticscholar.org/297c/4503a18a959e3a06613d5e7e026ba351b9bf.pdf,Neurolaw: Differential brain activity for black and white faces predicts damage awards in hypothetical employment discrimination cases.,2012
255,FERET,feret,53.21967825,6.56251482,University of Groningen,edu,4ff4c27e47b0aa80d6383427642bb8ee9d01c0ac,citation,https://doi.org/10.1109/SSCI.2015.37,Deep Convolutional Neural Networks and Support Vector Machines for Gender Recognition,2015
256,FERET,feret,37.43131385,-122.16936535,Stanford University,edu,90f0e0701b755bbce89cb0e4e3f0a070d49814a0,citation,http://pdfs.semanticscholar.org/90f0/e0701b755bbce89cb0e4e3f0a070d49814a0.pdf,Beyond the retina: Evidence for a face inversion effect in the environmental frame of reference,2011
257,FERET,feret,24.7925484,120.9951183,National Tsing Hua University,edu,ede16b198b83d04b52dc3f0dafc11fd82c5abac4,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7952343,LBP edge-mapped descriptor using MGM interest points for face recognition,2017
258,FERET,feret,42.0551164,-87.67581113,Northwestern University,edu,a6f93435e006328fd0a5dcb7639e771431cc2c37,citation,http://pdfs.semanticscholar.org/c161/7c3c90e4596867d94a00a3a2bb1d55c8843b.pdf,Why Some Faces won't be Remembered: Brain Potentials Illuminate Successful Versus Unsuccessful Encoding for Same-Race and Other-Race Faces,2011
259,FERET,feret,40.72925325,-73.99625394,New York University,edu,a6f93435e006328fd0a5dcb7639e771431cc2c37,citation,http://pdfs.semanticscholar.org/c161/7c3c90e4596867d94a00a3a2bb1d55c8843b.pdf,Why Some Faces won't be Remembered: Brain Potentials Illuminate Successful Versus Unsuccessful Encoding for Same-Race and Other-Race Faces,2011
260,FERET,feret,-34.9189226,138.60423668,University of Adelaide,edu,e2aafdd2f508ee383a0227de9cee00246f251ebf,citation,https://pdfs.semanticscholar.org/c6f0/53bc5dbdcd89cba842251feaa4bb8b91378b.pdf,Face Matching Under Time Pressure and Task Demands,0
261,FERET,feret,39.9808333,116.34101249,Beihang University,edu,699be9152895977b0b272887320d543c9c7f6157,citation,http://pdfs.semanticscholar.org/699b/e9152895977b0b272887320d543c9c7f6157.pdf,Artistic Illumination Transfer for Portraits,2012
262,FERET,feret,-29.8674219,30.9807272,University of KwaZulu-Natal,edu,651ea8b030470ab4a70efced154e77028a102713,citation,https://pdfs.semanticscholar.org/651e/a8b030470ab4a70efced154e77028a102713.pdf,Increasing Face Recognition Rate,2016
263,FERET,feret,32.0565957,118.77408833,Nanjing University,edu,62647a8f8a534db2ccfd0df7d513b4f084231d10,citation,http://pdfs.semanticscholar.org/6264/7a8f8a534db2ccfd0df7d513b4f084231d10.pdf,Weighted SOM-Face: Selecting Local Features for Recognition from Individual Face Image,2005
264,FERET,feret,31.30104395,121.50045497,Fudan University,edu,62647a8f8a534db2ccfd0df7d513b4f084231d10,citation,http://pdfs.semanticscholar.org/6264/7a8f8a534db2ccfd0df7d513b4f084231d10.pdf,Weighted SOM-Face: Selecting Local Features for Recognition from Individual Face Image,2005
265,FERET,feret,52.22165395,21.00735776,Warsaw University of Technology,edu,d31bf8f6f9404a0ab2e601e723b9a07287d0693b,citation,http://pdfs.semanticscholar.org/d31b/f8f6f9404a0ab2e601e723b9a07287d0693b.pdf,Feature Space Reduction for Face Recognition with Dual Linear Discriminant Analysis,2005
266,FERET,feret,38.83133325,-77.30798839,George Mason University,edu,35cdd4df9f039f475247bf03fdcc605e40683dce,citation,http://pdfs.semanticscholar.org/35cd/d4df9f039f475247bf03fdcc605e40683dce.pdf,Eye Detection and Face Recognition Using Evolutionary Computation,1998
267,FERET,feret,38.2530945,140.8736593,Tohoku University,edu,5c707dc74c3c39674f74dc22f6b6325af456811c,citation,http://www.aoki.ecei.tohoku.ac.jp/~ito/W13_04.pdf,Restoring occluded regions using FW-PCA for face recognition,2012
268,FERET,feret,38.83133325,-77.30798839,George Mason University,edu,a40476d94c5cf1f929ee9514d3761dca00dd774b,citation,http://pdfs.semanticscholar.org/a404/76d94c5cf1f929ee9514d3761dca00dd774b.pdf,Watch List Face Surveillance Using Transductive Inference,2004
269,FERET,feret,41.25713055,-72.9896696,Yale University,edu,e4691de78d35ed7085311a466b8d02198bf714ac,citation,http://pdfs.semanticscholar.org/e469/1de78d35ed7085311a466b8d02198bf714ac.pdf,The relation between race-related implicit associations and scalp-recorded neural activity evoked by faces from different races.,2009
270,FERET,feret,32.87935255,-117.23110049,"University of California, San Diego",edu,85639cefb8f8deab7017ce92717674d6178d43cc,citation,http://pdfs.semanticscholar.org/8563/9cefb8f8deab7017ce92717674d6178d43cc.pdf,Automatic Analysis of Spontaneous Facial Behavior: A Final Project Report,2001
271,FERET,feret,32.87935255,-117.23110049,"University of California, San Diego",edu,a967426ec9b761a989997d6a213d890fc34c5fe3,citation,http://vision.ucsd.edu/sites/default/files/043-wacv.pdf,Relative ranking of facial attractiveness,2013
272,FERET,feret,37.3003127,126.972123,SungKyunKwan University,edu,055530f7f771bb1d5f352e2758d1242408d34e4d,citation,http://pdfs.semanticscholar.org/0555/30f7f771bb1d5f352e2758d1242408d34e4d.pdf,A Facial Expression Recognition System from Depth Video,2014
273,FERET,feret,38.83133325,-77.30798839,George Mason University,edu,be84d76093a791bf78bed74ef1d7db54abeca878,citation,http://pdfs.semanticscholar.org/be84/d76093a791bf78bed74ef1d7db54abeca878.pdf,Open World Face Recognition with Credibility and Confidence Measures,2003
274,FERET,feret,28.0599999,-82.41383619,University of South Florida,edu,ddb49e36570af09d96059b3b6f08f9124aafe24f,citation,http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.129,A Non-Iterative Approach to Reconstruct Face Templates from Match Scores,2006
275,FERET,feret,32.42143805,-81.78450529,Georgia Southern University,edu,98fcf33916a9bb4efdc652541573b2e7ef9e7d87,citation,http://pdfs.semanticscholar.org/98fc/f33916a9bb4efdc652541573b2e7ef9e7d87.pdf,Trustworthy Tricksters: Violating a Negative Social Expectation Affects Source Memory and Person Perception When Fear of Exploitation Is High,2016
276,FERET,feret,37.5600406,126.9369248,Yonsei University,edu,11fa5abb5d5d09efbf9dacae6a6ceb9b2647f877,citation,https://arxiv.org/pdf/1507.02049v3.pdf,DCTNet: A simple learning-free approach for face recognition,2015
277,FERET,feret,49.10184375,8.4331256,Karlsruhe Institute of Technology,edu,cfdc4d0f8e1b4b9ced35317d12b4229f2e3311ab,citation,https://pdfs.semanticscholar.org/cfdc/4d0f8e1b4b9ced35317d12b4229f2e3311ab.pdf,Quaero at TRECVID 2010: Semantic Indexing,2010
278,FERET,feret,65.0592157,25.46632601,University of Oulu,edu,dbc749490275db26337c7e3201027e8cef8e371c,citation,http://pdfs.semanticscholar.org/dbc7/49490275db26337c7e3201027e8cef8e371c.pdf,Multi-band Gradient Component Pattern (MGCP): A New Statistical Feature for Face Recognition,2009
279,FERET,feret,47.05821,15.46019568,Graz University of Technology,edu,65f6d0d91cdf1a77e3c5cb78c7d21f0f4f01f8b5,citation,http://pdfs.semanticscholar.org/65f6/d0d91cdf1a77e3c5cb78c7d21f0f4f01f8b5.pdf,"PhD Thesis Incremental, Robust, and Efficient Linear Discriminant Analysis Learning",2008
280,FERET,feret,32.0565957,118.77408833,Nanjing University,edu,0e9ea74cf7106057efdb63f275ca6bb838168b0c,citation,http://pdfs.semanticscholar.org/0e9e/a74cf7106057efdb63f275ca6bb838168b0c.pdf,Progressive Principal Component Analysis,2004
281,FERET,feret,51.0784038,-114.1287077,University of Calgary,edu,d4d2014f05e17869b72f180fd0065358c722ac65,citation,http://pdfs.semanticscholar.org/d4d2/014f05e17869b72f180fd0065358c722ac65.pdf,UNIVERSITY OF CALGARY A MULTIMODAL BIOMETRIC SYSTEM BASED ON RANK LEVEL FUSION by MD. MARUF MONWAR A THESIS SUBMITTED TO THE FACULTY OF GRADUATE STUDIES IN PARTIAL FULFILMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY,2012
282,FERET,feret,24.18005755,120.64836072,Feng Chia University,edu,fdd7c9f3838b8d868911afaafa08beffb79b5228,citation,https://pdfs.semanticscholar.org/fdd7/c9f3838b8d868911afaafa08beffb79b5228.pdf,An efficient mechanism for compensating vague pattern identification in support of a multi-criteria recommendation system,2016
283,FERET,feret,22.9991916,120.21625134,National Cheng Kung University,edu,fdd7c9f3838b8d868911afaafa08beffb79b5228,citation,https://pdfs.semanticscholar.org/fdd7/c9f3838b8d868911afaafa08beffb79b5228.pdf,An efficient mechanism for compensating vague pattern identification in support of a multi-criteria recommendation system,2016
284,FERET,feret,41.10427915,29.02231159,Istanbul Technical University,edu,d3d5d86afec84c0713ec868cf5ed41661fc96edc,citation,https://arxiv.org/pdf/1606.02894.pdf,A Comprehensive Analysis of Deep Learning Based Representation for Face Recognition,2016
285,FERET,feret,40.8927159,29.37863323,Sabanci University,edu,d3d5d86afec84c0713ec868cf5ed41661fc96edc,citation,https://arxiv.org/pdf/1606.02894.pdf,A Comprehensive Analysis of Deep Learning Based Representation for Face Recognition,2016
286,FERET,feret,32.7283683,-97.11201835,University of Texas at Arlington,edu,20100dbeb2dfebc7595d79755d737b21e75f39a6,citation,http://pdfs.semanticscholar.org/2010/0dbeb2dfebc7595d79755d737b21e75f39a6.pdf,Cluster Indicator Decomposition for Efficient Matrix Factorization,2011
287,FERET,feret,37.4102193,-122.05965487,Carnegie Mellon University,edu,3ca9453d3c023bb81cce72ff2d633fc5075e1df6,citation,http://pdfs.semanticscholar.org/e36f/5fab8758194fcad043e23288330657fe7742.pdf,Generic vs. Person Specific Active Appearance Models,2004
288,FERET,feret,28.59899755,-81.19712501,University of Central Florida,edu,d082f35534932dfa1b034499fc603f299645862d,citation,http://pdfs.semanticscholar.org/d082/f35534932dfa1b034499fc603f299645862d.pdf,"TAMING WILD FACES: WEB-SCALE, OPEN-UNIVERSE FACE IDENTIFICATION IN STILL AND VIDEO IMAGERY by ENRIQUE",2014
289,FERET,feret,40.00229045,116.32098908,Tsinghua University,edu,649b47e02b82afeccc858f1f3dcec98379bfbbbd,citation,http://pdfs.semanticscholar.org/649b/47e02b82afeccc858f1f3dcec98379bfbbbd.pdf,Face Alignment Under Various Poses and Expressions,2005
290,FERET,feret,37.43131385,-122.16936535,Stanford University,edu,7264c2a8900c2ab41575578eb2d50557b2829f84,citation,http://pdfs.semanticscholar.org/7264/c2a8900c2ab41575578eb2d50557b2829f84.pdf,Silhouetted face profiles: a new methodology for face perception research.,2007
291,FERET,feret,32.0565957,118.77408833,Nanjing University,edu,9887ab220254859ffc7354d5189083a87c9bca6e,citation,http://pdfs.semanticscholar.org/9887/ab220254859ffc7354d5189083a87c9bca6e.pdf,Generic Image Classification Approaches Excel on Face Recognition,2013
292,FERET,feret,-34.9189226,138.60423668,University of Adelaide,edu,9887ab220254859ffc7354d5189083a87c9bca6e,citation,http://pdfs.semanticscholar.org/9887/ab220254859ffc7354d5189083a87c9bca6e.pdf,Generic Image Classification Approaches Excel on Face Recognition,2013
293,FERET,feret,58.38131405,26.72078081,University of Tartu,edu,838ed2aae603dec5851ebf5e4bc64b54db7f34be,citation,http://pdfs.semanticscholar.org/838e/d2aae603dec5851ebf5e4bc64b54db7f34be.pdf,Real-Time Ensemble Based Face Recognition System for Humanoid Robots,2016
294,FERET,feret,32.8536333,-117.2035286,Kyung Hee University,edu,6fe83b5fdeeb6d92f24af3aed6a34c5bf9ce8845,citation,http://pdfs.semanticscholar.org/6fe8/3b5fdeeb6d92f24af3aed6a34c5bf9ce8845.pdf,Face Recognition Based on Local Directional Pattern Variance (LDPv),2012
295,FERET,feret,23.7289899,90.3982682,Institute of Information Technology,edu,6e177341d4412f9c9a639e33e6096344ef930202,citation,https://pdfs.semanticscholar.org/2e58/ec57d71b2b2a3e71086234dd7037559cc17e.pdf,A Gender Recognition System from Facial Image,2018
296,FERET,feret,23.7316957,90.3965275,University of Dhaka,edu,6e177341d4412f9c9a639e33e6096344ef930202,citation,https://pdfs.semanticscholar.org/2e58/ec57d71b2b2a3e71086234dd7037559cc17e.pdf,A Gender Recognition System from Facial Image,2018
297,FERET,feret,40.7423025,-74.17928172,New Jersey Institute of Technology,edu,327eab70296d39511d61e91c6839446d59f5e119,citation,https://pdfs.semanticscholar.org/327e/ab70296d39511d61e91c6839446d59f5e119.pdf,Roadmap for Reliable Ensemble Forecasting of the Sun-Earth System,2018
298,FERET,feret,21.2982795,-157.8186923,University of Hawaii,edu,327eab70296d39511d61e91c6839446d59f5e119,citation,https://pdfs.semanticscholar.org/327e/ab70296d39511d61e91c6839446d59f5e119.pdf,Roadmap for Reliable Ensemble Forecasting of the Sun-Earth System,2018
299,FERET,feret,40.11116745,-88.22587665,"University of Illinois, Urbana-Champaign",edu,327eab70296d39511d61e91c6839446d59f5e119,citation,https://pdfs.semanticscholar.org/327e/ab70296d39511d61e91c6839446d59f5e119.pdf,Roadmap for Reliable Ensemble Forecasting of the Sun-Earth System,2018
300,FERET,feret,38.83133325,-77.30798839,George Mason University,edu,327eab70296d39511d61e91c6839446d59f5e119,citation,https://pdfs.semanticscholar.org/327e/ab70296d39511d61e91c6839446d59f5e119.pdf,Roadmap for Reliable Ensemble Forecasting of the Sun-Earth System,2018
301,FERET,feret,34.13710185,-118.12527487,California Institute of Technology,edu,327eab70296d39511d61e91c6839446d59f5e119,citation,https://pdfs.semanticscholar.org/327e/ab70296d39511d61e91c6839446d59f5e119.pdf,Roadmap for Reliable Ensemble Forecasting of the Sun-Earth System,2018
302,FERET,feret,42.2942142,-83.71003894,University of Michigan,edu,327eab70296d39511d61e91c6839446d59f5e119,citation,https://pdfs.semanticscholar.org/327e/ab70296d39511d61e91c6839446d59f5e119.pdf,Roadmap for Reliable Ensemble Forecasting of the Sun-Earth System,2018
303,FERET,feret,41.7411504,-111.8122309,Utah State University,edu,327eab70296d39511d61e91c6839446d59f5e119,citation,https://pdfs.semanticscholar.org/327e/ab70296d39511d61e91c6839446d59f5e119.pdf,Roadmap for Reliable Ensemble Forecasting of the Sun-Earth System,2018
304,FERET,feret,36.3697191,127.362537,Korea Advanced Institute of Science and Technology,edu,b29f348e8675f75ff160ec65ebeeb3f3979b65d8,citation,http://pdfs.semanticscholar.org/b29f/348e8675f75ff160ec65ebeeb3f3979b65d8.pdf,An objective and subjective evaluation of content-based privacy protection of face images in video surveillance systems using JPEG XR,2013
305,FERET,feret,43.66333345,-79.39769975,University of Toronto,edu,b29f348e8675f75ff160ec65ebeeb3f3979b65d8,citation,http://pdfs.semanticscholar.org/b29f/348e8675f75ff160ec65ebeeb3f3979b65d8.pdf,An objective and subjective evaluation of content-based privacy protection of face images in video surveillance systems using JPEG XR,2013
306,FERET,feret,39.9922379,116.30393816,Peking University,edu,1c2724243b27a18a2302f12dea79d9a1d4460e35,citation,http://read.pudn.com/downloads157/doc/697237/kfd/Fisher+Kernel%20criterion%20for%20discriminant%20analysis.pdf,Fisher+Kernel criterion for discriminant analysis,2005
307,FERET,feret,31.83907195,117.26420748,University of Science and Technology of China,edu,1c2724243b27a18a2302f12dea79d9a1d4460e35,citation,http://read.pudn.com/downloads157/doc/697237/kfd/Fisher+Kernel%20criterion%20for%20discriminant%20analysis.pdf,Fisher+Kernel criterion for discriminant analysis,2005
308,FERET,feret,22.42031295,114.20788644,Chinese University of Hong Kong,edu,1c2724243b27a18a2302f12dea79d9a1d4460e35,citation,http://read.pudn.com/downloads157/doc/697237/kfd/Fisher+Kernel%20criterion%20for%20discriminant%20analysis.pdf,Fisher+Kernel criterion for discriminant analysis,2005
309,FERET,feret,50.74223495,-1.89433739,Bournemouth University,edu,d16f37a15f6385a6a189b06833745da5d524f69b,citation,https://pdfs.semanticscholar.org/d16f/37a15f6385a6a189b06833745da5d524f69b.pdf,Hebb repetition effects for non-verbal visual sequences: determinants of sequence acquisition.,2017
310,FERET,feret,40.00229045,116.32098908,Tsinghua University,edu,13791aa7c1047724c4046eee94e66a506b211eb9,citation,http://pdfs.semanticscholar.org/1379/1aa7c1047724c4046eee94e66a506b211eb9.pdf,Real-time Gender Classification,2003
311,FERET,feret,37.3003127,126.972123,SungKyunKwan University,edu,fa72e39971855dff6beb8174b5fa654e0ab7d324,citation,https://doi.org/10.1007/s11042-013-1793-1,"A depth video-based facial expression recognition system using radon transform, generalized discriminant analysis, and hidden Markov model",2013
312,FERET,feret,24.7246403,46.62335012,King Saud University,edu,fa72e39971855dff6beb8174b5fa654e0ab7d324,citation,https://doi.org/10.1007/s11042-013-1793-1,"A depth video-based facial expression recognition system using radon transform, generalized discriminant analysis, and hidden Markov model",2013
313,FERET,feret,27.18794105,31.17009498,Assiut University,edu,3843b8c4143e9f1e50c61eb462376e65861bbf24,citation,http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.359,Color Image Processing Using Reduced Biquaternions with Application to Face Recognition in a PCA Framework,2017
314,FERET,feret,37.4102193,-122.05965487,Carnegie Mellon University,edu,0cc3c62f762d64cffcab4ac7fea3896cb22a3df9,citation,http://pdfs.semanticscholar.org/d30f/cc0e4c2c78cc5ff7bbd1227d3952d366a479.pdf,Preserving Privacy by De-identifying Facial Images,2003
315,FERET,feret,53.8925662,-122.81471592,University of Northern British Columbia,edu,2cae2ca6221fbfa9655e41ac52e54631ada7ad2c,citation,http://pdfs.semanticscholar.org/ffd6/14925a326efcb27ef52accd5638a912b4792.pdf,Electoral College and Direct Popular Vote for Multi-Candidate Election,2010
316,FERET,feret,34.2249827,-77.86907744,University of North Carolina at Wilmington,edu,328bfd1d0229bc4973277f893abd1eb288159fc9,citation,http://pdfs.semanticscholar.org/328b/fd1d0229bc4973277f893abd1eb288159fc9.pdf,A review of the literature on the aging adult skull and face: implications for forensic science research and applications.,2007
317,FERET,feret,32.87935255,-117.23110049,"University of California, San Diego",edu,18b4e9e51ee14c9d816358fbe1af29f0771b7916,citation,http://pdfs.semanticscholar.org/18b4/e9e51ee14c9d816358fbe1af29f0771b7916.pdf,Intelligent environments and active camera networks,2000
318,FERET,feret,40.8722825,-73.89489171,City University of New York,edu,0dde6981047067692793b71a2f7ad6a8708741d8,citation,http://pdfs.semanticscholar.org/0dde/6981047067692793b71a2f7ad6a8708741d8.pdf,MODELING PHYSICAL PERSONALITIES FOR VIRTUAL AGENTS BY MODELING TRAIT IMPRESSIONS OF THE FACE: A NEURAL NETWORK ANALYSIS by SHERYL BRAHNAM,2002
319,FERET,feret,45.7413921,126.62552755,Harbin Institute of Technology,edu,20675281008211641d28ce0f2b6946537a8535c4,citation,http://pdfs.semanticscholar.org/2067/5281008211641d28ce0f2b6946537a8535c4.pdf,Multi-resolution Histograms of Local Variation Patterns (MHLVP) for Robust Face Recognition,2005
320,FERET,feret,52.9387428,-1.20029569,University of Nottingham,edu,c22df6df55f5c6539e1a4d2e2d50dbaab34007a7,citation,http://pdfs.semanticscholar.org/c22d/f6df55f5c6539e1a4d2e2d50dbaab34007a7.pdf,Compact Binary Patterns (CBP) with Multiple Patch Classifiers for Fast and Accurate Face Recognition,2010
321,FERET,feret,32.87935255,-117.23110049,"University of California, San Diego",edu,2e6e335e591da1e8899ff53f9a7ddb4c63520104,citation,http://pdfs.semanticscholar.org/528a/6698911ff30aa648af4d0a5cf0dd9ee90b5c.pdf,Is All Face Processing Holistic? The View from UCSD,2003
322,FERET,feret,41.6659,-91.57310307,University of Iowa,edu,2e6e335e591da1e8899ff53f9a7ddb4c63520104,citation,http://pdfs.semanticscholar.org/528a/6698911ff30aa648af4d0a5cf0dd9ee90b5c.pdf,Is All Face Processing Holistic? The View from UCSD,2003
323,FERET,feret,42.57054745,-88.55578627,University of Geneva,edu,9c1b132243e0dcacde1717ce1cfe730a74bd8cbc,citation,http://pdfs.semanticscholar.org/9c1b/132243e0dcacde1717ce1cfe730a74bd8cbc.pdf,Hippocampus Is Place of Interaction between Unconscious and Conscious Memories,2015
324,FERET,feret,1.2962018,103.77689944,National University of Singapore,edu,4fb9f05dc03eb4983d8f9a815745bb47970f1b93,citation,http://pdfs.semanticscholar.org/f4ee/4f7ac7585f7ea0db3b27c5ad016dbfb0feac.pdf,"On Robust Face Recognition via Sparse Encoding: the Good, the Bad, and the Ugly",2013
325,FERET,feret,-27.49741805,153.01316956,University of Queensland,edu,4fb9f05dc03eb4983d8f9a815745bb47970f1b93,citation,http://pdfs.semanticscholar.org/f4ee/4f7ac7585f7ea0db3b27c5ad016dbfb0feac.pdf,"On Robust Face Recognition via Sparse Encoding: the Good, the Bad, and the Ugly",2013
326,FERET,feret,-27.47715625,153.02841004,Queensland University of Technology,edu,4fb9f05dc03eb4983d8f9a815745bb47970f1b93,citation,http://pdfs.semanticscholar.org/f4ee/4f7ac7585f7ea0db3b27c5ad016dbfb0feac.pdf,"On Robust Face Recognition via Sparse Encoding: the Good, the Bad, and the Ugly",2013
327,FERET,feret,52.9387428,-1.20029569,University of Nottingham,edu,b9df25cc4be2f703b059da93823bad6e8e8c0659,citation,http://pdfs.semanticscholar.org/b9df/25cc4be2f703b059da93823bad6e8e8c0659.pdf,Local Gabor Binary Pattern Whitened PCA: A Novel Approach for Face Recognition from Single Image Per Person,2009
328,FERET,feret,24.4399419,118.09301781,Xiamen University,edu,57ba4b6de23a6fc9d45ff052ed2563e5de00b968,citation,https://doi.org/10.1109/ICIP.2017.8296993,An efficient deep neural networks training framework for robust face recognition,2017
329,FERET,feret,32.7283683,-97.11201835,University of Texas at Arlington,edu,90bd16caa44086db6f0e4bbc1dde7063cb71b7b8,citation,http://www.kdd.org/kdd2016/papers/files/rfp1162-wangA.pdf,Structured Doubly Stochastic Matrix for Graph Based Clustering: Structured Doubly Stochastic Matrix,2016
330,FERET,feret,1.2962018,103.77689944,National University of Singapore,edu,15d1582c8b65dbab5ca027467718a2c286ddce7a,citation,http://pdfs.semanticscholar.org/15d1/582c8b65dbab5ca027467718a2c286ddce7a.pdf,"On robust face recognition via sparse coding: the good, the bad and the ugly",2014
331,FERET,feret,-27.49741805,153.01316956,University of Queensland,edu,15d1582c8b65dbab5ca027467718a2c286ddce7a,citation,http://pdfs.semanticscholar.org/15d1/582c8b65dbab5ca027467718a2c286ddce7a.pdf,"On robust face recognition via sparse coding: the good, the bad and the ugly",2014
332,FERET,feret,-27.47715625,153.02841004,Queensland University of Technology,edu,15d1582c8b65dbab5ca027467718a2c286ddce7a,citation,http://pdfs.semanticscholar.org/15d1/582c8b65dbab5ca027467718a2c286ddce7a.pdf,"On robust face recognition via sparse coding: the good, the bad and the ugly",2014
333,FERET,feret,34.8452999,48.5596212,Islamic Azad University,edu,e19a4dadf60848309c8fd7445d97918da654df76,citation,https://pdfs.semanticscholar.org/e19a/4dadf60848309c8fd7445d97918da654df76.pdf,JPEG Compressed Domain Face Recognition : Different Stages and Different Features,2013
334,FERET,feret,47.5612651,7.5752961,University of Basel,edu,d1633dc3706580c8b9d98c4c0dfa9f9a29360ca3,citation,https://arxiv.org/pdf/1712.01619.pdf,Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems,2018
335,FERET,feret,51.49887085,-0.17560797,Imperial College London,edu,e104e213faa97d9a9c8b8e1f15b7431c601cb250,citation,https://arxiv.org/pdf/1802.04636.pdf,Modeling of facial aging and kinship: A survey,2018
336,FERET,feret,51.59029705,-0.22963221,Middlesex University,edu,e104e213faa97d9a9c8b8e1f15b7431c601cb250,citation,https://arxiv.org/pdf/1802.04636.pdf,Modeling of facial aging and kinship: A survey,2018
337,FERET,feret,43.66333345,-79.39769975,University of Toronto,edu,da6696345d0d4ff6328c1c5916b0ca870d4cc6cf,citation,http://pdfs.semanticscholar.org/da66/96345d0d4ff6328c1c5916b0ca870d4cc6cf.pdf,Robust Contrast-Invariant EigenDetection,2002
338,FERET,feret,52.2380139,6.8566761,University of Twente,edu,3b3550680136aa2fe3bd57c9faa3bfa0dfb3e748,citation,http://pdfs.semanticscholar.org/3b35/50680136aa2fe3bd57c9faa3bfa0dfb3e748.pdf,Forensic Face Recognition: a Survey,2010
339,FERET,feret,31.30104395,121.50045497,Fudan University,edu,4ba3f9792954ee3ba894e1e330cd77da4668fa22,citation,http://pdfs.semanticscholar.org/4ba3/f9792954ee3ba894e1e330cd77da4668fa22.pdf,Nearest Neighbor Discriminant Analysis,2006
340,FERET,feret,52.9387428,-1.20029569,University of Nottingham,edu,472ba8dd4ec72b34e85e733bccebb115811fd726,citation,http://pdfs.semanticscholar.org/472b/a8dd4ec72b34e85e733bccebb115811fd726.pdf,Cosine Similarity Metric Learning for Face Verification,2010
341,FERET,feret,46.109237,7.08453549,IDIAP Research Institute,edu,ba9e967208976f24a09730af94086e7ae0417067,citation,http://pdfs.semanticscholar.org/f369/03d22a463876b895bbe37b5f9ad235a38edd.pdf,An Open Source Framework for Standardized Comparisons of Face Recognition Algorithms,2012
342,FERET,feret,40.4319722,-86.92389368,Purdue University,edu,4d527974512083712c9adf26a923b44d7e426b44,citation,http://pdfs.semanticscholar.org/4d52/7974512083712c9adf26a923b44d7e426b44.pdf,Impact of Image Quality on Performance: Comparison of Young and Elderly Fingerprints,2006
343,FERET,feret,-38.19928505,144.30365229,Deakin University,edu,e96ce25d11296fce4e2ecc2da03bd207dc118724,citation,https://doi.org/10.1007/s00138-007-0095-x,Classification of face images using local iterated function systems,2007
344,FERET,feret,42.0551164,-87.67581113,Northwestern University,edu,fcd2fb1ada96218dcc2547efa040e76416cc7066,citation,http://pdfs.semanticscholar.org/fcd2/fb1ada96218dcc2547efa040e76416cc7066.pdf,Perceptual data mining: bootstrapping visual intelligence from tracking behavior,2002
345,FERET,feret,42.3583961,-71.09567788,MIT,edu,fcd2fb1ada96218dcc2547efa040e76416cc7066,citation,http://pdfs.semanticscholar.org/fcd2/fb1ada96218dcc2547efa040e76416cc7066.pdf,Perceptual data mining: bootstrapping visual intelligence from tracking behavior,2002
346,FERET,feret,37.3351908,-121.88126008,San Jose State University,edu,97930609f1a5066fd437ed8a4e57abbfb1ae4b12,citation,http://pdfs.semanticscholar.org/bef4/03c136beaa6fd43fc3184d4666512daaf9e5.pdf,Best Practices in Testing and Reporting Performance of Biometric Devices,2002
347,FERET,feret,47.5612651,7.5752961,University of Basel,edu,985dc9b8b003483f6df363a8ce07dd8c89ced903,citation,http://pdfs.semanticscholar.org/985d/c9b8b003483f6df363a8ce07dd8c89ced903.pdf,"3D Morphable Face Model, a Unified Approach for Analysis and Synthesis of Images",0
348,FERET,feret,34.2375581,-77.9270129,University of North Carolina Wilmington,edu,1057137d8ebbbfc4e816d74edd7ab04f61a893f8,citation,https://pdfs.semanticscholar.org/1057/137d8ebbbfc4e816d74edd7ab04f61a893f8.pdf,Craniofacial Aging,2008
349,FERET,feret,37.548215,-77.45306424,Virginia Commonwealth University,edu,1057137d8ebbbfc4e816d74edd7ab04f61a893f8,citation,https://pdfs.semanticscholar.org/1057/137d8ebbbfc4e816d74edd7ab04f61a893f8.pdf,Craniofacial Aging,2008
350,FERET,feret,37.4102193,-122.05965487,Carnegie Mellon University,edu,005d818ff8517669d62ba7b536e76b56698fa135,citation,http://pdfs.semanticscholar.org/4d7e/e94f164cce28a8bfef4417e9a99265b02b54.pdf,Neural Network-Based Face Detection,1996
351,FERET,feret,39.9492344,-75.19198985,University of Pennsylvania,edu,0c85d1b384bb6e2d5d6e4db5461a7101ceed6808,citation,http://pdfs.semanticscholar.org/0ff8/d39a962ed902e1c995815ade265ea903d218.pdf,Engineering Privacy in Public: Confounding Face Recognition,2003
352,FERET,feret,37.21872455,-80.42542519,Virginia Polytechnic Institute and State University,edu,9107543d9a9d915c92fe4139932c5d818cfc187d,citation,http://pdfs.semanticscholar.org/9107/543d9a9d915c92fe4139932c5d818cfc187d.pdf,Investigation of New Techniques for Face Detection,2007
353,FERET,feret,37.4102193,-122.05965487,Carnegie Mellon University,edu,b3e856729f89b082b4108561479ff09394bb6553,citation,http://pdfs.semanticscholar.org/b3e8/56729f89b082b4108561479ff09394bb6553.pdf,Pose Robust Video - Based Face Recognition,2004
354,FERET,feret,34.0224149,-118.28634407,University of Southern California,edu,d1836e137787fadb28d3418e029534765bcf1dae,citation,http://pdfs.semanticscholar.org/d183/6e137787fadb28d3418e029534765bcf1dae.pdf,"Analysis , Synthesis and Recognition of Human Faces with Pose Variations",2001
355,FERET,feret,37.4102193,-122.05965487,Carnegie Mellon University,edu,2fd1c99edbb3d22cec4adc9ba9319cfc2360e903,citation,http://pdfs.semanticscholar.org/98c8/ca05ed5baff5b217c571ab5c5a0ee0706e27.pdf,Rotation Invariant Neural Network-Based Face Detection,1998
356,FERET,feret,45.5039761,-73.5749687,McGill University,edu,b6145d3268032da70edc9cfececa1f9ffa4e3f11,citation,http://cnl.salk.edu/~zhafed/papers/fr_IJCV_2001.pdf,Face Recognition Using the Discrete Cosine Transform,2001
357,FERET,feret,54.00975365,-2.78757491,Lancaster University,edu,01b73cfd803f0bdeab8bbfc26cd1ed110c762c91,citation,http://pdfs.semanticscholar.org/01b7/3cfd803f0bdeab8bbfc26cd1ed110c762c91.pdf,Facial Recognition Technology A Survey of Policy and Implementation Issues,2009
358,FERET,feret,34.0224149,-118.28634407,University of Southern California,edu,c9579768d142a7020d095090183805c98a2f78e5,citation,http://pdfs.semanticscholar.org/e30d/b2331efa48f6c60330d492210ed6395774f2.pdf,The Bochum/USC Face Recognition System and How it Fared in the FERET Phase III Test,0
359,FERET,feret,37.4102193,-122.05965487,Carnegie Mellon University,edu,42fe5666599f35b805657e829e8f9093ee95b908,citation,http://pdfs.semanticscholar.org/42fe/5666599f35b805657e829e8f9093ee95b908.pdf,Pose-Tolerant Face Recognition,2015
360,FERET,feret,42.3583961,-71.09567788,MIT,edu,29c7dfbbba7a74e9aafb6a6919629b0a7f576530,citation,http://pdfs.semanticscholar.org/29c7/dfbbba7a74e9aafb6a6919629b0a7f576530.pdf,Automatic Facial Expression Analysis and Emotional Classification,2004
361,FERET,feret,34.0224149,-118.28634407,University of Southern California,edu,f6a65be9a3790e8fd3b5116450a47a8e48a54d63,citation,http://pdfs.semanticscholar.org/f6a6/5be9a3790e8fd3b5116450a47a8e48a54d63.pdf,Parametric Piecewise Linear Subspace Method for Processing Facial Images with 3D Pose Variations,0
362,FERET,feret,38.8964679,-104.8050594,University of Colorado at Colorado Springs,edu,07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1,citation,http://www.vast.uccs.edu/~tboult/PAPERS/BTAS13-Sapkota-Boult-UCCSFaceDB.pdf,Large scale unconstrained open set face database,2013
363,FERET,feret,41.5007811,2.11143663,Universitat Autònoma de Barcelona,edu,f7f19ac1c4e38c104045c306f5ddac6329193d8c,citation,http://pdfs.semanticscholar.org/f7f1/9ac1c4e38c104045c306f5ddac6329193d8c.pdf,Measuring External Face Appearance for Face Classification,2007
364,FERET,feret,28.0599999,-82.41383619,University of South Florida,edu,57bd46b16644be40b2e0dc595c1aaa6abbadba89,citation,http://pdfs.semanticscholar.org/c3f7/6fe32a0ca448f1ce7004198827df48bf827b.pdf,Overview of Work in Empirical Evaluation of Computer Vision Algorithms,2005
365,FERET,feret,39.1254938,-77.22293475,National Institute of Standards and Technology,edu,57bd46b16644be40b2e0dc595c1aaa6abbadba89,citation,http://pdfs.semanticscholar.org/c3f7/6fe32a0ca448f1ce7004198827df48bf827b.pdf,Overview of Work in Empirical Evaluation of Computer Vision Algorithms,2005
366,FERET,feret,40.4319722,-86.92389368,Purdue University,edu,fc83a26beb38b17af737c4ff34141d0deea3a4e1,citation,http://pdfs.semanticscholar.org/fc83/a26beb38b17af737c4ff34141d0deea3a4e1.pdf,The Challenges of the Environment and the Human / Biometric Device Interaction on Biometric System Performance,2004
367,FERET,feret,40.0044795,116.370238,Chinese Academy of Sciences,edu,1e3739716e163fce6fded71eda078a18334aa83b,citation,https://doi.org/10.1109/CVPRW.2009.5204149,The HFB Face Database for Heterogeneous Face Biometrics research,2009
368,FERET,feret,22.42031295,114.20788644,Chinese University of Hong Kong,edu,a0d6390dd28d802152f207940c7716fe5fae8760,citation,http://pdfs.semanticscholar.org/a0d6/390dd28d802152f207940c7716fe5fae8760.pdf,Bayesian Face Revisited: A Joint Formulation,2012
369,FERET,feret,31.83907195,117.26420748,University of Science and Technology of China,edu,a0d6390dd28d802152f207940c7716fe5fae8760,citation,http://pdfs.semanticscholar.org/a0d6/390dd28d802152f207940c7716fe5fae8760.pdf,Bayesian Face Revisited: A Joint Formulation,2012
370,FERET,feret,40.00229045,116.32098908,Tsinghua University,edu,b19ca50a9e2415072a97482005fe0b77a8a495ce,citation,http://pdfs.semanticscholar.org/b19c/a50a9e2415072a97482005fe0b77a8a495ce.pdf,Hierarchical Direct Appearance Model for Elastic Labeled Graph Localization,2003
371,FERET,feret,55.94951105,-3.19534913,University of Edinburgh,edu,5bf954ca82b42865c49eef4b064278b82f3b38de,citation,http://pdfs.semanticscholar.org/80b0/045eed3a1fc9ab502963f6fb3e6f70a2f638.pdf,Re-engaging with the past: recapitulation of encoding operations during episodic retrieval,2014
372,FERET,feret,51.0784038,-114.1287077,University of Calgary,edu,5bf954ca82b42865c49eef4b064278b82f3b38de,citation,http://pdfs.semanticscholar.org/80b0/045eed3a1fc9ab502963f6fb3e6f70a2f638.pdf,Re-engaging with the past: recapitulation of encoding operations during episodic retrieval,2014
373,FERET,feret,-33.8840504,151.1992254,University of Technology,edu,ca458f189c1167e42d3a5aaf81efc92a4c008976,citation,https://doi.org/10.1109/TIP.2012.2202678,Double Shrinking Sparse Dimension Reduction,2013
374,FERET,feret,35.14479945,33.90492318,Eastern Mediterranean University,edu,b20a8fc556aed9ab798fcf31e4f971dbc67a9edf,citation,http://pdfs.semanticscholar.org/b20a/8fc556aed9ab798fcf31e4f971dbc67a9edf.pdf,An Adept Segmentation Algorithm and Its Application to the Extraction of Local Regions Containing Fiducial Points,2006
375,FERET,feret,51.0784038,-114.1287077,University of Calgary,edu,80290f2a38741e20a38de7c00d80353604343ef8,citation,http://pdfs.semanticscholar.org/8029/0f2a38741e20a38de7c00d80353604343ef8.pdf,Eigenfeature Optimization for Face Detection,2004
376,FERET,feret,22.304572,114.17976285,Hong Kong Polytechnic University,edu,4a24d41aef0041ef82916d2316eea86f6c45c47f,citation,http://pdfs.semanticscholar.org/4a24/d41aef0041ef82916d2316eea86f6c45c47f.pdf,Impact of Full Rank Principal Component Analysis on Classification Algorithms for Face Recognition,2012
377,FERET,feret,45.7413921,126.62552755,Harbin Institute of Technology,edu,4a24d41aef0041ef82916d2316eea86f6c45c47f,citation,http://pdfs.semanticscholar.org/4a24/d41aef0041ef82916d2316eea86f6c45c47f.pdf,Impact of Full Rank Principal Component Analysis on Classification Algorithms for Face Recognition,2012
378,FERET,feret,22.6481521,88.376817,"Indian Statistical Institute, Kolkata",edu,7c7fb5c70bdabe8442c46c791fb2db00c490410b,citation,http://pdfs.semanticscholar.org/7c7f/b5c70bdabe8442c46c791fb2db00c490410b.pdf,Human Face Recognition using Gabor based Kernel Entropy Component Analysis,2012
379,FERET,feret,22.5611537,88.41310194,Jadavpur University,edu,7c7fb5c70bdabe8442c46c791fb2db00c490410b,citation,http://pdfs.semanticscholar.org/7c7f/b5c70bdabe8442c46c791fb2db00c490410b.pdf,Human Face Recognition using Gabor based Kernel Entropy Component Analysis,2012
380,FERET,feret,40.0044795,116.370238,Chinese Academy of Sciences,edu,19e62a56b6772bbd37dfc6b8f948e260dbb474f5,citation,http://pdfs.semanticscholar.org/19e6/2a56b6772bbd37dfc6b8f948e260dbb474f5.pdf,Cross-Domain Metric Learning Based on Information Theory,2014
381,FERET,feret,31.83907195,117.26420748,University of Science and Technology of China,edu,19e62a56b6772bbd37dfc6b8f948e260dbb474f5,citation,http://pdfs.semanticscholar.org/19e6/2a56b6772bbd37dfc6b8f948e260dbb474f5.pdf,Cross-Domain Metric Learning Based on Information Theory,2014
382,FERET,feret,40.00229045,116.32098908,Tsinghua University,edu,c1cf5dda56c72b65e86f3a678f76644f22212748,citation,http://pdfs.semanticscholar.org/c1cf/5dda56c72b65e86f3a678f76644f22212748.pdf,Face Hallucination via Semi-kernel Partial Least Squares,2015
383,FERET,feret,29.7207902,-95.34406271,University of Houston,edu,e69ac130e3c7267cce5e1e3d9508ff76eb0e0eef,citation,http://pdfs.semanticscholar.org/e69a/c130e3c7267cce5e1e3d9508ff76eb0e0eef.pdf,Addressing the illumination challenge in two-dimensional face recognition: a survey,2015
384,FERET,feret,42.3889785,-72.5286987,University of Massachusetts,edu,e39a66a6d1c5e753f8e6c33cd5d335f9bc9c07fa,citation,https://pdfs.semanticscholar.org/e39a/66a6d1c5e753f8e6c33cd5d335f9bc9c07fa.pdf,Weakly Supervised Learning for Unconstrained Face Processing,2014
385,FERET,feret,48.14955455,11.56775314,Technical University Munich,edu,bc9003ad368cb79d8a8ac2ad025718da5ea36bc4,citation,https://pdfs.semanticscholar.org/bc90/03ad368cb79d8a8ac2ad025718da5ea36bc4.pdf,Facial expression recognition with a three-dimensional face model,2011
386,FERET,feret,50.89273635,-1.39464295,University of Southampton,edu,d6b0a1f6dfb995436b45045b56e966d8e57b0990,citation,https://pdfs.semanticscholar.org/d6b0/a1f6dfb995436b45045b56e966d8e57b0990.pdf,Gait analysis and recognition for automated visual surveillance,2008
387,FERET,feret,22.3874201,114.2082222,Hong Kong Baptist University,edu,02ae77f4c289426f18e83ce6e295d39538fb0fcc,citation,http://pdfs.semanticscholar.org/02ae/77f4c289426f18e83ce6e295d39538fb0fcc.pdf,Dependency Modeling for Information Fusion with Applications in Visual Recognition,2013
388,FERET,feret,23.883312,90.2693921,Jahangirnagar University,edu,078549cb5474b024d203f96954646cacef219682,citation,http://pdfs.semanticscholar.org/1b42/0d5cf66e60b540ecdb352a287c85d9d7e2a4.pdf,"Single Image Face Recognition based on Gabor, Sobel and Local Ternary Pattern",2015
389,FERET,feret,39.9601488,116.35193921,Beijing University of Posts and Telecommunications,edu,3dfb822e16328e0f98a47209d7ecd242e4211f82,citation,https://arxiv.org/pdf/1708.08197.pdf,Cross-Age LFW: A Database for Studying Cross-Age Face Recognition in Unconstrained Environments,2017
390,FERET,feret,37.4102193,-122.05965487,Carnegie Mellon University,edu,1320c42b348c5342c2ad6a60e3ded3ff0bd56f7f,citation,https://doi.org/10.1007/s11263-007-0119-z,"A Viewpoint Invariant, Sparsely Registered, Patch Based, Face Verifier",2007
391,FERET,feret,37.50882,126.9619,Chung-Ang University,edu,17cf6195fd2dfa42670dc7ada476e67b381b8f69,citation,http://pdfs.semanticscholar.org/17cf/6195fd2dfa42670dc7ada476e67b381b8f69.pdf,Automatic Face Region Tracking for Highly Accurate Face Recognition in Unconstrained Environments,2003
392,FERET,feret,37.403917,127.159786,Korea Electronics Technology Institute,edu,17cf6195fd2dfa42670dc7ada476e67b381b8f69,citation,http://pdfs.semanticscholar.org/17cf/6195fd2dfa42670dc7ada476e67b381b8f69.pdf,Automatic Face Region Tracking for Highly Accurate Face Recognition in Unconstrained Environments,2003
393,FERET,feret,35.9542493,-83.9307395,University of Tennessee,edu,17cf6195fd2dfa42670dc7ada476e67b381b8f69,citation,http://pdfs.semanticscholar.org/17cf/6195fd2dfa42670dc7ada476e67b381b8f69.pdf,Automatic Face Region Tracking for Highly Accurate Face Recognition in Unconstrained Environments,2003
394,FERET,feret,39.94976005,116.33629046,Beijing Jiaotong University,edu,b5930275813a7e7a1510035a58dd7ba7612943bc,citation,http://pdfs.semanticscholar.org/b593/0275813a7e7a1510035a58dd7ba7612943bc.pdf,Face Recognition Using L-Fisherfaces,2010
395,FERET,feret,25.0410728,121.6147562,Institute of Information Science,edu,b5930275813a7e7a1510035a58dd7ba7612943bc,citation,http://pdfs.semanticscholar.org/b593/0275813a7e7a1510035a58dd7ba7612943bc.pdf,Face Recognition Using L-Fisherfaces,2010
396,FERET,feret,36.00146435,120.11624057,Shandong University of Science and Technology,edu,b5930275813a7e7a1510035a58dd7ba7612943bc,citation,http://pdfs.semanticscholar.org/b593/0275813a7e7a1510035a58dd7ba7612943bc.pdf,Face Recognition Using L-Fisherfaces,2010
397,FERET,feret,44.9689836,-93.20941629,Fraser University,edu,281cc188bf7588681cdf8e325b0ed13ac927e2e6,citation,https://pdfs.semanticscholar.org/281c/c188bf7588681cdf8e325b0ed13ac927e2e6.pdf,A Multi-Modal Person Recognition System for Social Robots,2018
398,FERET,feret,40.00229045,116.32098908,Tsinghua University,edu,89ac06ccbc410224f4d05d5ae8fa46c4fe3cbe0f,citation,http://pdfs.semanticscholar.org/947e/53c1d9035df85a3bc1b852928acbe889daf4.pdf,Video Based Face Verification,2001
399,FERET,feret,1.3484104,103.68297965,Nanyang Technological University,edu,72b4b8f4a9f25cac5686231b44a2220945fd2ff6,citation,http://pdfs.semanticscholar.org/72b4/b8f4a9f25cac5686231b44a2220945fd2ff6.pdf,Face Verification Using Modeled Eigenspectrum,2008
400,FERET,feret,25.01682835,121.53846924,National Taiwan University,edu,95289007f2f336e6636cf8f920225b8d47c6e94f,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6472796,Automatic Training Image Acquisition and Effective Feature Selection From Community-Contributed Photos for Facial Attribute Detection,2013
401,FERET,feret,25.0411727,121.6146518,"Academia Sinica, Taiwan",edu,95289007f2f336e6636cf8f920225b8d47c6e94f,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6472796,Automatic Training Image Acquisition and Effective Feature Selection From Community-Contributed Photos for Facial Attribute Detection,2013
402,FERET,feret,51.24303255,-0.59001382,University of Surrey,edu,749ebfa344b6d27de898d619cea0b28ad3894ff2,citation,http://pdfs.semanticscholar.org/749e/bfa344b6d27de898d619cea0b28ad3894ff2.pdf,Predicting Biometric Authentication System Performance Across Different Application Conditions: A Bootstrap Enhanced Parametric Approach,2007
403,FERET,feret,52.9387428,-1.20029569,University of Nottingham,edu,e3bb87e858bc752436c7a8da3fca68b2dacbf3e8,citation,https://pdfs.semanticscholar.org/e3bb/87e858bc752436c7a8da3fca68b2dacbf3e8.pdf,On the Evaluation of Methods for the Recovery of Plant Root Systems from X-ray Computed Tomography Images,2015
404,FERET,feret,45.42580475,-75.68740118,University of Ottawa,edu,a94cae786d515d3450d48267e12ca954aab791c4,citation,http://www.site.uottawa.ca/~shervin/pubs/CogniVue-Dataset-ACM-MMSys2014.pdf,YawDD: a yawning detection dataset,2014
405,FERET,feret,34.7361066,10.7427275,"University of Sfax, Tunisia",edu,8a3bb63925ac2cdf7f9ecf43f71d65e210416e17,citation,https://www.math.uh.edu/~dlabate/ShearFace_ICPR2014.pdf,ShearFace: Efficient Extraction of Anisotropic Features for Face Recognition,2014
406,FERET,feret,16.46007565,102.81211798,Khon Kaen University,edu,31dd6bafd6e7c6095eb8d0591abac3b0106a75e3,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8457336,Face Recognition In Unconstrained Environment,2018
407,FERET,feret,51.24303255,-0.59001382,University of Surrey,edu,beea33ccd9423d48d6cfb928469bbe7841e63e73,citation,http://pdfs.semanticscholar.org/beea/33ccd9423d48d6cfb928469bbe7841e63e73.pdf,DIARETDB1 diabetic retinopathy database and evaluation protocol,2007
408,FERET,feret,22.3386304,114.2620337,Hong Kong University of Science and Technology,edu,4cf0c6d3da8e20d6f184a4eaa6865d61680982b8,citation,http://pdfs.semanticscholar.org/4cf0/c6d3da8e20d6f184a4eaa6865d61680982b8.pdf,Face recognition based on 3D mesh model,2004
409,FERET,feret,-33.95828745,18.45997349,University of Cape Town,edu,ba6082291b018b14f8da4f96afc631918bad3a1b,citation,https://pdfs.semanticscholar.org/3f5b/0cf2ed392045026ea0d1d67145d0400e516f.pdf,"Calibration , Recognition , and Shape from Silhouettes of Stones",2007
410,FERET,feret,39.1254938,-77.22293475,National Institute of Standards and Technology,edu,b1e218046a28d10ec0be3272809608dea378eddc,citation,https://pdfs.semanticscholar.org/12c5/66e2eee7bbaf45b894e7282f87f00f1db20a.pdf,Overview of the Multiple Biometrics Grand Challenge,2009
411,FERET,feret,39.9922379,116.30393816,Peking University,edu,15122ef718265beb4cb1a74e5d1f41c5edcb4ba5,citation,http://doi.ieeecomputersociety.org/10.1109/TPAMI.2005.165,On the Euclidean distance of images,2005
412,FERET,feret,47.00646895,-120.5367304,Central Washington University,edu,9d6e60d49e92361f8f558013065dfa67043dd337,citation,https://pdfs.semanticscholar.org/9d6e/60d49e92361f8f558013065dfa67043dd337.pdf,Applications of Computational Geometry and Computer Vision,2016
413,FERET,feret,22.3874201,114.2082222,Hong Kong Baptist University,edu,121839d3254820b7017b07ef47acc89b975286a9,citation,https://pdfs.semanticscholar.org/92a2/5b281f1637d125cefefcbfc382f48f456f4c.pdf,Feature Extraction for Incomplete Data via Low-rank Tucker Decomposition,2017
414,FERET,feret,23.1353836,113.29470496,Guangdong University of Technology,edu,121839d3254820b7017b07ef47acc89b975286a9,citation,https://pdfs.semanticscholar.org/92a2/5b281f1637d125cefefcbfc382f48f456f4c.pdf,Feature Extraction for Incomplete Data via Low-rank Tucker Decomposition,2017
415,FERET,feret,35.704514,51.40972058,Amirkabir University of Technology,edu,88ed558bff3600f5354963d1abe762309f66111e,citation,https://doi.org/10.1109/TIFS.2015.2393553,Real-World and Rapid Face Recognition Toward Pose and Expression Variations via Feature Library Matrix,2015
416,FERET,feret,35.6037444,53.43445877,Semnan University,edu,88ed558bff3600f5354963d1abe762309f66111e,citation,https://doi.org/10.1109/TIFS.2015.2393553,Real-World and Rapid Face Recognition Toward Pose and Expression Variations via Feature Library Matrix,2015
417,FERET,feret,45.7413921,126.62552755,Harbin Institute of Technology,edu,016a8ed8f6ba49bc669dbd44de4ff31a79963078,citation,https://doi.org/10.1109/ICASSP.2004.1327215,Face relighting for face recognition under generic illumination,2004
418,FERET,feret,23.09461185,113.28788994,Sun Yat-Sen University,edu,44f48a4b1ef94a9104d063e53bf88a69ff0f55f3,citation,http://pdfs.semanticscholar.org/44f4/8a4b1ef94a9104d063e53bf88a69ff0f55f3.pdf,Automatically Building Face Datasets of New Domains from Weakly Labeled Data with Pretrained Models,2016
419,FERET,feret,45.7413921,126.62552755,Harbin Institute of Technology,edu,2fd007088a75916d0bf50c493d94f950bf55c5e6,citation,https://doi.org/10.1007/978-981-10-7302-1_1,Projective Representation Learning for Discriminative Face Recognition,2017
420,FERET,feret,43.66333345,-79.39769975,University of Toronto,edu,0cb613bf519b90d08d2f12623b41f02c638cea63,citation,http://koasas.kaist.ac.kr/bitstream/10203/22675/1/Face%20Annotation%20for%20Personal%20Photos%20Using%20Context%20Assisted%20Face%20Recognition.pdf,Face annotation for personal photos using context-assisted face recognition,2008
421,FERET,feret,24.7925484,120.9951183,National Tsing Hua University,edu,30b6811205b42e92d7a82c606d4521319764250b,citation,https://doi.org/10.1109/APSIPA.2013.6694367,Low cost illumination invariant face recognition by down-up sampling self quotient image,2013
422,FERET,feret,50.0764296,14.41802312,Czech Technical University,edu,ff69da3510f5ffed224069faf62036e1aa9b6d26,citation,https://pdfs.semanticscholar.org/a256/3501ffd5a840fa4df0f3911a82e117df2f7f.pdf,Extended Set of Local Binary Patterns for Rapid Object Detection,2010
423,FERET,feret,32.0575279,118.78682252,Southeast University,edu,c207fd762728f3da4cddcfcf8bf19669809ab284,citation,http://pdfs.semanticscholar.org/c207/fd762728f3da4cddcfcf8bf19669809ab284.pdf,Face Alignment Using Boosting and Evolutionary Search,2009
424,FERET,feret,52.2380139,6.8566761,University of Twente,edu,c207fd762728f3da4cddcfcf8bf19669809ab284,citation,http://pdfs.semanticscholar.org/c207/fd762728f3da4cddcfcf8bf19669809ab284.pdf,Face Alignment Using Boosting and Evolutionary Search,2009
425,FERET,feret,51.49887085,-0.17560797,Imperial College London,edu,23a450a075d752f1ec2b1e5e225de13d3bc37636,citation,http://pdfs.semanticscholar.org/23a4/50a075d752f1ec2b1e5e225de13d3bc37636.pdf,Subspace Learning in Krein Spaces: Complete Kernel Fisher Discriminant Analysis with Indefinite Kernels,2012
426,FERET,feret,37.4102193,-122.05965487,Carnegie Mellon University,edu,521c2e9892eb22f65ba5b0d4c8d2f4c096d9fdf3,citation,http://www.ri.cmu.edu/pub_files/pub4/gross_ralph_2006_2/gross_ralph_2006_2.pdf,Model-Based Face De-Identification,2006
427,FERET,feret,13.65450525,100.49423171,Robotics Institute,edu,521c2e9892eb22f65ba5b0d4c8d2f4c096d9fdf3,citation,http://www.ri.cmu.edu/pub_files/pub4/gross_ralph_2006_2/gross_ralph_2006_2.pdf,Model-Based Face De-Identification,2006
428,FERET,feret,25.01682835,121.53846924,National Taiwan University,edu,91e507d2d8375bf474f6ffa87788aa3e742333ce,citation,http://pdfs.semanticscholar.org/91e5/07d2d8375bf474f6ffa87788aa3e742333ce.pdf,Robust Face Recognition Using Probabilistic Facial Trait Code,2010
429,FERET,feret,39.2899685,-76.62196103,University of Maryland,edu,744b794f0047b008c517752fc9bb1100e5f120cc,citation,http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1333736,Multiple-exemplar discriminant analysis for face recognition,2004
430,FERET,feret,40.0044795,116.370238,Chinese Academy of Sciences,edu,44d93039eec244083ac7c46577b9446b3a071f3e,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1415571,Empirical comparisons of several preprocessing methods for illumination insensitive face recognition,2005
431,FERET,feret,39.1254938,-77.22293475,National Institute of Standards and Technology,edu,2d435b7510eeda648dc34d5b8ac921499d525218,citation,http://doi.ieeecomputersociety.org/10.1109/CVPR.2007.383395,Improving Variance Estimation in Biometric Systems,2007
432,FERET,feret,38.8964679,-104.8050594,University of Colorado at Colorado Springs,edu,2d435b7510eeda648dc34d5b8ac921499d525218,citation,http://doi.ieeecomputersociety.org/10.1109/CVPR.2007.383395,Improving Variance Estimation in Biometric Systems,2007
433,FERET,feret,42.718568,-84.47791571,Michigan State University,edu,ab7bcbaa9e77d35634302b021d47e7889628a88d,citation,http://pdfs.semanticscholar.org/ab7b/cbaa9e77d35634302b021d47e7889628a88d.pdf,FACESKETCHID: A SYSTEM FOR FACIAL SKETCH TO MUGSHOT MATCHING by Scott,2014
434,FERET,feret,45.7413921,126.62552755,Harbin Institute of Technology,edu,92017bf2df5f6532d39c624ea209f37bb6728097,citation,http://pdfs.semanticscholar.org/9201/7bf2df5f6532d39c624ea209f37bb6728097.pdf,"Attention Driven Face Recognition, Learning from Human Vision System",2011
435,FERET,feret,40.0044795,116.370238,Chinese Academy of Sciences,edu,92017bf2df5f6532d39c624ea209f37bb6728097,citation,http://pdfs.semanticscholar.org/9201/7bf2df5f6532d39c624ea209f37bb6728097.pdf,"Attention Driven Face Recognition, Learning from Human Vision System",2011
436,FERET,feret,39.9922379,116.30393816,Peking University,edu,92017bf2df5f6532d39c624ea209f37bb6728097,citation,http://pdfs.semanticscholar.org/9201/7bf2df5f6532d39c624ea209f37bb6728097.pdf,"Attention Driven Face Recognition, Learning from Human Vision System",2011
437,FERET,feret,35.704514,51.40972058,Amirkabir University of Technology,edu,841bf196ee0086c805bd5d1d0bddfadc87e424ec,citation,http://pdfs.semanticscholar.org/841b/f196ee0086c805bd5d1d0bddfadc87e424ec.pdf,Locally Kernel-based Nonlinear Regression for Face Recognition,2012
438,FERET,feret,34.8452999,48.5596212,Islamic Azad University,edu,841bf196ee0086c805bd5d1d0bddfadc87e424ec,citation,http://pdfs.semanticscholar.org/841b/f196ee0086c805bd5d1d0bddfadc87e424ec.pdf,Locally Kernel-based Nonlinear Regression for Face Recognition,2012
439,FERET,feret,55.87231535,-4.28921784,University of Glasgow,edu,40055c342c19ab492df04dae2e186cd0d6b5dc5e,citation,http://pdfs.semanticscholar.org/a406/ad4bdf50f696191e7472b7a41d9d57ff046c.pdf,Robust representations for face recognition: the power of averages.,2005
440,FERET,feret,1.2988926,103.7873107,"A*STAR, Singapore",edu,c444c4dab97dd6d6696f56c1cacda051dde60448,citation,http://doi.ieeecomputersociety.org/10.1109/TPAMI.2013.37,Multiview Face Detection and Registration Requiring Minimal Manual Intervention,2013
441,FERET,feret,1.3484104,103.68297965,Nanyang Technological University,edu,c444c4dab97dd6d6696f56c1cacda051dde60448,citation,http://doi.ieeecomputersociety.org/10.1109/TPAMI.2013.37,Multiview Face Detection and Registration Requiring Minimal Manual Intervention,2013
442,FERET,feret,32.8785349,-117.2358307,"Tijuana Institute of Technology, Mexico",edu,235bebe7d0db37e6727dfa1246663be34027d96b,citation,https://doi.org/10.1109/NAFIPS.2016.7851625,General Type-2 fuzzy edge detectors applied to face recognition systems,2016
443,FERET,feret,32.0565957,118.77408833,Nanjing University,edu,65b1760d9b1541241c6c0222cc4ee9df078b593a,citation,http://pdfs.semanticscholar.org/65b1/760d9b1541241c6c0222cc4ee9df078b593a.pdf,Enhanced Pictorial Structures for Precise Eye Localization Under Uncontrolled Conditions,2009
444,FERET,feret,40.0044795,116.370238,Chinese Academy of Sciences,edu,27b9e75bcaf9e12127f7181bcb7f1fcb105462c4,citation,http://www.cbsr.ia.ac.cn/users/zlei/papers/LEI-LFD-FG-11.pdf,Local frequency descriptor for low-resolution face recognition,2011
445,FERET,feret,65.0592157,25.46632601,University of Oulu,edu,27b9e75bcaf9e12127f7181bcb7f1fcb105462c4,citation,http://www.cbsr.ia.ac.cn/users/zlei/papers/LEI-LFD-FG-11.pdf,Local frequency descriptor for low-resolution face recognition,2011
446,FERET,feret,44.97308605,-93.23708813,University of Minnesota,edu,aecd24f4a41eb6942375b9c03adcb7e137250b3f,citation,http://pdfs.semanticscholar.org/aecd/24f4a41eb6942375b9c03adcb7e137250b3f.pdf,Tensor Sparse Coding for Region Covariances,2010
447,FERET,feret,40.0044795,116.370238,Chinese Academy of Sciences,edu,179f446aa297d6fe5c864b605286b946f85bb4ee,citation,http://lear.inrialpes.fr/people/triggs/events/iccv03/cdrom/iccv03/1449_wang.pdf,Fusion of static and dynamic body biometrics for gait recognition,2003
448,FERET,feret,39.2899685,-76.62196103,University of Maryland,edu,3d741315108b95cdb56d312648f5ad1c002c9718,citation,http://pdfs.semanticscholar.org/3d74/1315108b95cdb56d312648f5ad1c002c9718.pdf,Image-based face recognition under illumination and pose variations.,2005
449,FERET,feret,31.30104395,121.50045497,Fudan University,edu,8ca3cfb9595ebc5b36a25659f6bbf362f0b14ae3,citation,http://pdfs.semanticscholar.org/8ca3/cfb9595ebc5b36a25659f6bbf362f0b14ae3.pdf,Spectral Clustering Based Null Space Linear Discriminant Analysis (SNLDA),2007
450,FERET,feret,39.94976005,116.33629046,Beijing Jiaotong University,edu,8ca3cfb9595ebc5b36a25659f6bbf362f0b14ae3,citation,http://pdfs.semanticscholar.org/8ca3/cfb9595ebc5b36a25659f6bbf362f0b14ae3.pdf,Spectral Clustering Based Null Space Linear Discriminant Analysis (SNLDA),2007
451,FERET,feret,34.8452999,48.5596212,Islamic Azad University,edu,908a899c716d63bd327dee4a72061db5674bdc92,citation,http://pdfs.semanticscholar.org/908a/899c716d63bd327dee4a72061db5674bdc92.pdf,Experiments with Face Recognition Using a Novel Approach Based on CVQ Technique,2012
452,FERET,feret,22.304572,114.17976285,Hong Kong Polytechnic University,edu,9f5383ec6ee5e810679e4a7e0a3f153f0ed3bb73,citation,http://pdfs.semanticscholar.org/9f53/83ec6ee5e810679e4a7e0a3f153f0ed3bb73.pdf,3D Shape and Pose Estimation of Face Images Using the Nonlinear Least-Squares Model,2010
453,FERET,feret,40.0044795,116.370238,Chinese Academy of Sciences,edu,9f5383ec6ee5e810679e4a7e0a3f153f0ed3bb73,citation,http://pdfs.semanticscholar.org/9f53/83ec6ee5e810679e4a7e0a3f153f0ed3bb73.pdf,3D Shape and Pose Estimation of Face Images Using the Nonlinear Least-Squares Model,2010
454,FERET,feret,37.4102193,-122.05965487,Carnegie Mellon University,edu,07c90e85ac0f74b977babe245dea0f0abcf177e3,citation,http://pdfs.semanticscholar.org/07c9/0e85ac0f74b977babe245dea0f0abcf177e3.pdf,An Image Preprocessing Algorithm for Illumination Invariant Face Recognition,2003
455,FERET,feret,40.0044795,116.370238,Chinese Academy of Sciences,edu,0faab61c742609be74463d30b0eb1118dba4a4f3,citation,http://pdfs.semanticscholar.org/0faa/b61c742609be74463d30b0eb1118dba4a4f3.pdf,Null Space Approach of Fisher Discriminant Analysis for Face Recognition,2004
456,FERET,feret,24.7246403,46.62335012,King Saud University,edu,1319dbeaa28f8a9b19e03a7631e96393e08a07fa,citation,http://pdfs.semanticscholar.org/1319/dbeaa28f8a9b19e03a7631e96393e08a07fa.pdf,Gender Recognition Using Fusion of Local and Global Facial Features,2013
457,FERET,feret,25.7173339,-80.27866887,University of Miami,edu,48381007b85e8a3b74e5401b2dfc1a5dfc897622,citation,http://pdfs.semanticscholar.org/4838/1007b85e8a3b74e5401b2dfc1a5dfc897622.pdf,Sparse Representation and Dictionary Learning for Biometrics and Object Tracking,2015
458,FERET,feret,33.776033,-84.39884086,Georgia Institute of Technology,edu,852e7df8794b15413f1d71628939c3cc28580b12,citation,http://pdfs.semanticscholar.org/852e/7df8794b15413f1d71628939c3cc28580b12.pdf,Boosted Audio-Visual HMM for Speech Reading,2003
459,FERET,feret,13.65450525,100.49423171,Robotics Institute,edu,c5c1575565e04cd0afc57d7ac7f7a154c573b38f,citation,https://pdfs.semanticscholar.org/010a/f49ddb10c51b7913c2533910dd28ca39411c.pdf,Face Refinement through a Gradient Descent Alignment Approach,2006
460,FERET,feret,40.0044795,116.370238,Chinese Academy of Sciences,edu,da7bbfa905d88834f8929cb69f41a1b683639f4b,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6199752,Discriminant analysis with Gabor phase for robust face recognition,2012
461,FERET,feret,32.05765485,118.7550004,HoHai University,edu,da7bbfa905d88834f8929cb69f41a1b683639f4b,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6199752,Discriminant analysis with Gabor phase for robust face recognition,2012
462,FERET,feret,34.1235825,108.83546,Xidian University,edu,da7bbfa905d88834f8929cb69f41a1b683639f4b,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6199752,Discriminant analysis with Gabor phase for robust face recognition,2012
463,FERET,feret,40.5709358,-105.08655256,Colorado State University,edu,546cbbb897022096511f6a71259e3b99c558224d,citation,http://pdfs.semanticscholar.org/8a17/e16de6b932ec42e269621e29d99e46591fef.pdf,PCA vs. ICA: A Comparison on the FERET Data Set,2002
464,FERET,feret,24.7925484,120.9951183,National Tsing Hua University,edu,6e7afe55d363adf80330116968163c7e9500f53b,citation,http://www.cs.nthu.edu.tw/~cchen/Research/2007EitFace.pdf,SVD-based projection for face recognition,2007
465,FERET,feret,22.53521465,113.9315911,Shenzhen University,edu,2a9946fb626a58d376fb1491ca8bf8fb4f68dcf9,citation,http://pdfs.semanticscholar.org/2a99/46fb626a58d376fb1491ca8bf8fb4f68dcf9.pdf,Enlarge the Training Set Based on Inter-Class Relationship for Face Recognition from One Image per Person,2013
466,FERET,feret,34.0224149,-118.28634407,University of Southern California,edu,38c61c11554135e09a2353afa536d010c7a53cbb,citation,http://pdfs.semanticscholar.org/38c6/1c11554135e09a2353afa536d010c7a53cbb.pdf,Learning the Detection of Faces in Natural Images,2002
467,FERET,feret,55.70229715,37.53179777,Lomonosov Moscow State University,edu,6bfb0f8dd1a2c0b44347f09006dc991b8a08559c,citation,https://www.computer.org/web/csdl/index/-/csdl/proceedings/fg/2013/5545/00/06553724.pdf,Multiview discriminative learning for age-invariant face recognition,2013
468,FERET,feret,1.3037257,103.7737763,"Advanced Digital Sciences Center, Singapore",edu,6bfb0f8dd1a2c0b44347f09006dc991b8a08559c,citation,https://www.computer.org/web/csdl/index/-/csdl/proceedings/fg/2013/5545/00/06553724.pdf,Multiview discriminative learning for age-invariant face recognition,2013
469,FERET,feret,1.3484104,103.68297965,Nanyang Technological University,edu,6bfb0f8dd1a2c0b44347f09006dc991b8a08559c,citation,https://www.computer.org/web/csdl/index/-/csdl/proceedings/fg/2013/5545/00/06553724.pdf,Multiview discriminative learning for age-invariant face recognition,2013
470,FERET,feret,40.11116745,-88.22587665,"University of Illinois, Urbana-Champaign",edu,6bfb0f8dd1a2c0b44347f09006dc991b8a08559c,citation,https://www.computer.org/web/csdl/index/-/csdl/proceedings/fg/2013/5545/00/06553724.pdf,Multiview discriminative learning for age-invariant face recognition,2013
471,FERET,feret,40.0044795,116.370238,Chinese Academy of Sciences,edu,d33b26794ea6d744bba7110d2d4365b752d7246f,citation,http://pdfs.semanticscholar.org/d33b/26794ea6d744bba7110d2d4365b752d7246f.pdf,Transfer Feature Representation via Multiple Kernel Learning,2015
472,FERET,feret,51.2975344,1.07296165,University of Kent,edu,55f94957f753e74f6f0170a45dee746c5b013edb,citation,http://pdfs.semanticscholar.org/55f9/4957f753e74f6f0170a45dee746c5b013edb.pdf,Face Recognition Using Balanced Pairwise Classifier Training,2009
473,FERET,feret,60.18558755,24.8242733,Aalto University,edu,6dbe76f51091ca6a626a62846a946ce687c3dbe8,citation,http://pdfs.semanticscholar.org/6dbe/76f51091ca6a626a62846a946ce687c3dbe8.pdf,INCREMENTAL OBJECT MATCHING WITH PROBABILISTIC METHODS Doctoral dissertation,0
474,FERET,feret,43.614386,7.071125,EURECOM,edu,314ad104401c78a83cfe8018412b6a2f33340fc6,citation,http://www.eurecom.fr/fr/publication/4966/download/sec-publi-4966.pdf,"Privacy protecting, intelligibility preserving video surveillance",2016
475,FERET,feret,42.718568,-84.47791571,Michigan State University,edu,08f6ad0a3e75b715852f825d12b6f28883f5ca05,citation,http://www.cse.msu.edu/biometrics/Publications/Face/JainKlarePark_FaceRecognition_ChallengesinForensics_FG11.pdf,Face recognition: Some challenges in forensics,2011
476,FERET,feret,-33.8809651,151.20107299,University of Technology Sydney,edu,3b64efa817fd609d525c7244a0e00f98feacc8b4,citation,http://doi.acm.org/10.1145/2845089,A Comprehensive Survey on Pose-Invariant Face Recognition,2016
477,FERET,feret,-35.2776999,149.118527,Australian National University,edu,102cfd088799405d47c824735dc1356e5835dce7,citation,http://pdfs.semanticscholar.org/d5d0/d25663ec0ff8099e613d2278f8a673b9729f.pdf,Learning-based Face Synthesis for Pose-Robust Recognition from Single Image,2009
478,FERET,feret,-35.23656905,149.08446994,University of Canberra,edu,102cfd088799405d47c824735dc1356e5835dce7,citation,http://pdfs.semanticscholar.org/d5d0/d25663ec0ff8099e613d2278f8a673b9729f.pdf,Learning-based Face Synthesis for Pose-Robust Recognition from Single Image,2009
479,FERET,feret,25.00823205,121.53577153,National Taiwan Normal University,edu,fb6cc23fd6bd43bd4cacf6a57cd2c7c8dfe5269d,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5339084,An experimental study on content-based face annotation of photos,2009
480,FERET,feret,28.59899755,-81.19712501,University of Central Florida,edu,2910fcd11fafee3f9339387929221f4fc1160973,citation,http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2013/W16/papers/Becker_Evaluating_Open-Universe_Face_2013_CVPR_paper.pdf,Evaluating Open-Universe Face Identification on the Web,2013
481,FERET,feret,13.65450525,100.49423171,Robotics Institute,edu,2910fcd11fafee3f9339387929221f4fc1160973,citation,http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2013/W16/papers/Becker_Evaluating_Open-Universe_Face_2013_CVPR_paper.pdf,Evaluating Open-Universe Face Identification on the Web,2013
482,FERET,feret,22.304572,114.17976285,Hong Kong Polytechnic University,edu,e0ea8ef91bd0a35aec31c9a493137163b4f042b6,citation,http://pdfs.semanticscholar.org/e0ea/8ef91bd0a35aec31c9a493137163b4f042b6.pdf,Sparse representation with nearest subspaces for face recognition,2012
483,FERET,feret,22.53521465,113.9315911,Shenzhen University,edu,e0ea8ef91bd0a35aec31c9a493137163b4f042b6,citation,http://pdfs.semanticscholar.org/e0ea/8ef91bd0a35aec31c9a493137163b4f042b6.pdf,Sparse representation with nearest subspaces for face recognition,2012
484,FERET,feret,34.80809035,135.45785218,Osaka University,edu,29639a071f67a6867000b53bcb97b37b3d090319,citation,http://pdfs.semanticscholar.org/2963/9a071f67a6867000b53bcb97b37b3d090319.pdf,Gait Identification Considering Body Tilt by Walking Direction Changes,2008
485,FERET,feret,-22.8148374,-47.0647708,University of Campinas (UNICAMP),edu,b161d261fabb507803a9e5834571d56a3b87d147,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8122913,Gender recognition from face images using a geometric descriptor,2017
486,FERET,feret,28.54632595,77.27325504,Indian Institute of Technology Delhi,edu,5539c0bee8fcf825e63a1abaa950615ebd9c6b49,citation,http://pdfs.semanticscholar.org/5539/c0bee8fcf825e63a1abaa950615ebd9c6b49.pdf,Car Detection and Recognition Based on Rear View and Back Light Features,2014
487,FERET,feret,37.4102193,-122.05965487,Carnegie Mellon University,edu,691463f3f7acb0502e21b40958c1ecdee16d1fe0,citation,http://pdfs.semanticscholar.org/eb46/25ad9143196021c3def560d025d346c46909.pdf,Adaptive Markov Random Fields for Example-Based Super-resolution of Faces,2006
488,FERET,feret,51.5231607,-0.1282037,University College London,edu,0a2ddf88bd1a6c093aad87a8c7f4150bfcf27112,citation,http://pdfs.semanticscholar.org/0a2d/df88bd1a6c093aad87a8c7f4150bfcf27112.pdf,Patch-based models for visual object classes,2011
489,FERET,feret,45.7413921,126.62552755,Harbin Institute of Technology,edu,82d5e927c4f1429c07552bfc7bebd5f0e3f2f444,citation,http://pdfs.semanticscholar.org/82d5/e927c4f1429c07552bfc7bebd5f0e3f2f444.pdf,Histogram Sequence of Local Gabor Binary Pattern for Face Description and Identification,2006
490,FERET,feret,41.10427915,29.02231159,Istanbul Technical University,edu,e9a8a88b47d0bc20579f39eba1c380b07edc244f,citation,https://pdfs.semanticscholar.org/e9a8/a88b47d0bc20579f39eba1c380b07edc244f.pdf,Effects of the Facial and Racial Features on Gender Classification,2010
491,FERET,feret,35.3341487,139.4943356,"Azbil Corporation, Kawana, Japan",company,982fcead58be419e4f34df6e806204674a4bc579,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6613012,Performance improvement of face recognition algorithms using occluded-region detection,2013
492,FERET,feret,38.2530945,140.8736593,Tohoku University,edu,982fcead58be419e4f34df6e806204674a4bc579,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6613012,Performance improvement of face recognition algorithms using occluded-region detection,2013
493,FERET,feret,34.1235825,108.83546,Xidian University,edu,61f4429c085e8a93c4d7bdb9bff6fac38e58e5c6,citation,http://pdfs.semanticscholar.org/61f4/429c085e8a93c4d7bdb9bff6fac38e58e5c6.pdf,Discriminant Neighborhood Structure Embedding Using Trace Ratio Criterion for Image Recognition,2015
494,FERET,feret,22.42031295,114.20788644,Chinese University of Hong Kong,edu,ec645bbc34d3ed264516df8b1add4d0cd6c35631,citation,http://pdfs.semanticscholar.org/ec64/5bbc34d3ed264516df8b1add4d0cd6c35631.pdf,An improved Bayesian face recognition algorithm in PCA subspace,2003
495,FERET,feret,23.09461185,113.28788994,Sun Yat-Sen University,edu,3356074f4896bf2af7f46749fdc212a99d4932a6,citation,http://pdfs.semanticscholar.org/3356/074f4896bf2af7f46749fdc212a99d4932a6.pdf,Learning Low-Rank Class-Specific Dictionary and Sparse Intra-Class Variant Dictionary for Face Recognition,2015
496,FERET,feret,30.2931534,120.1620458,Zhejiang University of Technology,edu,3356074f4896bf2af7f46749fdc212a99d4932a6,citation,http://pdfs.semanticscholar.org/3356/074f4896bf2af7f46749fdc212a99d4932a6.pdf,Learning Low-Rank Class-Specific Dictionary and Sparse Intra-Class Variant Dictionary for Face Recognition,2015
497,FERET,feret,13.65450525,100.49423171,Robotics Institute,edu,7f1f3d7b1a4e7fc895b77cb23b1119a6f13e4d3a,citation,http://pdfs.semanticscholar.org/7f1f/3d7b1a4e7fc895b77cb23b1119a6f13e4d3a.pdf,Multi-subregion based probabilistic approach toward pose-invariant face recognition,2003
498,FERET,feret,35.907757,127.766922,Mando Corp.,company,1ab19e516b318ed6ab64822efe9b2328836107a4,citation,https://doi.org/10.1109/TIP.2010.2083674,Face Recognition System Using Multiple Face Model of Hybrid Fourier Feature Under Uncontrolled Illumination Variation,2011
499,FERET,feret,37.566535,126.9779692,Samsung,company,1ab19e516b318ed6ab64822efe9b2328836107a4,citation,https://doi.org/10.1109/TIP.2010.2083674,Face Recognition System Using Multiple Face Model of Hybrid Fourier Feature Under Uncontrolled Illumination Variation,2011
500,FERET,feret,39.9041999,116.4073963,"Samsung SAIT, Beijing",company,1ab19e516b318ed6ab64822efe9b2328836107a4,citation,https://doi.org/10.1109/TIP.2010.2083674,Face Recognition System Using Multiple Face Model of Hybrid Fourier Feature Under Uncontrolled Illumination Variation,2011
501,FERET,feret,42.718568,-84.47791571,Michigan State University,edu,e506cdb250eba5e70c5147eb477fbd069714765b,citation,https://pdfs.semanticscholar.org/e506/cdb250eba5e70c5147eb477fbd069714765b.pdf,Heterogeneous Face Recognition,2012
502,FERET,feret,34.80809035,135.45785218,Osaka University,edu,97dbcc592ed048db545c6e9ed1f27372e8d1d4b8,citation,http://pdfs.semanticscholar.org/97db/cc592ed048db545c6e9ed1f27372e8d1d4b8.pdf,Omnidirectional Gait Identification by Tilt Normalization and Azimuth View Transformation,2008
503,FERET,feret,42.8298248,-73.87719385,GE Global Research Center,edu,50b40ec042047b4292fd9b650969d4efbd20c9ed,citation,http://cse.msu.edu/~liuxm/publication/Liu_GradientPursuit_FG2011.pdf,Optimal gradient pursuit for face alignment,2011
504,FERET,feret,23.09461185,113.28788994,Sun Yat-Sen University,edu,7b47eb8faaf9c2275cdc70299b850ed649ceec62,citation,http://pdfs.semanticscholar.org/7b47/eb8faaf9c2275cdc70299b850ed649ceec62.pdf,1D-LDA vs. 2D-LDA: When is vector-based linear discriminant analysis better than matrix-based?,2008
505,FERET,feret,40.0044795,116.370238,Chinese Academy of Sciences,edu,7b47eb8faaf9c2275cdc70299b850ed649ceec62,citation,http://pdfs.semanticscholar.org/7b47/eb8faaf9c2275cdc70299b850ed649ceec62.pdf,1D-LDA vs. 2D-LDA: When is vector-based linear discriminant analysis better than matrix-based?,2008
506,FERET,feret,35.0116363,135.7680294,"OMRON Corporation, Kyoto, Japan",company,38e7f3fe450b126367ec358be9b4cc04e82fa8c7,citation,https://doi.org/10.1109/TIP.2014.2351265,Maximal Likelihood Correspondence Estimation for Face Recognition Across Pose,2014
507,FERET,feret,40.0044795,116.370238,Chinese Academy of Sciences,edu,38e7f3fe450b126367ec358be9b4cc04e82fa8c7,citation,https://doi.org/10.1109/TIP.2014.2351265,Maximal Likelihood Correspondence Estimation for Face Recognition Across Pose,2014
508,FERET,feret,33.776033,-84.39884086,Georgia Institute of Technology,edu,ffa23a8c988e57cf5fc21b56b522a4ee68f2f362,citation,https://pdfs.semanticscholar.org/ffa2/3a8c988e57cf5fc21b56b522a4ee68f2f362.pdf,Social game retrieval from unstructured videos,2010
509,FERET,feret,40.47913175,-74.43168868,Rutgers University,edu,307c5c0a61e318a65bd65af694ce89c275fd7299,citation,http://pdfs.semanticscholar.org/307c/5c0a61e318a65bd65af694ce89c275fd7299.pdf,Face Mis-alignment Analysis by Multiple-Instance Subspace,2007
510,FERET,feret,43.614386,7.071125,EURECOM,edu,43b6fb3146cb92bc36a2aab1368d8665af106a87,citation,https://doi.org/10.23919/EUSIPCO.2017.8081347,"ASePPI, an adaptive scrambling enabling privacy protection and intelligibility in H.264/AVC",2017
511,FERET,feret,42.718568,-84.47791571,Michigan State University,edu,4b605e6a9362485bfe69950432fa1f896e7d19bf,citation,http://biometrics.cse.msu.edu/Publications/Face/BlantonAllenMillerKalkaJain_CVPRWB2016_HID.pdf,A Comparison of Human and Automated Face Verification Accuracy on Unconstrained Image Sets,2016
512,FERET,feret,43.47061295,-80.54724732,University of Waterloo,edu,2cdf5952b5a1bea5d24917aa2f3fc2ee33568e9a,citation,https://arxiv.org/pdf/1507.01251v1.pdf,Autoencoding the retrieval relevance of medical images,2015
513,FERET,feret,29.6328784,-82.3490133,University of Florida,edu,2a392cbdb2ac977ad9f969659111e20bd0e9611f,citation,http://pdfs.semanticscholar.org/2a39/2cbdb2ac977ad9f969659111e20bd0e9611f.pdf,Supplementary Material for Privacy Preserving Optics for Miniature Vision Sensors,2015
514,FERET,feret,22.1240187,113.54510901,University of Macau,edu,7d61b70d922d20c52a4e629b09465076af71ddfd,citation,https://doi.org/10.1007/s10044-011-0258-2,Nonnegative class-specific entropy component analysis with adaptive step search criterion,2011
515,FERET,feret,28.0599999,-82.41383619,University of South Florida,edu,bde276015ba6677f0ec5fbfc97d5c57daca9d391,citation,http://pdfs.semanticscholar.org/bde2/76015ba6677f0ec5fbfc97d5c57daca9d391.pdf,An Evaluation of Face and Ear Biometrics,2002
516,FERET,feret,41.70456775,-86.23822026,University of Notre Dame,edu,bde276015ba6677f0ec5fbfc97d5c57daca9d391,citation,http://pdfs.semanticscholar.org/bde2/76015ba6677f0ec5fbfc97d5c57daca9d391.pdf,An Evaluation of Face and Ear Biometrics,2002
517,FERET,feret,1.3037257,103.7737763,"Advanced Digital Sciences Center, Singapore",edu,856cc83a3121de89d4a6d9283afbcd5d7ef7aa2b,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6417014,Image-to-Set Face Recognition Using Locality Repulsion Projections and Sparse Reconstruction-Based Similarity Measure,2013
518,FERET,feret,1.3484104,103.68297965,Nanyang Technological University,edu,856cc83a3121de89d4a6d9283afbcd5d7ef7aa2b,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6417014,Image-to-Set Face Recognition Using Locality Repulsion Projections and Sparse Reconstruction-Based Similarity Measure,2013
519,FERET,feret,40.8419836,-73.94368971,Columbia University,edu,759a3b3821d9f0e08e0b0a62c8b693230afc3f8d,citation,http://homes.cs.washington.edu/~neeraj/projects/faceverification/base/papers/nk_iccv2009_attrs.pdf,Attribute and simile classifiers for face verification,2009
520,FERET,feret,26.513188,80.23651945,Indian Institute of Technology Kanpur,edu,871e6c1de2e0ba86bad8975b8411ad76a6a9aef9,citation,http://pdfs.semanticscholar.org/871e/6c1de2e0ba86bad8975b8411ad76a6a9aef9.pdf,Geometric Modeling of 3D-Face Features and Its Applications,2010
521,FERET,feret,37.52914535,45.04886077,Urmia University,edu,8aa85d2f81d7496cf7105ee0a3785f140ddaa367,citation,http://www.csis.pace.edu/~ctappert/dps/2013BTAS/Papers/Paper%2019/PID2859743.pdf,Efficient processing of MRFs for unconstrained-pose face recognition,2013
522,FERET,feret,51.24303255,-0.59001382,University of Surrey,edu,8aa85d2f81d7496cf7105ee0a3785f140ddaa367,citation,http://www.csis.pace.edu/~ctappert/dps/2013BTAS/Papers/Paper%2019/PID2859743.pdf,Efficient processing of MRFs for unconstrained-pose face recognition,2013
523,FERET,feret,24.7246403,46.62335012,King Saud University,edu,674e739709537f0e562b6cf114f15a5cc57fde7e,citation,http://www.cse.unr.edu/~bebis/CGIV2014.pdf,Nonsubsampled Contourlet Transform Based Descriptors for Gender Recognition,2014
524,FERET,feret,51.24303255,-0.59001382,University of Surrey,edu,062cea54e5d58ee41aea607cbf2ba0cf457aa4e7,citation,http://pdfs.semanticscholar.org/062c/ea54e5d58ee41aea607cbf2ba0cf457aa4e7.pdf,The DIARETDB1 Diabetic Retinopathy Database and Evaluation Protocol,2007
525,FERET,feret,56.66340325,12.87929727,Halmstad University,edu,555f75077a02f33a05841f9b63a1388ec5fbcba5,citation,https://arxiv.org/pdf/1810.03360.pdf,A Survey on Periocular Biometrics Research,2016
526,FERET,feret,40.7423025,-74.17928172,New Jersey Institute of Technology,edu,892db59add66fc581ae1a7338ff8bd6b7aa0f2b4,citation,http://pdfs.semanticscholar.org/892d/b59add66fc581ae1a7338ff8bd6b7aa0f2b4.pdf,FPGA-based Normalization for Modified Gram-Schmidt Orthogonalization,2010
527,FERET,feret,-34.9189226,138.60423668,University of Adelaide,edu,019f1462c1b7101100334e4c421d35feea612492,citation,http://pdfs.semanticscholar.org/019f/1462c1b7101100334e4c421d35feea612492.pdf,Running Head : UNFAMILIAR FACE MATCHING The Effects of External Features and Time Pressure on Unfamiliar Face Matching,2006
528,FERET,feret,41.70456775,-86.23822026,University of Notre Dame,edu,10c79df4f44b5e4c08f984f34370d292f31ef309,citation,http://pdfs.semanticscholar.org/10c7/9df4f44b5e4c08f984f34370d292f31ef309.pdf,Multi-Modal 2D and 3D Biometrics for Face Recognition,2003
529,FERET,feret,39.2899685,-76.62196103,University of Maryland,edu,3514f66f155c271981a734f1523572edcd8fd10e,citation,http://www.umiacs.umd.edu/~jhchoi/paper/wacv2012_slide.pdf,A complementary local feature descriptor for face identification,2012
530,FERET,feret,-27.5953995,-48.6154218,University of Campinas,edu,3514f66f155c271981a734f1523572edcd8fd10e,citation,http://www.umiacs.umd.edu/~jhchoi/paper/wacv2012_slide.pdf,A complementary local feature descriptor for face identification,2012
531,FERET,feret,40.5709358,-105.08655256,Colorado State University,edu,aa4d1ad6fd2dbc05139b8121b500c2b1f6b35bec,citation,http://pdfs.semanticscholar.org/aa4d/1ad6fd2dbc05139b8121b500c2b1f6b35bec.pdf,Grassmann Registration Manifolds for Face Recognition,2008
532,FERET,feret,51.24303255,-0.59001382,University of Surrey,edu,c79cf7f61441195404472102114bcf079a72138a,citation,https://pdfs.semanticscholar.org/9704/8d901389535b122f82a6a949bd8f596790f2.pdf,Pose-Invariant 2 D Face Recognition by Matching Using Graphical Models,2010
533,FERET,feret,40.0044795,116.370238,Chinese Academy of Sciences,edu,1acf8970598bb2443fd2dd42ceeca1eb3f2fc613,citation,https://pdfs.semanticscholar.org/1acf/8970598bb2443fd2dd42ceeca1eb3f2fc613.pdf,Boosting Statistical Local Feature Based Classifiers for Face Recognition,2005
534,FERET,feret,46.0658836,11.1159894,University of Trento,edu,a489a7951c7848ebae5a99ac590c016359a85434,citation,https://arxiv.org/pdf/1901.09774.pdf,Attribute-Guided Sketch Generation,2019
535,FERET,feret,30.5097537,114.4062881,Huazhong University of Science and Technology,edu,a489a7951c7848ebae5a99ac590c016359a85434,citation,https://arxiv.org/pdf/1901.09774.pdf,Attribute-Guided Sketch Generation,2019
536,FERET,feret,51.7534538,-1.25400997,University of Oxford,edu,a489a7951c7848ebae5a99ac590c016359a85434,citation,https://arxiv.org/pdf/1901.09774.pdf,Attribute-Guided Sketch Generation,2019
537,FERET,feret,42.2942142,-83.71003894,University of Michigan,edu,a489a7951c7848ebae5a99ac590c016359a85434,citation,https://arxiv.org/pdf/1901.09774.pdf,Attribute-Guided Sketch Generation,2019
538,FERET,feret,52.2380139,6.8566761,University of Twente,edu,0b55b31765f101535eac0d50b9da377f82136d2f,citation,http://mplab.ucsd.edu/wp-content/uploads/CVPR2008/WorkShops/data/papers/163.pdf,Biometric binary string generation with detection rate optimized bit allocation,2008
539,FERET,feret,42.4505507,-76.4783513,Cornell University,edu,bd7477c250f01f63f438c4f3bebe374caf4b86ba,citation,http://pdfs.semanticscholar.org/bd74/77c250f01f63f438c4f3bebe374caf4b86ba.pdf,Real-time Face and Hand Detection for Videoconferencing on a Mobile Device,2009
540,FERET,feret,39.9808333,116.34101249,Beihang University,edu,9039b8097a78f460db9718bc961fdc7d89784092,citation,http://pdfs.semanticscholar.org/9039/b8097a78f460db9718bc961fdc7d89784092.pdf,3D Face Recognition Based on Local Shape Patterns and Sparse Representation Classifier,2011
541,FERET,feret,37.5600406,126.9369248,Yonsei University,edu,ee458bee26e6371f9347b1972bbc9dc26b2f3713,citation,https://arxiv.org/pdf/1703.01396.pdf,Stacking-based deep neural network: Deep analytic network on convolutional spectral histogram features,2017
542,FERET,feret,23.09461185,113.28788994,Sun Yat-Sen University,edu,80d42f74ee9bf03f3790c8d0f5a307deffe0b3b7,citation,https://doi.org/10.1109/TNNLS.2016.2522431,Learning Kernel Extended Dictionary for Face Recognition,2017
543,FERET,feret,-27.49741805,153.01316956,University of Queensland,edu,2af19b5ff2ca428fa42ef4b85ddbb576b5d9a5cc,citation,http://pdfs.semanticscholar.org/2af1/9b5ff2ca428fa42ef4b85ddbb576b5d9a5cc.pdf,Multi-Region Probabilistic Histograms for Robust and Scalable Identity Inference,2009
544,FERET,feret,45.7597643,3.1310213,"VESALIS SAS, France",company,778c1e95b6ea4ccf89067b83364036ab08797256,citation,https://doi.org/10.1109/TIFS.2012.2224866,Exploring Patterns of Gradient Orientations and Magnitudes for Face Recognition,2013
545,FERET,feret,-27.49741805,153.01316956,University of Queensland,edu,b9504e4a2f40f459b5e83143e77f4972c7888445,citation,http://conradsanderson.id.au/pdfs/chen_avss_2008.pdf,Experimental Analysis of Face Recognition on Still and CCTV Images,2008
546,FERET,feret,45.7413921,126.62552755,Harbin Institute of Technology,edu,1da1299088a6bf28167c58bbd46ca247de41eb3c,citation,https://doi.org/10.1109/ICASSP.2002.5745055,Face identification from a single example image based on Face-Specific Subspace (FSS),2002
547,FERET,feret,40.0044795,116.370238,Chinese Academy of Sciences,edu,1da1299088a6bf28167c58bbd46ca247de41eb3c,citation,https://doi.org/10.1109/ICASSP.2002.5745055,Face identification from a single example image based on Face-Specific Subspace (FSS),2002
548,FERET,feret,31.30104395,121.50045497,Fudan University,edu,3ca25a9e906b851df01a53f4443d66978a0243b8,citation,http://pdfs.semanticscholar.org/3ca2/5a9e906b851df01a53f4443d66978a0243b8.pdf,Improved Super-Resolution through Residual Neighbor Embedding,2006
549,FERET,feret,40.0044795,116.370238,Chinese Academy of Sciences,edu,3ca25a9e906b851df01a53f4443d66978a0243b8,citation,http://pdfs.semanticscholar.org/3ca2/5a9e906b851df01a53f4443d66978a0243b8.pdf,Improved Super-Resolution through Residual Neighbor Embedding,2006
550,FERET,feret,37.5600406,126.9369248,Yonsei University,edu,64fd48fae4d859583c4a031b51ce76ecb5de614c,citation,https://doi.org/10.1109/ICARCV.2008.4795556,Illuminated face normalization technique by using wavelet fusion and local binary patterns,2008
551,FERET,feret,2.92749755,101.64185301,Multimedia University,edu,64fd48fae4d859583c4a031b51ce76ecb5de614c,citation,https://doi.org/10.1109/ICARCV.2008.4795556,Illuminated face normalization technique by using wavelet fusion and local binary patterns,2008
552,FERET,feret,39.9808333,116.34101249,Beihang University,edu,70d2ab1af0edd5c0a30d576a5d4aa397c4f92d3e,citation,http://doi.org/10.1007/s11042-018-5608-2,Elastic preserving projections based on L1-norm maximization,2018
553,FERET,feret,56.66340325,12.87929727,Halmstad University,edu,9cda3e56cec21bd8f91f7acfcefc04ac10973966,citation,https://doi.org/10.1109/IWBF.2016.7449688,"Periocular biometrics: databases, algorithms and directions",2016
554,FERET,feret,34.0224149,-118.28634407,University of Southern California,edu,569008018f0b9c4abb8b5c662a6710a1fc38b5a6,citation,http://pdfs.semanticscholar.org/5690/08018f0b9c4abb8b5c662a6710a1fc38b5a6.pdf,Face Similarity Space as Perceived by Humans and Artificial Systems,1998
555,FERET,feret,39.2899685,-76.62196103,University of Maryland,edu,569008018f0b9c4abb8b5c662a6710a1fc38b5a6,citation,http://pdfs.semanticscholar.org/5690/08018f0b9c4abb8b5c662a6710a1fc38b5a6.pdf,Face Similarity Space as Perceived by Humans and Artificial Systems,1998
556,FERET,feret,52.22165395,21.00735776,Warsaw University of Technology,edu,76dff7008d9b8bf44ec5348f294d5518877c6182,citation,https://doi.org/10.1016/j.imavis.2014.09.004,Discrete area filters in accurate detection of faces and facial features,2014
557,FERET,feret,39.5469449,-119.81346566,University of Nevada,edu,4bc2352b087bdc99ef5f00453e5d2272d522524c,citation,http://pdfs.semanticscholar.org/4bc2/352b087bdc99ef5f00453e5d2272d522524c.pdf,Investigating the Impact of Face Categorization on Recognition Performance,2005
558,FERET,feret,41.70456775,-86.23822026,University of Notre Dame,edu,6250781bb606041fdc1621ba08aee541bfb1285b,citation,http://www.cse.nd.edu/Reports/2004/TR-2004-31.pdf,Ear Biometrics Using 2D and 3D Images,2005
559,FERET,feret,13.65450525,100.49423171,Robotics Institute,edu,f6fa68847e0ce7fda05a9c73ebcb484f0b42a9af,citation,http://pdfs.semanticscholar.org/f6fa/68847e0ce7fda05a9c73ebcb484f0b42a9af.pdf,Face Recognition Across Pose and Illumination,2011
560,FERET,feret,45.5039761,-73.5749687,McGill University,edu,3a34c622c1af4b181e99d4a58f7870314944d2c4,citation,http://pdfs.semanticscholar.org/3a34/c622c1af4b181e99d4a58f7870314944d2c4.pdf,D View - Invariant Face Recognition Using a Hierarchical Pose - Normalization Strategy,2005
561,FERET,feret,38.99203005,-76.9461029,University of Maryland College Park,edu,ece80165040e9d8304c5dd808a6cdb29c8ecbf5b,citation,https://pdfs.semanticscholar.org/a2f6/8e5898364ac7c1d4691d23fab716ad672712.pdf,Looking at People Using Partial Least Squares,2010
562,FERET,feret,53.21967825,6.56251482,University of Groningen,edu,ae1de0359f4ed53918824271c888b7b36b8a5d41,citation,http://pdfs.semanticscholar.org/ae1d/e0359f4ed53918824271c888b7b36b8a5d41.pdf,Low-cost Automatic Inpainting for Artifact Suppression in Facial Images,2013
563,FERET,feret,40.0044795,116.370238,Chinese Academy of Sciences,edu,1e46d0714398904e557f27022908121fa8a7902f,citation,http://pdfs.semanticscholar.org/1e46/d0714398904e557f27022908121fa8a7902f.pdf,Baseline Evaluations on the CAS-PEAL-R1 Face Database,2004
564,FERET,feret,42.357757,-83.06286711,Wayne State University,edu,bec31269632c17206deb90cd74367d1e6586f75f,citation,http://pdfs.semanticscholar.org/bec3/1269632c17206deb90cd74367d1e6586f75f.pdf,Large-scale Datasets: Faces with Partial Occlusions and Pose Variations in the Wild,2017
565,FERET,feret,53.27639715,-9.05829961,National University of Ireland Galway,edu,e08038b14165536c52ffe950d90d0f43be9c8f15,citation,https://arxiv.org/pdf/1703.08383.pdf,Smart Augmentation Learning an Optimal Data Augmentation Strategy,2017
566,FERET,feret,24.7246403,46.62335012,King Saud University,edu,edf01e1c84e2f80500fd74da69f428617f2a1665,citation,http://www.cse.unr.edu/~bebis/IWSSIP2013.pdf,Gender recognition from faces using bandlet and local binary patterns,2013
567,FERET,feret,37.4102193,-122.05965487,Carnegie Mellon University,edu,6b3e360b80268fda4e37ff39b7f303e3684e8719,citation,,FACE RECOGNITION FROM SKETCHES USING ADVANCED CORRELATION FILTERS USING HYBRID EIGENANALYSIS FOR FACE SYNTHESIS,2006
568,FERET,feret,33.776033,-84.39884086,Georgia Institute of Technology,edu,987feaa36f3bb663ac9fa767718c6a90ea0dab3f,citation,https://pdfs.semanticscholar.org/987f/eaa36f3bb663ac9fa767718c6a90ea0dab3f.pdf,A Distributed System for Supporting Spatio-temporal Analysis on Large-scale Camera Networks,2012
569,FERET,feret,48.9095338,9.1831892,University of Stuttgart,edu,987feaa36f3bb663ac9fa767718c6a90ea0dab3f,citation,https://pdfs.semanticscholar.org/987f/eaa36f3bb663ac9fa767718c6a90ea0dab3f.pdf,A Distributed System for Supporting Spatio-temporal Analysis on Large-scale Camera Networks,2012
570,FERET,feret,42.9336278,-78.88394479,SUNY Buffalo,edu,987feaa36f3bb663ac9fa767718c6a90ea0dab3f,citation,https://pdfs.semanticscholar.org/987f/eaa36f3bb663ac9fa767718c6a90ea0dab3f.pdf,A Distributed System for Supporting Spatio-temporal Analysis on Large-scale Camera Networks,2012
571,FERET,feret,-33.3578899,151.37834708,University of Newcastle,edu,2feb7c57d51df998aafa6f3017662263a91625b4,citation,https://pdfs.semanticscholar.org/d344/9eaaf392fd07b676e744410049f4095b4b5c.pdf,Feature Selection for Intelligent Transportation Systems,2014
572,FERET,feret,22.1240187,113.54510901,University of Macau,edu,c3558f67b3f4b618e6b53ce844faf38240ee7cd7,citation,https://arxiv.org/pdf/1802.07589.pdf,Collaboratively Weighting Deep and Classic Representation via $l_2$ Regularization for Image Classification,2018
573,FERET,feret,50.89273635,-1.39464295,University of Southampton,edu,c3558f67b3f4b618e6b53ce844faf38240ee7cd7,citation,https://arxiv.org/pdf/1802.07589.pdf,Collaboratively Weighting Deep and Classic Representation via $l_2$ Regularization for Image Classification,2018
574,FERET,feret,32.20302965,119.50968362,Jiangsu University,edu,c3558f67b3f4b618e6b53ce844faf38240ee7cd7,citation,https://arxiv.org/pdf/1802.07589.pdf,Collaboratively Weighting Deep and Classic Representation via $l_2$ Regularization for Image Classification,2018
575,FERET,feret,35.9990522,-78.9290629,Duke University,edu,a7678cce6bfca4a34feee5564c87c80fe192a0fd,citation,http://pdfs.semanticscholar.org/a767/8cce6bfca4a34feee5564c87c80fe192a0fd.pdf,The Weakly Identifying System for Doorway Monitoring,2007
576,FERET,feret,22.42031295,114.20788644,Chinese University of Hong Kong,edu,550289407a642e81e1ef9dc0476117ed7816e9b5,citation,http://pdfs.semanticscholar.org/5502/89407a642e81e1ef9dc0476117ed7816e9b5.pdf,Conditional Infomax Learning: An Integrated Framework for Feature Extraction and Fusion,2006
577,FERET,feret,39.977217,116.337632,Microsoft Research Asia,company,550289407a642e81e1ef9dc0476117ed7816e9b5,citation,http://pdfs.semanticscholar.org/5502/89407a642e81e1ef9dc0476117ed7816e9b5.pdf,Conditional Infomax Learning: An Integrated Framework for Feature Extraction and Fusion,2006
578,FERET,feret,41.70456775,-86.23822026,University of Notre Dame,edu,6577d30abd8bf5b21901572504bd82101a7eed75,citation,http://pdfs.semanticscholar.org/6577/d30abd8bf5b21901572504bd82101a7eed75.pdf,Ear Biometrics in Human,2006
579,FERET,feret,45.42580475,-75.68740118,University of Ottawa,edu,65293ecf6a4c5ab037a2afb4a9a1def95e194e5f,citation,http://pdfs.semanticscholar.org/6529/3ecf6a4c5ab037a2afb4a9a1def95e194e5f.pdf,"Face , Age and Gender Recognition using Local Descriptors",2014
580,FERET,feret,40.00229045,116.32098908,Tsinghua University,edu,885c37f94e9edbbb2177cfba8cb1ad840b2a5f20,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8006255,Simultaneous Local Binary Feature Learning and Encoding for Homogeneous and Heterogeneous Face Recognition,2018
581,FERET,feret,1.3484104,103.68297965,Nanyang Technological University,edu,885c37f94e9edbbb2177cfba8cb1ad840b2a5f20,citation,http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8006255,Simultaneous Local Binary Feature Learning and Encoding for Homogeneous and Heterogeneous Face Recognition,2018
582,FERET,feret,40.0044795,116.370238,Chinese Academy of Sciences,edu,279acfde0286bb76dd7717abebc3c8acf12d2c5f,citation,http://www.cbsr.ia.ac.cn/users/zlei/papers/ICPR2014/Lei-ICPR-14.pdf,Local Gradient Order Pattern for Face Representation and Recognition,2014
583,FERET,feret,22.3874201,114.2082222,Hong Kong Baptist University,edu,17f472a7cb25bf1e76ff29181b1d40585e2ae5c1,citation,https://doi.org/10.1109/BTAS.2015.7358764,Fusing binary templates for multi-biometric cryptosystems,2015
584,FERET,feret,45.7413921,126.62552755,Harbin Institute of Technology,edu,cf671dc13696d1643cc1f32f7d32c329b16cd745,citation,http://pdfs.semanticscholar.org/cf67/1dc13696d1643cc1f32f7d32c329b16cd745.pdf,Multiple Fisher Classifiers Combination for Face Recognition based on Grouping AdaBoosted Gabor Features,2005
585,FERET,feret,40.0044795,116.370238,Chinese Academy of Sciences,edu,cf671dc13696d1643cc1f32f7d32c329b16cd745,citation,http://pdfs.semanticscholar.org/cf67/1dc13696d1643cc1f32f7d32c329b16cd745.pdf,Multiple Fisher Classifiers Combination for Face Recognition based on Grouping AdaBoosted Gabor Features,2005
586,FERET,feret,42.718568,-84.47791571,Michigan State University,edu,b53485dbdd2dc5e4f3c7cff26bd8707964bb0503,citation,http://doi.org/10.1007/s11263-017-1012-z,Pose-Invariant Face Alignment via CNN-Based Dense 3D Model Fitting,2017
587,FERET,feret,52.9387428,-1.20029569,University of Nottingham,edu,9fbcf40b0649c03ba0f38f940c34e7e6c9e04c03,citation,https://doi.org/10.1007/s10044-006-0033-y,A review on Gabor wavelets for face recognition,2006
588,FERET,feret,35.9542493,-83.9307395,University of Tennessee,edu,d103df0381582003c7a8930b68047b4f26d9b613,citation,http://pdfs.semanticscholar.org/d103/df0381582003c7a8930b68047b4f26d9b613.pdf,Quality Assessment and Restoration of Face Images in Long Range/High Zoom Video,2006
589,FERET,feret,13.0222347,77.56718325,Indian Institute of Science Bangalore,edu,56fb30b24e7277b47d366ca2c491749eee4d6bb1,citation,https://doi.org/10.1109/ICAPR.2015.7050658,Using Bayesian statistics and Gabor Wavelets for recognition of human faces,2015
590,FERET,feret,39.2899685,-76.62196103,University of Maryland,edu,963a004e208ce4bd26fa79a570af61d31651b3c3,citation,https://doi.org/10.1016/j.jvlc.2009.01.011,Computational methods for modeling facial aging: A survey,2009
591,FERET,feret,40.0044795,116.370238,Chinese Academy of Sciences,edu,4a18adc7f5a090a041528a88166671248703f6e0,citation,http://pdfs.semanticscholar.org/c2c3/ecd39dd24e2b57ae6023536cc1fcd29d184a.pdf,Illumination Normalization for Robust Face Recognition Against Varying Lighting Conditions,2003
592,FERET,feret,45.7413921,126.62552755,Harbin Institute of Technology,edu,4a18adc7f5a090a041528a88166671248703f6e0,citation,http://pdfs.semanticscholar.org/c2c3/ecd39dd24e2b57ae6023536cc1fcd29d184a.pdf,Illumination Normalization for Robust Face Recognition Against Varying Lighting Conditions,2003
593,FERET,feret,-31.95040445,115.79790037,University of Western Australia,edu,301662c2a6ed86e48f21c1d24bfc67b403201b0c,citation,http://pdfs.semanticscholar.org/688d/0dddf90995ba6248de148e58030cb8f558e8.pdf,Repetition Suppression in Ventral Visual Cortex Is Diminished as a Function of Increasing Autistic Traits,2015
594,FERET,feret,52.17638955,0.14308882,University of Cambridge,edu,301662c2a6ed86e48f21c1d24bfc67b403201b0c,citation,http://pdfs.semanticscholar.org/688d/0dddf90995ba6248de148e58030cb8f558e8.pdf,Repetition Suppression in Ventral Visual Cortex Is Diminished as a Function of Increasing Autistic Traits,2015
595,FERET,feret,28.2290209,112.99483204,"National University of Defense Technology, China",edu,c48b2582429cc9ae427a264eed469d08b571acde,citation,https://pdfs.semanticscholar.org/c48b/2582429cc9ae427a264eed469d08b571acde.pdf,Facial Peculiarity Retrieval via Deep Neural Networks Fusion,2018
596,FERET,feret,40.5709358,-105.08655256,Colorado State University,edu,878ec66a3bb87f23f3f8fd96ee504f79e6100a95,citation,https://pdfs.semanticscholar.org/878e/c66a3bb87f23f3f8fd96ee504f79e6100a95.pdf,THESIS EVALUATING THE PERFORMANCE OF IPHOTO FACIAL RECOGNITION AT THE BIOMETRIC VERIFICATION TASK,2012
597,FERET,feret,41.70456775,-86.23822026,University of Notre Dame,edu,124f6992202777c09169343d191c254592e4428c,citation,https://arxiv.org/pdf/1803.07140.pdf,Visual Psychophysics for Making Face Recognition Algorithms More Explainable,2018
598,FERET,feret,42.36782045,-71.12666653,Harvard University,edu,124f6992202777c09169343d191c254592e4428c,citation,https://arxiv.org/pdf/1803.07140.pdf,Visual Psychophysics for Making Face Recognition Algorithms More Explainable,2018
599,FERET,feret,45.7413921,126.62552755,Harbin Institute of Technology,edu,4156f9fc5983b09eb97ad3d9abc248b15440b955,citation,http://pdfs.semanticscholar.org/4156/f9fc5983b09eb97ad3d9abc248b15440b955.pdf,"2 Subspace Methods for Face Recognition : Singularity , Regularization , and Robustness",2012
600,FERET,feret,64.137274,-21.94561454,University of Iceland,edu,533d70c914a4b84ec7f35ef6c74bb3acba4c26fc,citation,http://pdfs.semanticscholar.org/533d/70c914a4b84ec7f35ef6c74bb3acba4c26fc.pdf,Blaming the victims of your own mistakes: How visual search accuracy influences evaluation of stimuli.,2015
601,FERET,feret,51.5231607,-0.1282037,University College London,edu,533d70c914a4b84ec7f35ef6c74bb3acba4c26fc,citation,http://pdfs.semanticscholar.org/533d/70c914a4b84ec7f35ef6c74bb3acba4c26fc.pdf,Blaming the victims of your own mistakes: How visual search accuracy influences evaluation of stimuli.,2015
602,FERET,feret,40.0141905,-83.0309143,University of Electronic Science and Technology of China,edu,ccd7a6b9f23e983a3fc6a70cc3b9c9673d70bf2c,citation,http://pdfs.semanticscholar.org/ccd7/a6b9f23e983a3fc6a70cc3b9c9673d70bf2c.pdf,Symmetrical Two-Dimensional PCA with Image Measures in Face Recognition,2012
603,FERET,feret,35.9113971,-79.0504529,University of North Carolina at Chapel Hill,edu,60a006bdfe5b8bf3243404fae8a5f4a9d58fa892,citation,http://alumni.cs.ucr.edu/~mkafai/papers/Paper_bwild.pdf,A reference-based framework for pose invariant face recognition,2015
604,FERET,feret,32.0565957,118.77408833,Nanjing University,edu,19fed85436eff43e60b9476e3d8742dfedba6384,citation,http://pdfs.semanticscholar.org/19fe/d85436eff43e60b9476e3d8742dfedba6384.pdf,A Novel Multiple Kernel Sparse Representation based Classification for Face Recognition,2014
605,FERET,feret,34.80809035,135.45785218,Osaka University,edu,244c5f88186475bc3b051be8ebb6422e4b8de707,citation,http://www.am.sanken.osaka-u.ac.jp/~mansur/files/cvpr2012.pdf,Video from nearly still: An application to low frame-rate gait recognition,2012
606,FERET,feret,40.00229045,116.32098908,Tsinghua University,edu,977bedd692c240c162481ef769b31e0f5455469a,citation,http://pdfs.semanticscholar.org/977b/edd692c240c162481ef769b31e0f5455469a.pdf,A Two-Step Approach to Hallucinating Faces: Global Parametric Model and Local Nonparametric Model,2001
607,FERET,feret,39.9082804,116.2458527,University of Chinese Academy of Sciences,edu,9e1c3c7f1dce662a877727a821bdf41c5cd906bb,citation,http://pdfs.semanticscholar.org/9e1c/3c7f1dce662a877727a821bdf41c5cd906bb.pdf,Learning Disentangling and Fusing Networks for Face Completion Under Structured Occlusions,2017
608,FERET,feret,42.718568,-84.47791571,Michigan State University,edu,4308f53244bbb6a1e22ba1d39e079e5065a51364,citation,http://pdfs.semanticscholar.org/4308/f53244bbb6a1e22ba1d39e079e5065a51364.pdf,Ethnicity Identification from Face Images,2004
609,FERET,feret,33.30715065,-111.67653157,Arizona State University,edu,5b1f3a60518c3a552de09ed51646764551f4cb84,citation,http://mplab.ucsd.edu/wp-content/uploads/CVPR2008/WorkShops/data/papers/121.pdf,Multiple cue integration in transductive confidence machines for head pose classification,2008
610,FERET,feret,3.06405715,101.6005974,Monash University Malaysia,edu,a96a7a381872ae40179ded0d79f905da0455d9d1,citation,http://pdfs.semanticscholar.org/a96a/7a381872ae40179ded0d79f905da0455d9d1.pdf,Segmentation of Saimaa Ringed Seals for Identification Purposes,2015
611,FERET,feret,32.87935255,-117.23110049,"University of California, San Diego",edu,9a7fcd09afd8c3ae227e621795168c94ffbac71d,citation,http://mplab.ucsd.edu/wp-content/uploads/2011-WuEtAl-FERA-DatasetTransfer.pdf,Action unit recognition transfer across datasets,2011
612,FERET,feret,40.0044795,116.370238,Chinese Academy of Sciences,edu,f2d813a987f0aed5056d5eccbadee8738bbd0a4b,citation,http://pdfs.semanticscholar.org/f2d8/13a987f0aed5056d5eccbadee8738bbd0a4b.pdf,Fast Matching by 2 Lines of Code for Large Scale Face Recognition Systems,2013
613,FERET,feret,51.44415765,7.26096541,Ruhr-University Bochum,edu,8489236bbbb3298f4513c7e005a85ba7a48cc946,citation,http://pdfs.semanticscholar.org/8489/236bbbb3298f4513c7e005a85ba7a48cc946.pdf,Vision and Touch for Grasping,2000
614,FERET,feret,1.3484104,103.68297965,Nanyang Technological University,edu,1dede3e0f2e0ed2984aca8cd98631b43c3f887b9,citation,http://www3.ntu.edu.sg/home/EXDJiang/ICASSP13-3.pdf,A vote of confidence based interest point detector,2013
615,FERET,feret,39.1254938,-77.22293475,National Institute of Standards and Technology,edu,4c56f119ebf7c71f2a83e4d79e8d88314b8e6044,citation,http://www.nist.gov/customcf/get_pdf.cfm?pub_id=906254,An other-race effect for face recognition algorithms,2011
616,FERET,feret,32.9820799,-96.7566278,University of Texas at Dallas,edu,4c56f119ebf7c71f2a83e4d79e8d88314b8e6044,citation,http://www.nist.gov/customcf/get_pdf.cfm?pub_id=906254,An other-race effect for face recognition algorithms,2011
617,FERET,feret,22.42031295,114.20788644,Chinese University of Hong Kong,edu,1b67053c682dcbc9dc368de89fff32f787320a96,citation,http://mmlab.ie.cuhk.edu.hk/archive/2007/CVPR07_face01.pdf,Quality-Driven Face Occlusion Detection and Recovery,2007
618,FERET,feret,46.0501558,14.46907327,University of Ljubljana,edu,86274e426bfe962d5cb994d5d9c6829f64410c32,citation,http://pdfs.semanticscholar.org/8627/4e426bfe962d5cb994d5d9c6829f64410c32.pdf,Face Recognition in Different Subspaces: A Comparative Study,2006
619,FERET,feret,40.8419836,-73.94368971,Columbia University,edu,4c170a0dcc8de75587dae21ca508dab2f9343974,citation,http://pdfs.semanticscholar.org/73a8/1d311eedac8dea3ca24dc15b6990fa4a725e.pdf,FaceTracer: A Search Engine for Large Collections of Images with Faces,2008
620,FERET,feret,39.2899685,-76.62196103,University of Maryland,edu,4276eb27e2e4fc3e0ceb769eca75e3c73b7f2e99,citation,http://pdfs.semanticscholar.org/4276/eb27e2e4fc3e0ceb769eca75e3c73b7f2e99.pdf,Face Recognition From Video,2008
621,FERET,feret,45.7413921,126.62552755,Harbin Institute of Technology,edu,63f9f3f0e1daede934d6dde1a84fb7994f8929f0,citation,http://www.jdl.ac.cn/user/sgshan/pub/ICCV2005-ZhangShan-LGBP.pdf,Local Gabor binary pattern histogram sequence (LGBPHS): a novel non-statistical model for face representation and recognition,2005
622,FERET,feret,37.4102193,-122.05965487,Carnegie Mellon University,edu,39e1fb5539737a17ae5fc25de30377dfaecfa100,citation,https://www.ri.cmu.edu/pub_files/pub4/gross_ralph_2004_1/gross_ralph_2004_1.pdf,Appearance-based face recognition and light-fields,2004
623,FERET,feret,13.0105838,80.2353736,Anna University,edu,e19ba2a6ce70fb94d31bb0b39387aa734e6860b0,citation,http://pdfs.semanticscholar.org/e19b/a2a6ce70fb94d31bb0b39387aa734e6860b0.pdf,A Different Approach to Appearance –based Statistical Method for Face Recognition Using Median,2007
624,FERET,feret,32.87935255,-117.23110049,"University of California, San Diego",edu,528a6698911ff30aa648af4d0a5cf0dd9ee90b5c,citation,https://pdfs.semanticscholar.org/528a/6698911ff30aa648af4d0a5cf0dd9ee90b5c.pdf,Is All Face Processing Holistic ? The View from UCSD,2003
625,FERET,feret,41.6659,-91.57310307,University of Iowa,edu,528a6698911ff30aa648af4d0a5cf0dd9ee90b5c,citation,https://pdfs.semanticscholar.org/528a/6698911ff30aa648af4d0a5cf0dd9ee90b5c.pdf,Is All Face Processing Holistic ? The View from UCSD,2003
626,FERET,feret,35.9023226,14.4834189,University of Malta,edu,4c5566d4cb47f4db45d46c6aaf324d6057b580bc,citation,http://doi.ieeecomputersociety.org/10.1109/AVSS.2016.7738068,Gender recognition from face images with trainable COSFIRE filters,2016
627,FERET,feret,40.5709358,-105.08655256,Colorado State University,edu,462fe97ce53e58c8e2cb01c925b46bcf3bb53eda,citation,http://www.cs.colostate.edu/~draper/papers/givens_cvpr04.pdf,How features of the human face affect recognition: a statistical comparison of three face recognition algorithms,2004
628,FERET,feret,61.44964205,23.85877462,Tampere University of Technology,edu,c95e379aab32a1611f1f549fd11a3e9498ab5dae,citation,http://pdfs.semanticscholar.org/c95e/379aab32a1611f1f549fd11a3e9498ab5dae.pdf,Constructing Benchmark Databases and Protocols for Medical Image Analysis: Diabetic Retinopathy,2013
629,FERET,feret,61.49412325,23.77920678,University of Tampere,edu,c95e379aab32a1611f1f549fd11a3e9498ab5dae,citation,http://pdfs.semanticscholar.org/c95e/379aab32a1611f1f549fd11a3e9498ab5dae.pdf,Constructing Benchmark Databases and Protocols for Medical Image Analysis: Diabetic Retinopathy,2013
630,FERET,feret,52.4107358,-4.05295501,Aberystwyth University,edu,9264b390aa00521f9bd01095ba0ba4b42bf84d7e,citation,http://pdfs.semanticscholar.org/9264/b390aa00521f9bd01095ba0ba4b42bf84d7e.pdf,Displacement Template with Divide-&-Conquer Algorithm for Significantly Improving Descriptor Based Face Recognition Approaches,2012
631,FERET,feret,53.8925662,-122.81471592,University of Northern British Columbia,edu,9264b390aa00521f9bd01095ba0ba4b42bf84d7e,citation,http://pdfs.semanticscholar.org/9264/b390aa00521f9bd01095ba0ba4b42bf84d7e.pdf,Displacement Template with Divide-&-Conquer Algorithm for Significantly Improving Descriptor Based Face Recognition Approaches,2012
632,FERET,feret,40.7423025,-74.17928172,New Jersey Institute of Technology,edu,5bb9540375ba9bba22f8a22ba2990cfe7ff6780c,citation,http://pdfs.semanticscholar.org/5bb9/540375ba9bba22f8a22ba2990cfe7ff6780c.pdf,Discriminant Analysis of Haar Features for Accurate Eye Detection,2011
633,FERET,feret,40.11116745,-88.22587665,"University of Illinois, Urbana-Champaign",edu,01a19d3e902d7431f533f5f0b54510a7fb9bda23,citation,http://pdfs.semanticscholar.org/3521/15bbb399b94865a7d870d1cd1a79e42104b8.pdf,A Practical Face Relighting Method for Directional Lighting Normalization,2005
634,FERET,feret,42.718568,-84.47791571,Michigan State University,edu,022f38febc47818a010dc64ca54f6e137055cc88,citation,http://biometrics.cse.msu.edu/Publications/Face/HanJain_3DFaceTextureModeling_UncalibratedFrontalProfileImages_BTAS12.pdf,3D face texture modeling from uncalibrated frontal and profile images,2012
635,FERET,feret,34.0224149,-118.28634407,University of Southern California,edu,b13014374863715c421ed92d3827fc7e09a3e47a,citation,https://pdfs.semanticscholar.org/fe31/8312fd51fc65d132084c3862c85f067e6edf.pdf,Rapid Correspondence Finding in Networks of Cortical Columns,2006
636,FERET,feret,44.97308605,-93.23708813,University of Minnesota,edu,8a55c385c8cf76cadaa28c7ab1fde9dc28577b08,citation,http://www-users.cs.umn.edu/~boley/publications/papers/ICCV2011.pdf,Positive definite dictionary learning for region covariances,2011
637,FERET,feret,30.3125525,120.3430946,Hangzhou Dianzi University,edu,d40cd10f0f3e64fd9b0c2728089e10e72bea9616,citation,http://pdfs.semanticscholar.org/d40c/d10f0f3e64fd9b0c2728089e10e72bea9616.pdf,Enhancing Face Identification Using Local Binary Patterns and K-Nearest Neighbors,2017