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diff --git a/site/datasets/final/feret.csv b/site/datasets/final/feret.csv new file mode 100644 index 00000000..24f9991f --- /dev/null +++ b/site/datasets/final/feret.csv @@ -0,0 +1,639 @@ +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 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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? 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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 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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 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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 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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 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Telecommunications,edu,9729930ab0f9cbcd07f1105bc69c540330cda50a,citation,https://doi.org/10.1109/ACCESS.2017.2749331,Compressing Fisher Vector for Robust Face Recognition,2017 +158,FERET,feret,31.32235655,121.38400941,Shanghai University,edu,459eb3cfd9b52a0d416571e4bc4e75f979f4b901,citation,https://doi.org/10.1109/ROBIO.2015.7418998,Vision development of humanoid head robot SHFR-III,2015 +159,FERET,feret,34.8452999,48.5596212,Islamic Azad University,edu,14b2dff604f148c4e5b54aa25fbecbf7f9071205,citation,http://www.iranprc.org/pdf/paper/2011-06.pdf,A new preselection method for face recognition in JPEG domain based on face segmentation,2011 +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 +162,FERET,feret,40.72925325,-73.99625394,New York University,edu,54e6343f4368d9e5468c3e83b6eeb3a58a3c7555,citation,http://pdfs.semanticscholar.org/54e6/343f4368d9e5468c3e83b6eeb3a58a3c7555.pdf,Reconstructing Perceived and Retrieved Faces from Activity Patterns in Lateral Parietal Cortex.,2016 +163,FERET,feret,38.8833413,-77.1045977,DARPA,mil,00d6e5a1b347463f6aeb08a10cd912273c9d1347,citation,http://pdfs.semanticscholar.org/00d6/e5a1b347463f6aeb08a10cd912273c9d1347.pdf,Face Recognition Vendor Test 2002 : Evaluation Report,2003 +164,FERET,feret,39.1254938,-77.22293475,National Institute of Standards and 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University,edu,f2ad9b43bac8c2bae9dea694f6a4e44c760e63da,citation,http://pdfs.semanticscholar.org/f2ad/9b43bac8c2bae9dea694f6a4e44c760e63da.pdf,A Study on Illumination Invariant Face Recognition Methods Based on Multiple Eigenspaces,2005 +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 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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 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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 +200,FERET,feret,41.70456775,-86.23822026,University of Notre Dame,edu,841855205818d3a6d6f85ec17a22515f4f062882,citation,https://arxiv.org/pdf/1805.11529.pdf,Low Resolution Face Recognition in the Wild,2018 +201,FERET,feret,42.3583961,-71.09567788,MIT,edu,05bd6c2bc5dc6d65c48c6366788441bcfdd9db3a,citation,http://pdfs.semanticscholar.org/05bd/6c2bc5dc6d65c48c6366788441bcfdd9db3a.pdf,Personalizing Smart Environments: Face Recognition for Human Interaction,1999 +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 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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 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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 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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. 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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 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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 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