diff options
| author | jules@lens <julescarbon@gmail.com> | 2019-02-20 18:36:25 +0100 |
|---|---|---|
| committer | jules@lens <julescarbon@gmail.com> | 2019-02-20 18:36:25 +0100 |
| commit | 2116027843edad22d87e6a56269b26cd6aafb8e8 (patch) | |
| tree | ae15c70898a3ee28668a154ccdc1e600af51834c /site/datasets/citations/georgia_tech_face_database.json | |
| parent | 1ef0b07c0bbd779f3ab9b618a0edb768b927816e (diff) | |
updating all reports
Diffstat (limited to 'site/datasets/citations/georgia_tech_face_database.json')
| -rw-r--r-- | site/datasets/citations/georgia_tech_face_database.json | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/site/datasets/citations/georgia_tech_face_database.json b/site/datasets/citations/georgia_tech_face_database.json index 2653f014..a12fe51b 100644 --- a/site/datasets/citations/georgia_tech_face_database.json +++ b/site/datasets/citations/georgia_tech_face_database.json @@ -1 +1 @@ -{"id": "3dc3f0b64ef80f573e3a5f96e456e52ee980b877", "paper": {"paperId": "3dc3f0b64ef80f573e3a5f96e456e52ee980b877", "key": "georgia_tech_face_database", "title": "MAXIMUM LIKELIHOOD TRAINING OF THE EMBEDDED HMM FOR FACE DETECTION AND RECOGNITION Ara V. Ne an and Monson H. Hayes III Center for Signal and Image Processing School of Electrical and Computer Engineering", "journal": "Unknown", "address": "", "address_type": "", "lat": "", "lng": "", "pdf_link": "https://pdfs.semanticscholar.org/3dc3/f0b64ef80f573e3a5f96e456e52ee980b877.pdf", "report_link": "papers/3dc3f0b64ef80f573e3a5f96e456e52ee980b877.html", "citation_count": 3, "citations_geocoded": 1, "citations_unknown": 2, "citations_empty": 0, "citations_pdf": 2, "citations_doi": 1, "name": "Georgia Tech Face"}, "address": null, "citations": [["Image recognition based on separable lattice trajectory 2-D HMMS", "Nagoya Institute of Technology, Japan", "Nagoya Institute of Technology, Japan", "Nagoya Institute of Technology, Japan", "Gokisocho, Showa Ward, Nagoya, Aichi Prefecture 466-8555, Japan", "35.15713490", "136.92483840", "edu", "", "2013"]]}
\ No newline at end of file +{"id": "3dc3f0b64ef80f573e3a5f96e456e52ee980b877", "paper": {"paperId": "3dc3f0b64ef80f573e3a5f96e456e52ee980b877", "key": "georgia_tech_face_database", "title": "MAXIMUM LIKELIHOOD TRAINING OF THE EMBEDDED HMM FOR FACE DETECTION AND RECOGNITION Ara V. Ne an and Monson H. Hayes III Center for Signal and Image Processing School of Electrical and Computer Engineering", "journal": "Unknown", "address": "", "country": "", "address_type": "", "lat": "", "lng": "", "pdf_link": "https://pdfs.semanticscholar.org/3dc3/f0b64ef80f573e3a5f96e456e52ee980b877.pdf", "report_link": "papers/3dc3f0b64ef80f573e3a5f96e456e52ee980b877.html", "citation_count": 3, "citations_geocoded": 1, "citations_unknown": 2, "citations_empty": 0, "citations_pdf": 2, "citations_doi": 1, "name": "Georgia Tech Face"}, "address": null, "citations": [["Image recognition based on separable lattice trajectory 2-D HMMS", "Nagoya Institute of Technology, Japan", "Nagoya Institute of Technology, Japan", "Nagoya Institute of Technology, Japan", "Gokisocho, Showa Ward, Nagoya, Aichi Prefecture 466-8555, Japan", "35.15713490", "136.92483840", "edu", "", "", "2013"]]}
\ No newline at end of file |