diff options
| author | jules@lens <julescarbon@gmail.com> | 2019-02-18 13:53:18 +0100 |
|---|---|---|
| committer | jules@lens <julescarbon@gmail.com> | 2019-02-18 13:53:18 +0100 |
| commit | 3fc5bb42b0dd94b56d0f11b1568d30a1ff835629 (patch) | |
| tree | 0a56e7f9cb84bda15a6e3074d1eba8312cc058f5 /site/datasets/citations/georgia_tech_face_database.json | |
| parent | b28f65ad5016ba3c3c9f973bd2a64ea3c8a3f84c (diff) | |
rebuild everything
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 f82f2f2d..2653f014 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", "journal": "", "address": "", "address_type": "", "lat": "", "lng": "", "pdf_link": "http://pdfs.semanticscholar.org/3dc3/f0b64ef80f573e3a5f96e456e52ee980b877.pdf", "report_link": "papers/3dc3f0b64ef80f573e3a5f96e456e52ee980b877.html", "citation_count": 3, "citations_geocoded": 0, "citations_unknown": 3, "citations_empty": 0, "citations_pdf": 2, "citations_doi": 1, "name": "Georgia Tech Face"}, "address": null, "citations": []}
\ 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": "", "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 |