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Diffstat (limited to 'site/datasets/citations/3dc3f0b64ef80f573e3a5f96e456e52ee980b877.json')
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diff --git a/site/datasets/citations/3dc3f0b64ef80f573e3a5f96e456e52ee980b877.json b/site/datasets/citations/3dc3f0b64ef80f573e3a5f96e456e52ee980b877.json new file mode 100644 index 00000000..203659dc --- /dev/null +++ b/site/datasets/citations/3dc3f0b64ef80f573e3a5f96e456e52ee980b877.json @@ -0,0 +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": 0, "name": "Georgia Tech Face"}, "address": null, "citations": []}
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