{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:13:17Z","timestamp":1750306397214,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":10,"publisher":"ACM","license":[{"start":{"date-parts":[[2015,10,17]],"date-time":"2015-10-17T00:00:00Z","timestamp":1445040000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Program on Key Basic Research Project of China","award":["2015CB352400"],"award-info":[{"award-number":["2015CB352400"]}]},{"name":"National Science Foundation of China","award":["61170034"],"award-info":[{"award-number":["61170034"]}]},{"name":"National High Technology Research Development Program of China","award":["2013AA040601"],"award-info":[{"award-number":["2013AA040601"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2015,10,17]]},"DOI":"10.1145\/2806416.2806620","type":"proceedings-article","created":{"date-parts":[[2016,12,1]],"date-time":"2016-12-01T19:23:23Z","timestamp":1480620203000},"page":"1891-1894","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["DeepCamera"],"prefix":"10.1145","author":[{"given":"Pai","family":"Peng","sequence":"first","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongxiang","family":"Chen","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lidan","family":"Shou","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ke","family":"Chen","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gang","family":"Chen","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chang","family":"Xu","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2015,10,17]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"http:\/\/www.cs.toronto.edu\/sim~tijmen\/csc321\/slides\/.  http:\/\/www.cs.toronto.edu\/sim~tijmen\/csc321\/slides\/."},{"key":"e_1_3_2_1_2_1","unstructured":"http:\/\/www.geonames.org\/.  http:\/\/www.geonames.org\/."},{"key":"e_1_3_2_1_3_1","unstructured":"http:\/\/www.kpcb.com\/internet-trends.  http:\/\/www.kpcb.com\/internet-trends."},{"key":"e_1_3_2_1_4_1","volume-title":"Do deep nets really need to be deep? CoRR, abs\/1312.6184","author":"Ba L. J.","year":"2013","unstructured":"L. J. Ba and R. Caurana . Do deep nets really need to be deep? CoRR, abs\/1312.6184 , 2013 . L. J. Ba and R. Caurana. Do deep nets really need to be deep? CoRR, abs\/1312.6184, 2013."},{"key":"e_1_3_2_1_5_1","first-page":"1097","volume-title":"NIPS","author":"Krizhevsky A.","year":"2012","unstructured":"A. Krizhevsky , I. Sutskever , and G. E. Hinton . Imagenet classification with deep convolutional neural networks . In NIPS , pages 1097 -- 1105 . 2012 . A. Krizhevsky, I. Sutskever, and G. E. Hinton. Imagenet classification with deep convolutional neural networks. In NIPS, pages 1097--1105. 2012."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/2484028.2484173"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/2600428.2609557"},{"key":"e_1_3_2_1_8_1","volume-title":"Very deep convolutional networks for large-scale image recognition. CoRR, abs\/1409.1556","author":"Simonyan K.","year":"2014","unstructured":"K. Simonyan and A. Zisserman . Very deep convolutional networks for large-scale image recognition. CoRR, abs\/1409.1556 , 2014 . K. Simonyan and A. Zisserman. Very deep convolutional networks for large-scale image recognition. CoRR, abs\/1409.1556, 2014."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.5555\/946247.946751"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.5555\/2627435.2670313"}],"event":{"name":"CIKM'15: 24th ACM International Conference on Information and Knowledge Management","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"],"location":"Melbourne Australia","acronym":"CIKM'15"},"container-title":["Proceedings of the 24th ACM International on Conference on Information and Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2806416.2806620","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2806416.2806620","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T05:07:22Z","timestamp":1750223242000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2806416.2806620"}},"subtitle":["A Unified Framework for Recognizing Places-of-Interest based on Deep ConvNets"],"short-title":[],"issued":{"date-parts":[[2015,10,17]]},"references-count":10,"alternative-id":["10.1145\/2806416.2806620","10.1145\/2806416"],"URL":"https:\/\/doi.org\/10.1145\/2806416.2806620","relation":{},"subject":[],"published":{"date-parts":[[2015,10,17]]},"assertion":[{"value":"2015-10-17","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}