{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,8]],"date-time":"2026-09-08T12:10:44Z","timestamp":1788869444541,"version":"build-2803163510"},"publisher-location":"New York, NY, USA","reference-count":28,"publisher":"ACM","license":[{"start":{"date-parts":[[2009,11,23]],"date-time":"2009-11-23T00:00:00Z","timestamp":1258934400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100005408","name":"University of Electronic Science and Technology of China","doi-asserted-by":"publisher","award":["JX0745"],"award-info":[{"award-number":["JX0745"]}],"id":[{"id":"10.13039\/501100005408","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["60873185"],"award-info":[{"award-number":["60873185"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2009,11,23]]},"DOI":"10.1145\/1734605.1734631","type":"proceedings-article","created":{"date-parts":[[2010,3,2]],"date-time":"2010-03-02T14:20:59Z","timestamp":1267539659000},"page":"102-106","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Applying pLSA to region-based image categorization with soft vector quantization"],"prefix":"10.1145","author":[{"given":"Hong","family":"Wu","sequence":"first","affiliation":[{"name":"University of Electronic Science and Technology of China, Chengdu, P. R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yongguo","family":"Liu","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China, Chengdu, P. R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mao","family":"Ye","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China, Chengdu, P. R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2009,11,23]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"CAIVD Workshop, ICCV (Jan.","author":"Szummer M.","year":"1998","unstructured":"Szummer , M. , and Picard , R. W . 1998 Indoor-outdoor image classification . In CAIVD Workshop, ICCV (Jan. 1998 ). Szummer, M., and Picard, R. W. 1998 Indoor-outdoor image classification. In CAIVD Workshop, ICCV (Jan. 1998)."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/83.892448"},{"key":"e_1_3_2_1_3_1","volume-title":"Proc. CIVR (March","author":"Vogel J.","year":"2004","unstructured":"Vogel , J. and Schiele , B . 2004 Natural scene retrieval based on a semantic modeling step . In Proc. CIVR (March 2004 ). Vogel, J. and Schiele, B. 2004 Natural scene retrieval based on a semantic modeling step. In Proc. CIVR (March 2004)."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1011126920638"},{"key":"e_1_3_2_1_5_1","volume-title":"Proc. CVPR, (June","author":"Varma M.","year":"2003","unstructured":"Varma , M. and Zisserman , A . 2003 Texture classification: are filter banks necessary ? In Proc. CVPR, (June 2003 ). Varma, M. and Zisserman, A. 2003 Texture classification: are filter banks necessary? In Proc. CVPR, (June 2003)."},{"key":"e_1_3_2_1_6_1","volume-title":"ICPR Workshop on Learning for Adaptable Visual Systems (UK","author":"Willamowski J.","year":"2004","unstructured":"Willamowski , J. , Arregui , D. , Csurka , G. , Dance , C. R. and Fan , L . 2004 Categorizing nine visual classes using local appearance descriptors . In ICPR Workshop on Learning for Adaptable Visual Systems (UK , August 22, 2004 ). Willamowski, J., Arregui, D., Csurka, G., Dance, C. R. and Fan, L. 2004 Categorizing nine visual classes using local appearance descriptors. In ICPR Workshop on Learning for Adaptable Visual Systems (UK, August 22, 2004)."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/11736790_8"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000029664.99615.94"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/11744085_40"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.16"},{"key":"e_1_3_2_1_12_1","first-page":"2","article-title":"Unsupervised learning by probabilistic latent semantic analysis","volume":"41","author":"Hofmann T.","year":"2001","unstructured":"Hofmann , T. 2001 Unsupervised learning by probabilistic latent semantic analysis , Machine Learning. 41 , 2 (Feb. 2001), 177--196. Hofmann, T. 2001 Unsupervised learning by probabilistic latent semantic analysis, Machine Learning. 41, 2 (Feb. 2001), 177--196.","journal-title":"Machine Learning."},{"key":"e_1_3_2_1_13_1","first-page":"1","article-title":"Latent dirichlet allocation","volume":"3","author":"Blei D.","year":"2003","unstructured":"Blei , D. , Ng , A. , Jordan , M. 2003 Latent dirichlet allocation , JMLR 3 , 1 (Jan, 2003), 993--1022. Blei, D., Ng, A., Jordan, M. 2003 Latent dirichlet allocation, JMLR 3, 1 (Jan, 2003), 993--1022.","journal-title":"JMLR"},{"key":"e_1_3_2_1_14_1","volume-title":"Proc. BMVC, (September 4--7","author":"Larlus D.","year":"2006","unstructured":"Larlus , D. , and Jurie , F . 2006 Latent mixture vocabularies for object categorization . In Proc. BMVC, (September 4--7 2006 ). Larlus, D., and Jurie, F. 2006 Latent mixture vocabularies for object categorization. In Proc. BMVC, (September 4--7 2006)."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2005.152"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/11744023_3"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/1282280.1282352"},{"key":"e_1_3_2_1_18_1","volume-title":"Proc. CVPR (June 23--28","author":"Philbin J.","year":"2008","unstructured":"Philbin , J. , Chum , O. , Isard , M. , Sivic , J. and Zisserman , A . 2008 Lost in quantization: Improving particular object retrieval in large scale image databases . In Proc. CVPR (June 23--28 , 2008 ). Philbin, J., Chum, O., Isard, M., Sivic, J. and Zisserman, A. 2008 Lost in quantization: Improving particular object retrieval in large scale image databases. In Proc. CVPR (June 23--28, 2008)."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-88690-7_52"},{"key":"e_1_3_2_1_20_1","unstructured":"Kaniza G. 1997 Grammatica del vedere. Il Mulino Kaniza G. 1997 Grammatica del vedere. Il Mulino"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF00410640"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-89689-0_32"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/0893-6080(95)00024-T"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(97)00147-0"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/1386352.1386395"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.2517-6161.1977.tb01600.x","article-title":"Maximum likelihood from incomplete data via the em algorithm","volume":"39","author":"Dempster A.","year":"1977","unstructured":"Dempster , A. , Laird , N. and Rubin , D. 1977 Maximum likelihood from incomplete data via the em algorithm . Journal of the Royal Statistical Society , 39 , 1(1977), 1 -- 38 . Dempster, A., Laird, N. and Rubin, D. 1977 Maximum likelihood from incomplete data via the em algorithm. Journal of the Royal Statistical Society, 39, 1(1977), 1--38.","journal-title":"Journal of the Royal Statistical Society"},{"key":"e_1_3_2_1_27_1","volume-title":"2006 Pattern Recognition and Machine Learning","author":"Bishop C.","unstructured":"Bishop , C. 2006 Pattern Recognition and Machine Learning . Springer . Bishop, C. 2006 Pattern Recognition and Machine Learning. Springer."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.5555\/1005332.1016789"},{"key":"e_1_3_2_1_29_1","volume-title":"Advances in Kernel Methods - Support Vector Learning. (1999) 169--184","author":"Joachims T.","unstructured":"Joachims , T. 1999 Making large-scale SVM learning practical . In Advances in Kernel Methods - Support Vector Learning. (1999) 169--184 . Cambridge, MA : MIT Press . Joachims, T. 1999 Making large-scale SVM learning practical. In Advances in Kernel Methods - Support Vector Learning. (1999) 169--184. Cambridge, MA: MIT Press."}],"event":{"name":"ICIMCS '09: The First International Conference on Internet Multimedia Computing and Service","location":"Kunming Yunnan China","acronym":"ICIMCS '09","sponsor":["SIGMM ACM Special Interest Group on Multimedia","Beijing ACM SIGMM Chapter"]},"container-title":["Proceedings of the First International Conference on Internet Multimedia Computing and Service"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1734605.1734631","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/1734605.1734631","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T08:45:36Z","timestamp":1750236336000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1734605.1734631"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009,11,23]]},"references-count":28,"alternative-id":["10.1145\/1734605.1734631","10.1145\/1734605"],"URL":"https:\/\/doi.org\/10.1145\/1734605.1734631","relation":{},"subject":[],"published":{"date-parts":[[2009,11,23]]},"assertion":[{"value":"2009-11-23","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}