{"id":"https://openalex.org/W1985862272","doi":"https://doi.org/10.1145/1873951.1874098","title":"Unsupervised object category discovery via information bottleneck method","display_name":"Unsupervised object category discovery via information bottleneck method","publication_year":2010,"publication_date":"2010-10-25","ids":{"openalex":"https://openalex.org/W1985862272","doi":"https://doi.org/10.1145/1873951.1874098","mag":"1985862272"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/1873951.1874098","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044240623","display_name":"Zhengzheng Lou","orcid":"https://orcid.org/0000-0002-6902-5260"},"institutions":[{"id":"https://openalex.org/I4210094772","display_name":"Henan University of Engineering","ror":"https://ror.org/007wym039","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210094772"]},{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"funder","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengzheng Lou","raw_affiliation_strings":["School of Information Engineering, Zhengzhou University, Henan, China."],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Zhengzhou University, Henan, China.","institution_ids":["https://openalex.org/I4210094772","https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045940041","display_name":"Yangdong Ye","orcid":"https://orcid.org/0000-0001-7027-8313"},"institutions":[{"id":"https://openalex.org/I4210094772","display_name":"Henan University of Engineering","ror":"https://ror.org/007wym039","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210094772"]},{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"funder","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangdong Ye","raw_affiliation_strings":["School of Information Engineering, Zhengzhou University, Henan, China."],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Zhengzhou University, Henan, China.","institution_ids":["https://openalex.org/I4210094772","https://openalex.org/I38877650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100407381","display_name":"Dong Liu","orcid":"https://orcid.org/0000-0001-9100-2906"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"funder","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Liu","raw_affiliation_strings":["School of Computer Sci. & Tec., Harbin Insitute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Sci. & Tec., Harbin Insitute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.602,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":9,"citation_normalized_percentile":{"value":0.706877,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":83,"max":84},"biblio":{"volume":null,"issue":null,"first_page":"863","last_page":"866"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9993,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.999,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/information-bottleneck-method","display_name":"Information bottleneck method","score":0.910058},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.592052},{"id":"https://openalex.org/keywords/representation","display_name":"Representation","score":0.5696532}],"concepts":[{"id":"https://openalex.org/C60008888","wikidata":"https://www.wikidata.org/wiki/Q6031013","display_name":"Information bottleneck method","level":3,"score":0.910058},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.7529027},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.72676605},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.659361},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.60504633},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.592052},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5696532},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5273662},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5199067},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.46343073},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.24555078},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/1873951.1874098","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.48}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":14,"referenced_works":["https://openalex.org/W1625255723","https://openalex.org/W1686946872","https://openalex.org/W1972442292","https://openalex.org/W2010425028","https://openalex.org/W2020636921","https://openalex.org/W2103658758","https://openalex.org/W2103723258","https://openalex.org/W2119474464","https://openalex.org/W2121947440","https://openalex.org/W2130623086","https://openalex.org/W2134665698","https://openalex.org/W2151103935","https://openalex.org/W2156919418","https://openalex.org/W2171896402"],"related_works":["https://openalex.org/W4401325445","https://openalex.org/W4295728955","https://openalex.org/W4285254085","https://openalex.org/W3129794609","https://openalex.org/W3089381707","https://openalex.org/W3034190530","https://openalex.org/W2949033103","https://openalex.org/W2741297526","https://openalex.org/W2622284819","https://openalex.org/W1504394672"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,11,67,113],"novel":[3],"approach":[4],"to":[5,41,80,126],"automatically":[6],"discover":[7],"object":[8,83,130],"categories":[9],"from":[10],"collection":[12,32],"of":[13,29,71,121],"unlabeled":[14],"images.":[15],"This":[16],"is":[17,78,112,124],"achieved":[18],"by":[19,33,57,85],"the":[20,26,30,36,42,47,53,58,75,82,87,91,108,118,127],"Information":[21,109],"Bottleneck":[22,110],"method,":[23,52],"which":[24,61],"finds":[25],"optimal":[27],"partitioning":[28],"image":[31,48,65,104],"maximally":[34],"preserving":[35],"relevant":[37],"information":[38],"with":[39],"respect":[40],"latent":[43],"semantic":[44,88,120],"residing":[45],"in":[46],"contents.":[49],"In":[50],"this":[51],"images":[54,92],"are":[55],"modeled":[56],"Bag-of-Words":[59],"representation,":[60],"naturally":[62],"transforms":[63],"each":[64],"into":[66],"visual":[68,72,96],"document":[69],"composed":[70],"words.":[73,97],"Then":[74],"sIB":[76],"algorithm":[77],"adopted":[79],"learn":[81],"patterns":[84],"maximizing":[86],"correlations":[89],"between":[90],"and":[93,123],"their":[94],"constructive":[95],"Extensive":[98],"experimental":[99],"results":[100],"on":[101],"15":[102],"benchmark":[103],"datasets":[105],"show":[106],"that":[107],"method":[111],"promising":[114],"technique":[115],"for":[116],"discovering":[117],"hidden":[119],"images,":[122],"superior":[125],"state-of-the-art":[128],"unsupervised":[129],"category":[131],"discovery":[132],"methods.":[133]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W1985862272","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2025-02-16T03:25:09.573907","created_date":"2016-06-24"}