{"id":"https://openalex.org/W3206294656","doi":"https://doi.org/10.1109/tcsvt.2021.3119956","title":"Generalized Multi-View Collaborative Subspace Clustering","display_name":"Generalized Multi-View Collaborative Subspace Clustering","publication_year":2021,"publication_date":"2021-10-15","ids":{"openalex":"https://openalex.org/W3206294656","doi":"https://doi.org/10.1109/tcsvt.2021.3119956","mag":"3206294656"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2021.3119956","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2021.3119956","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"},"type":"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/A5009052131","display_name":"Mengcheng Lan","orcid":"https://orcid.org/0000-0002-3311-0295"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengcheng Lan","raw_affiliation_strings":["Department of Computer Science, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3311-0295","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048763159","display_name":"Min Meng","orcid":"https://orcid.org/0000-0002-5107-5585"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Meng","raw_affiliation_strings":["Department of Computer Science, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5107-5585","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050817770","display_name":"Jun Yu","orcid":"https://orcid.org/0000-0003-1922-7283"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Yu","raw_affiliation_strings":["School of Computer Science, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1922-7283","affiliations":[{"raw_affiliation_string":"School of Computer Science, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060755096","display_name":"Jigang Wu","orcid":"https://orcid.org/0000-0002-6470-9794"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jigang Wu","raw_affiliation_strings":["Department of Computer Science, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6470-9794","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.015,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.929519,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"32","issue":"6","first_page":"3561","last_page":"3574"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9966999888420105,"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/T10057","display_name":"Face and Expression Recognition","score":0.9966999888420105,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9934999942779541,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9842000007629395,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.7478978037834167},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7135103940963745},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6455627679824829},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.566895604133606},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5481838583946228},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5242619514465332},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49700406193733215},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4880741834640503},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4534587264060974},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.44360631704330444},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4407283067703247},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4097874164581299},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3740091323852539},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22620421648025513}],"concepts":[{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7478978037834167},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7135103940963745},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6455627679824829},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.566895604133606},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5481838583946228},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5242619514465332},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49700406193733215},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4880741834640503},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4534587264060974},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.44360631704330444},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4407283067703247},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4097874164581299},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3740091323852539},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22620421648025513},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2021.3119956","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2021.3119956","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.5,"id":"https://metadata.un.org/sdg/17"}],"awards":[{"id":"https://openalex.org/G1335214334","display_name":null,"funder_award_id":"62172109","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G558307529","display_name":"\u5206\u5e03\u5f0f\u8fb9\u7f18\u8bad\u7ec3\u52a8\u6001\u8ba1\u7b97\u73af\u5883\u4e0b\u670d\u52a1\u8d28\u91cf\u4fdd\u969c\u7814\u7a76","funder_award_id":"62072118","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6151690139","display_name":null,"funder_award_id":"62020106007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7528510259","display_name":"\u57fa\u4e8e\u5927\u89c4\u6a21\u8de8\u5a92\u4f53\u77e5\u8bc6\u7f51\u7edc\u7684\u590d\u6742\u89c6\u9891\u95ee\u7b54\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61836002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8864318650","display_name":null,"funder_award_id":"2020A1515011361","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W201974436","https://openalex.org/W297461772","https://openalex.org/W1600471557","https://openalex.org/W1638081485","https://openalex.org/W1670132599","https://openalex.org/W1902027874","https://openalex.org/W1907775068","https://openalex.org/W1972702299","https://openalex.org/W1993962865","https://openalex.org/W1997201895","https://openalex.org/W2029257328","https://openalex.org/W2045512849","https://openalex.org/W2103972604","https://openalex.org/W2113333558","https://openalex.org/W2142674578","https://openalex.org/W2155904486","https://openalex.org/W2181159407","https://openalex.org/W2197707282","https://openalex.org/W2199534117","https://openalex.org/W2468752595","https://openalex.org/W2565835729","https://openalex.org/W2604723872","https://openalex.org/W2737186053","https://openalex.org/W2787885212","https://openalex.org/W2804621678","https://openalex.org/W2896169497","https://openalex.org/W2897402090","https://openalex.org/W2898233200","https://openalex.org/W2903938664","https://openalex.org/W2904419448","https://openalex.org/W2906529026","https://openalex.org/W2963517422","https://openalex.org/W2965174731","https://openalex.org/W2965510190","https://openalex.org/W2965787265","https://openalex.org/W2965970896","https://openalex.org/W2978851846","https://openalex.org/W2993585638","https://openalex.org/W2996771119","https://openalex.org/W3007380221","https://openalex.org/W3010318487","https://openalex.org/W3021342796","https://openalex.org/W3035751812","https://openalex.org/W3089039599","https://openalex.org/W3091075457","https://openalex.org/W3100247080","https://openalex.org/W3100993552","https://openalex.org/W3120807512","https://openalex.org/W3122870122","https://openalex.org/W3128918602","https://openalex.org/W3145074154","https://openalex.org/W3149863265","https://openalex.org/W3169978599","https://openalex.org/W3206460183","https://openalex.org/W4213009331","https://openalex.org/W4235327360","https://openalex.org/W6636883489","https://openalex.org/W6684578312","https://openalex.org/W6731815755","https://openalex.org/W6767624375","https://openalex.org/W6776535907","https://openalex.org/W6929385289"],"related_works":["https://openalex.org/W3100286349","https://openalex.org/W2896134808","https://openalex.org/W4289378085","https://openalex.org/W4294291164","https://openalex.org/W3172436493","https://openalex.org/W1887135636","https://openalex.org/W4287164812","https://openalex.org/W2386063599","https://openalex.org/W1975884855","https://openalex.org/W3213150849"],"abstract_inverted_index":{"In":[0,61],"real-world":[1],"applications,":[2],"complete":[3,122],"or":[4],"incomplete":[5,58],"multi-view":[6,17,127],"data":[7],"are":[8,42,94],"common,":[9],"which":[10,34,81,114,149],"leads":[11],"to":[12,22,75,97],"the":[13,24,28,48,54,77,121,136,143,152,159,177,183],"problem":[14,153],"of":[15,85,119,146,154,161],"generalized":[16],"clustering.":[18],"Recently,":[19],"researchers":[20],"attempt":[21],"learn":[23],"latent":[25],"representation":[26,165],"in":[27,80],"common":[29],"subspace":[30,50,83,107,123],"from":[31,37,57,126],"heterogeneous":[32],"data,":[33],"usually":[35],"suffers":[36],"feature":[38,155],"degeneration.":[39],"Moreover,":[40],"there":[41],"limited":[43],"efforts":[44],"on":[45,111,171],"simultaneously":[46],"revealing":[47],"underlying":[49],"structure":[51,84,124],"and":[52,88,141,157],"exploring":[53],"complementary":[55,132],"information":[56,133,145],"multiple":[59,167],"views.":[60,168],"this":[62],"paper,":[63],"we":[64,102,130],"introduce":[65],"a":[66,104,116,163],"novel":[67,105],"Generalized":[68],"Multi-view":[69],"Collaborative":[70],"Subspace":[71],"Clustering":[72],"(GMCSC)":[73],"framework":[74],"address":[76],"above":[78],"issues,":[79],"consensus":[82,164],"all":[86],"views":[87,140],"embedding":[89],"subspaces":[90],"for":[91,166],"each":[92,99,147],"view":[93],"jointly":[95],"learned":[96],"benefit":[98],"other.":[100],"Specifically,":[101],"develop":[103],"collaborative":[106],"learning":[108],"strategy":[109],"based":[110],"self-representation":[112],"learning,":[113],"provides":[115],"brand-new":[117],"way":[118],"pursuing":[120],"directly":[125],"data.":[128],"Furthermore,":[129],"explore":[131],"by":[134],"enforcing":[135],"consistency":[137],"across":[138],"different":[139],"preserving":[142],"view-specific":[144],"view,":[148],"can":[150,180],"alleviate":[151],"degeneration":[156],"enhance":[158],"reasonability":[160],"using":[162],"Experimental":[169],"results":[170],"six":[172],"benchmark":[173],"datasets":[174],"demonstrate":[175],"that":[176],"proposed":[178],"method":[179],"significantly":[181],"outperform":[182],"state-of-the-art":[184],"algorithms.":[185]},"counts_by_year":[{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}