{"id":"https://openalex.org/W4406857619","doi":"https://doi.org/10.1109/tmm.2025.3535402","title":"Asymptotics-Aware Multi-View Subspace Clustering","display_name":"Asymptotics-Aware Multi-View Subspace Clustering","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406857619","doi":"https://doi.org/10.1109/tmm.2025.3535402"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2025.3535402","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2025.3535402","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5066149206","display_name":"Yesong Xu","orcid":"https://orcid.org/0000-0002-1638-3697"},"institutions":[{"id":"https://openalex.org/I70908550","display_name":"Anhui Polytechnic University","ror":"https://ror.org/041sj0284","country_code":"CN","type":"education","lineage":["https://openalex.org/I70908550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yesong Xu","raw_affiliation_strings":["School of Computer and Information, Anhui Polytechnic University Wuhu, China","School of Computer and Information, Anhui Polytechnic University, Wuhu, China"],"raw_orcid":"https://orcid.org/0000-0002-1638-3697","affiliations":[{"raw_affiliation_string":"School of Computer and Information, Anhui Polytechnic University Wuhu, China","institution_ids":["https://openalex.org/I70908550"]},{"raw_affiliation_string":"School of Computer and Information, Anhui Polytechnic University, Wuhu, China","institution_ids":["https://openalex.org/I70908550"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Shuo Chen","orcid":"https://orcid.org/0000-0001-8140-0409"},"institutions":[{"id":"https://openalex.org/I308837","display_name":"Suzhou University of Science and Technology","ror":"https://ror.org/04en8wb91","country_code":"CN","type":"education","lineage":["https://openalex.org/I308837"]},{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]},{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN","JP"],"is_corresponding":false,"raw_author_name":"Shuo Chen","raw_affiliation_strings":["School of Intelligence Science and Technology, Nanjing University, Suzhou, China","RIKEN Center for Advanced Intelligence Project, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0001-8140-0409","affiliations":[{"raw_affiliation_string":"School of Intelligence Science and Technology, Nanjing University, Suzhou, China","institution_ids":["https://openalex.org/I308837","https://openalex.org/I881766915"]},{"raw_affiliation_string":"RIKEN Center for Advanced Intelligence Project, Tokyo, Japan","institution_ids":["https://openalex.org/I4210126580"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jun Li","orcid":"https://orcid.org/0000-0001-5845-8602"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Li","raw_affiliation_strings":["PCA Laboratory, Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-5845-8602","affiliations":[{"raw_affiliation_string":"PCA Laboratory, Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jian Yang","orcid":"https://orcid.org/0000-0003-4800-832X"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Yang","raw_affiliation_strings":["PCA Laboratory, Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-4800-832X","affiliations":[{"raw_affiliation_string":"PCA Laboratory, Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":15.3559,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.98801331,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"27","issue":null,"first_page":"3650","last_page":"3663"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9262999892234802,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.8137441277503967},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6636666059494019},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5855053067207336},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3875955045223236},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3826570212841034}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8137441277503967},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6636666059494019},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5855053067207336},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3875955045223236},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3826570212841034}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2025.3535402","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2025.3535402","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2767658523","display_name":null,"funder_award_id":"62302011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7375162941","display_name":null,"funder_award_id":"62361166670","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7566429426","display_name":"\u5168\u53c2\u6570\u5316\u5b66\u4e60\u7684\u5b50\u7a7a\u95f4\u805a\u7c7b\u65b9\u6cd5\u53ca\u5e94\u7528\u7814\u7a76","funder_award_id":"62072242","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W297461772","https://openalex.org/W1993962865","https://openalex.org/W1997201895","https://openalex.org/W2089497633","https://openalex.org/W2128728535","https://openalex.org/W2130506100","https://openalex.org/W2133111499","https://openalex.org/W2145962650","https://openalex.org/W2183341477","https://openalex.org/W2199534117","https://openalex.org/W2565835729","https://openalex.org/W2737186053","https://openalex.org/W2741178908","https://openalex.org/W2741998188","https://openalex.org/W2748391982","https://openalex.org/W2797653144","https://openalex.org/W2809034148","https://openalex.org/W2896169497","https://openalex.org/W2963885538","https://openalex.org/W2997739739","https://openalex.org/W3015899030","https://openalex.org/W3025752507","https://openalex.org/W3044063956","https://openalex.org/W3072262295","https://openalex.org/W3080113507","https://openalex.org/W3103988127","https://openalex.org/W3112808477","https://openalex.org/W3132532642","https://openalex.org/W3135754249","https://openalex.org/W3163957165","https://openalex.org/W3173972271","https://openalex.org/W3175713161","https://openalex.org/W3181419498","https://openalex.org/W3198796546","https://openalex.org/W4214876032","https://openalex.org/W4225473713","https://openalex.org/W4250657332","https://openalex.org/W4282934663","https://openalex.org/W4283797473","https://openalex.org/W4283827931","https://openalex.org/W4287891019","https://openalex.org/W4290927762","https://openalex.org/W4292263874","https://openalex.org/W4296746587","https://openalex.org/W4307501835","https://openalex.org/W4316021943","https://openalex.org/W4320713010","https://openalex.org/W4327524127","https://openalex.org/W4378804891","https://openalex.org/W4380300753","https://openalex.org/W4385764502","https://openalex.org/W4388820108","https://openalex.org/W6762833281","https://openalex.org/W6840285518","https://openalex.org/W6929385289"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W1980381208","https://openalex.org/W2364594919","https://openalex.org/W2167092671","https://openalex.org/W1861706286","https://openalex.org/W2390279801","https://openalex.org/W2219338811","https://openalex.org/W2149583853"],"abstract_inverted_index":{"Recently,":[0],"multi-view":[1,14,38,83,156,210,229],"subspace":[2,230],"clustering":[3,231],"has":[4],"attracted":[5],"extensive":[6,213],"attention":[7],"due":[8],"to":[9,27,103,119,134,144,167,186],"the":[10,36,52,65,69,82,116,122,136,140,154,182,196,206,217,227],"rapid":[11],"increase":[12],"of":[13,23,32,49,64,153,209,219],"data":[15,117],"in":[16,109],"many":[17],"real-world":[18],"applications.":[19],"The":[20],"main":[21],"goal":[22],"this":[24,87],"task":[25],"is":[26],"learn":[28,168],"a":[29,76,91,105,110,145,163,169,175],"common":[30],"representation":[31,80,108,166,199],"multiple":[33,47,202],"subspaces":[34],"from":[35],"given":[37],"data,":[39,66],"and":[40,67,139,178],"most":[41],"existing":[42],"methods":[43],"usually":[44],"directly":[45],"merge":[46],"groups":[48],"features":[50],"by":[51],"single-step":[53,71],"integration.":[54],"However,":[55],"there":[56],"may":[57],"exist":[58],"large":[59],"disparities":[60],"among":[61],"different":[62],"views":[63],"thus":[68],"conventional":[70],"practice":[72],"can":[73],"hardly":[74],"obtain":[75],"generally":[77],"consistent":[78,106,146],"feature":[79,107,137,147,165],"for":[81,149],"data.":[84,157,211],"To":[85],"overcome":[86],"challenge,":[88],"we":[89,128,160,179,193],"present":[90],"novel":[92],"approach":[93],"dubbed":[94],"\u201cAsymptotics-Aware":[95],"Multi-view":[96],"Subspace":[97],"Clustering":[98],"(A<inline-formula":[99],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[100,223],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[101,224],"notation=\"LaTeX\">$^{2}$</tex-math></inline-formula>MSC)\u201d":[102],"pursue":[104],"multi-step":[111],"way,":[112],"which":[113],"iteratively":[114],"conducts":[115],"recovery":[118],"gradually":[120],"reduce":[121],"differences":[123],"between":[124],"pairwise":[125],"views.":[126],"Specifically,":[127],"construct":[129],"an":[130],"asymptotic":[131,198],"learning":[132],"rule":[133],"update":[135],"representation,":[138],"iteration":[141],"result":[142],"converges":[143],"vector":[148],"characterizing":[150],"each":[151],"instance":[152],"original":[155],"After":[158],"that,":[159],"utilize":[161],"such":[162],"new":[164],"clustering-oriented":[170],"similarity":[171],"matrix":[172],"via":[173],"minimizing":[174],"self-expressive":[176],"objective,":[177],"also":[180],"design":[181],"corresponding":[183],"optimization":[184],"algorithm":[185],"solve":[187],"it":[188],"with":[189],"convergence":[190],"guarantees.":[191],"Theoretically,":[192],"prove":[194],"that":[195],"learned":[197],"effectively":[200],"integrates":[201],"views,":[203],"thereby":[204],"ensuring":[205],"effective":[207],"handling":[208],"Empirically,":[212],"experimental":[214],"results":[215],"demonstrate":[216],"superiority":[218],"our":[220],"proposed":[221],"A<inline-formula":[222],"notation=\"LaTeX\">$^{2}$</tex-math></inline-formula>MSC":[225],"over":[226],"state-of-the-art":[228],"approaches.":[232]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
