{"id":"https://openalex.org/W4405717824","doi":"https://doi.org/10.1109/tmm.2024.3521754","title":"Fast Disentangled Slim Tensor Learning for Multi-View Clustering","display_name":"Fast Disentangled Slim Tensor Learning for Multi-View Clustering","publication_year":2024,"publication_date":"2024-12-23","ids":{"openalex":"https://openalex.org/W4405717824","doi":"https://doi.org/10.1109/tmm.2024.3521754"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2024.3521754","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3521754","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":null,"display_name":"Deng Xu","orcid":"https://orcid.org/0009-0000-0690-9977"},"institutions":[{"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"],"is_corresponding":false,"raw_author_name":"Deng Xu","raw_affiliation_strings":["Department of Control Science and Intelligence Engineering, Nanjing University, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0000-0690-9977","affiliations":[{"raw_affiliation_string":"Department of Control Science and Intelligence Engineering, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chao Zhang","orcid":"https://orcid.org/0000-0002-5929-0853"},"institutions":[{"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"],"is_corresponding":false,"raw_author_name":"Chao Zhang","raw_affiliation_strings":["Department of Control Science and Intelligence Engineering, Nanjing University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-5929-0853","affiliations":[{"raw_affiliation_string":"Department of Control Science and Intelligence Engineering, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017096005","display_name":"Zechao Li","orcid":"https://orcid.org/0000-0002-5341-5985"},"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":"Zechao Li","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-5341-5985","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100697167","display_name":"Chunlin Chen","orcid":"https://orcid.org/0000-0003-3929-4707"},"institutions":[{"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"],"is_corresponding":false,"raw_author_name":"Chunlin Chen","raw_affiliation_strings":["Department of Control Science and Intelligence Engineering, Nanjing University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-3929-4707","affiliations":[{"raw_affiliation_string":"Department of Control Science and Intelligence Engineering, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076835782","display_name":"Huaxiong Li","orcid":"https://orcid.org/0000-0003-0395-1525"},"institutions":[{"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"],"is_corresponding":false,"raw_author_name":"Huaxiong Li","raw_affiliation_strings":["Department of Control Science and Intelligence Engineering, Nanjing University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-0395-1525","affiliations":[{"raw_affiliation_string":"Department of Control Science and Intelligence Engineering, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2495,"currency":"USD","value_usd":2495},"apc_paid":null,"fwci":3.8131,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.95085509,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"27","issue":null,"first_page":"1254","last_page":"1265"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9837999939918518,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9837999939918518,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9710000157356262,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9646000266075134,"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/computer-science","display_name":"Computer science","score":0.8167833089828491},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6451919674873352},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5492447018623352},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39116767048835754},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3211214542388916},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09321564435958862}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8167833089828491},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6451919674873352},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5492447018623352},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39116767048835754},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3211214542388916},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09321564435958862},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2024.3521754","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3521754","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":[{"id":"https://metadata.un.org/sdg/10","score":0.6600000262260437,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G3167588430","display_name":null,"funder_award_id":"62276136","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7233452540","display_name":null,"funder_award_id":"62176116","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7996831764","display_name":null,"funder_award_id":"62073160","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":54,"referenced_works":["https://openalex.org/W1992426838","https://openalex.org/W2007972815","https://openalex.org/W2065030431","https://openalex.org/W2080843093","https://openalex.org/W2145962650","https://openalex.org/W2152161678","https://openalex.org/W2344260814","https://openalex.org/W2405459681","https://openalex.org/W2565835729","https://openalex.org/W2887425327","https://openalex.org/W2898233200","https://openalex.org/W2906217954","https://openalex.org/W2914816584","https://openalex.org/W2949579163","https://openalex.org/W2963885538","https://openalex.org/W2983762999","https://openalex.org/W3007380221","https://openalex.org/W3047358409","https://openalex.org/W3090103671","https://openalex.org/W3095709006","https://openalex.org/W3151867486","https://openalex.org/W3160166991","https://openalex.org/W3197314389","https://openalex.org/W3205485865","https://openalex.org/W3216549632","https://openalex.org/W4200226646","https://openalex.org/W4212873158","https://openalex.org/W4214544745","https://openalex.org/W4283827931","https://openalex.org/W4285117216","https://openalex.org/W4288064731","https://openalex.org/W4290927762","https://openalex.org/W4313306350","https://openalex.org/W4313377934","https://openalex.org/W4360753265","https://openalex.org/W4361859495","https://openalex.org/W4365790378","https://openalex.org/W4382202887","https://openalex.org/W4382202889","https://openalex.org/W4382202985","https://openalex.org/W4382371088","https://openalex.org/W4382998913","https://openalex.org/W4383751870","https://openalex.org/W4385864334","https://openalex.org/W4386232346","https://openalex.org/W4387968004","https://openalex.org/W4388505174","https://openalex.org/W4393160318","https://openalex.org/W4394994616","https://openalex.org/W4396214972","https://openalex.org/W4401043274","https://openalex.org/W4402776186","https://openalex.org/W6714133674","https://openalex.org/W7075742223"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"Tensor-based":[0],"multi-view":[1,97,104,114],"clustering":[2],"has":[3],"recently":[4],"received":[5],"significant":[6],"attention":[7],"due":[8],"to":[9,13,40],"its":[10],"exceptional":[11],"ability":[12],"explore":[14,30],"cross-view":[15],"high-order":[16,111],"correlations.":[17],"However,":[18],"most":[19],"existing":[20],"methods":[21,46],"still":[22],"encounter":[23],"some":[24,45],"limitations.":[25],"(1)":[26],"Most":[27],"of":[28,73,100,127,165,198],"them":[29,38],"the":[31,70,103,110,124,136,163,168,194],"correlations":[32,112],"among":[33,113],"different":[34],"affinity":[35],"matrices,":[36],"making":[37],"unscalable":[39],"large-scale":[41],"data.":[42],"(2)":[43],"Although":[44],"address":[47],"it":[48],"by":[49,60,131],"introducing":[50],"bipartite":[51],"graphs,":[52],"they":[53],"may":[54],"result":[55],"in":[56,77],"sub-optimal":[57],"solutions":[58],"caused":[59],"an":[61],"unstable":[62],"anchor":[63],"selection":[64],"process.":[65],"(3)":[66],"They":[67],"generally":[68],"ignore":[69],"negative":[71,125],"impact":[72],"latent":[74,115,137],"semantic-unrelated":[75,142],"information":[76],"each":[78,149],"view.":[79,150],"To":[80,122,160],"tackle":[81],"these":[82],"issues,":[83],"we":[84],"propose":[85],"a":[86,141,145,176],"new":[87],"approach":[88],"termed":[89],"fast":[90],"Disentangled":[91],"Slim":[92],"Tensor":[93],"Learning":[94],"(DSTL)":[95],"for":[96,148],"clustering.":[98],"Instead":[99],"focusing":[101],"on":[102,119],"graph":[105],"structures,":[106],"DSTL":[107,134,199],"directly":[108],"explores":[109],"semantic":[116],"representations":[117,170],"based":[118],"matrix":[120],"factorization.":[121],"alleviate":[123],"influence":[126],"feature":[128,166],"redundancy,":[129],"inspired":[130],"robust":[132],"PCA,":[133],"disentangles":[135],"low-dimensional":[138],"representation":[139],"into":[140],"part":[143,147],"and":[144,186,196],"semantic-related":[146,169],"Subsequently,":[151],"two":[152],"slim":[153],"tensors":[154],"are":[155,171],"constructed":[156],"with":[157],"tensor-based":[158],"regularization.":[159],"further":[161],"enhance":[162],"quality":[164],"disentanglement,":[167],"aligned":[172],"across":[173],"views":[174],"through":[175],"consensus":[177],"alignment":[178],"indicator.":[179],"Our":[180],"proposed":[181],"model":[182],"is":[183],"computationally":[184],"efficient":[185],"can":[187],"be":[188],"solved":[189],"effectively.":[190],"Extensive":[191],"experiments":[192],"demonstrate":[193],"superiority":[195],"efficiency":[197],"over":[200],"state-of-the-art":[201],"approaches.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":14},{"year":2025,"cited_by_count":11}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
