{"id":"https://openalex.org/W4383750244","doi":"https://doi.org/10.1109/tai.2023.3293479","title":"O-Minus Decomposition for Multiview Tensor Subspace Clustering","display_name":"O-Minus Decomposition for Multiview Tensor Subspace Clustering","publication_year":2023,"publication_date":"2023-07-10","ids":{"openalex":"https://openalex.org/W4383750244","doi":"https://doi.org/10.1109/tai.2023.3293479"},"language":"en","primary_location":{"id":"doi:10.1109/tai.2023.3293479","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2023.3293479","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"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 Artificial Intelligence","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/A5114831959","display_name":"Yingcong Lu","orcid":"https://orcid.org/0009-0003-4216-8506"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yingcong Lu","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100610065","display_name":"Yipeng Liu","orcid":"https://orcid.org/0000-0003-2084-8781"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yipeng Liu","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101922422","display_name":"Zhen Long","orcid":"https://orcid.org/0000-0002-1772-916X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Long","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026251037","display_name":"Zhangxin Chen","orcid":"https://orcid.org/0000-0001-9085-5034"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhangxin Chen","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034427070","display_name":"Ce Zhu","orcid":"https://orcid.org/0000-0001-7607-707X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ce Zhu","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5114831959"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":3.6135,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.94180523,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"5","issue":"3","first_page":"1207","last_page":"1220"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9710999727249146,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9592999815940857,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/cluster-analysis","display_name":"Cluster analysis","score":0.7408355474472046},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.6700237989425659},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6414394378662109},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5607568025588989},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5565699934959412},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5549420714378357},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.548843264579773},{"id":"https://openalex.org/keywords/tucker-decomposition","display_name":"Tucker decomposition","score":0.5086777806282043},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.5042351484298706},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4454626441001892},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43924999237060547},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.4204327464103699},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3879242539405823},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37415963411331177},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3705676794052124},{"id":"https://openalex.org/keywords/tensor-decomposition","display_name":"Tensor decomposition","score":0.15188157558441162},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.10212793946266174}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7408355474472046},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.6700237989425659},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6414394378662109},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5607568025588989},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5565699934959412},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5549420714378357},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.548843264579773},{"id":"https://openalex.org/C42704193","wikidata":"https://www.wikidata.org/wiki/Q7851097","display_name":"Tucker decomposition","level":4,"score":0.5086777806282043},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.5042351484298706},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4454626441001892},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43924999237060547},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.4204327464103699},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3879242539405823},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37415963411331177},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3705676794052124},{"id":"https://openalex.org/C2986737658","wikidata":"https://www.wikidata.org/wiki/Q30103009","display_name":"Tensor decomposition","level":3,"score":0.15188157558441162},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.10212793946266174},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tai.2023.3293479","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2023.3293479","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"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 Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G31350730","display_name":null,"funder_award_id":"62171088","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3332268393","display_name":null,"funder_award_id":"U19A2052","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5676494580","display_name":null,"funder_award_id":"ZYGX2021YGLH215","funder_id":"https://openalex.org/F4320323292","funder_display_name":"University of Electronic Science and Technology of China"},{"id":"https://openalex.org/G5962431186","display_name":null,"funder_award_id":"62020106011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6453021123","display_name":null,"funder_award_id":"ZYGX2022YGRH005","funder_id":"https://openalex.org/F4320323292","funder_display_name":"University of Electronic Science and Technology of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323292","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W1977556410","https://openalex.org/W1986326495","https://openalex.org/W1991042426","https://openalex.org/W1997201895","https://openalex.org/W2000215628","https://openalex.org/W2024165284","https://openalex.org/W2043571470","https://openalex.org/W2197707282","https://openalex.org/W2412278696","https://openalex.org/W2431890537","https://openalex.org/W2516041031","https://openalex.org/W2565835729","https://openalex.org/W2595272553","https://openalex.org/W2604723872","https://openalex.org/W2735033384","https://openalex.org/W2737186053","https://openalex.org/W2740464254","https://openalex.org/W2741998188","https://openalex.org/W2801092217","https://openalex.org/W2808465901","https://openalex.org/W2894142921","https://openalex.org/W2896042878","https://openalex.org/W2904965361","https://openalex.org/W2921065608","https://openalex.org/W2947922459","https://openalex.org/W2949579163","https://openalex.org/W2950244530","https://openalex.org/W2953347027","https://openalex.org/W2956147459","https://openalex.org/W2963928805","https://openalex.org/W2965088710","https://openalex.org/W2981206386","https://openalex.org/W2982471955","https://openalex.org/W2997969890","https://openalex.org/W2998584138","https://openalex.org/W3000379329","https://openalex.org/W3007380221","https://openalex.org/W3012851129","https://openalex.org/W3022024046","https://openalex.org/W3038214644","https://openalex.org/W3044063956","https://openalex.org/W3080113507","https://openalex.org/W3085305372","https://openalex.org/W3093092991","https://openalex.org/W3098871729","https://openalex.org/W3103706129","https://openalex.org/W3121769020","https://openalex.org/W3122870122","https://openalex.org/W3128918602","https://openalex.org/W3130401643","https://openalex.org/W3135385719","https://openalex.org/W3149863265","https://openalex.org/W3172785200","https://openalex.org/W3173891418","https://openalex.org/W3202440455","https://openalex.org/W3208596917","https://openalex.org/W4205793477","https://openalex.org/W4213009331","https://openalex.org/W4225473713","https://openalex.org/W4226064936","https://openalex.org/W4283696279","https://openalex.org/W4283792797","https://openalex.org/W4283827931","https://openalex.org/W4292363360","https://openalex.org/W6675164516","https://openalex.org/W6717575008","https://openalex.org/W6731811539","https://openalex.org/W6773164380"],"related_works":["https://openalex.org/W4306873621","https://openalex.org/W3126714755","https://openalex.org/W2781510240","https://openalex.org/W1964486052","https://openalex.org/W2170114491","https://openalex.org/W4210310559","https://openalex.org/W2950186459","https://openalex.org/W2569661359","https://openalex.org/W2242624680","https://openalex.org/W2136127937"],"abstract_inverted_index":{"With":[0],"the":[1,6,43,50,54,83,108,114,134,146,167,180],"powerful":[2],"ability":[3],"to":[4,49,56,71,76,82,149,165],"exploit":[5],"latent":[7],"structure":[8],"of":[9,39,46,85,119,161,182,188],"self-representation":[10,47],"information,":[11,63,78,194],"multiple":[12],"off-the-shelf":[13],"low":[14],"rank":[15],"tensor":[16,23,96,109],"constraints":[17],"have":[18],"been":[19],"employed":[20],"in":[21,186],"multiview":[22,86,103],"subspace":[24],"clustering":[25],"(MTSC)":[26],"for":[27,102,171],"achieving":[28],"significant":[29],"performance.":[30],"However,":[31],"current":[32],"approaches":[33],"mainly":[34],"suffer":[35],"from":[36,136],"a":[37,94,120],"series":[38],"problems,":[40,91],"such":[41],"as":[42],"deficient":[44],"exploration":[45],"due":[48],"unbalanced":[51],"unfolding":[52],"matrices,":[53],"inability":[55],"simultaneously":[57],"capture":[58,150],"both":[59],"intraview":[60,137],"and":[61,64,138,198],"interview":[62,139],"so":[65],"forth.":[66],"All":[67],"these":[68,90],"will":[69,154],"lead":[70],"MTSC":[72],"with":[73,122],"insufficient":[74],"access":[75],"global":[77,151],"which":[79,117],"is":[80,163],"contrary":[81],"target":[84],"clustering.":[87,104],"To":[88],"alleviate":[89],"we":[92,112],"propose":[93],"new":[95],"decomposition":[97,100],"called":[98],"O-minus":[99,115],"(OMD)":[101],"Specifically,":[105],"based":[106],"on":[107,175],"ring":[110],"format,":[111],"present":[113],"structure,":[116],"consists":[118],"circle":[121],"an":[123],"efficient":[124],"bridge":[125],"linking":[126],"two":[127],"weakly":[128],"correlated":[129],"factors.":[130],"In":[131],"this":[132],"way,":[133],"information":[135,153],"can":[140],"be":[141,155],"better":[142],"obtained":[143],"simultaneously.":[144],"Moreover,":[145],"enhanced":[147],"capacity":[148],"low-rank":[152],"achieved.":[156],"The":[157],"alternating":[158],"direction":[159],"method":[160,185],"multipliers":[162],"used":[164],"solve":[166],"proposed":[168,184],"optimization":[169],"model":[170],"OMD-MVC.":[172],"Numerical":[173],"experiments":[174],"six":[176],"benchmark":[177],"datasets":[178],"demonstrate":[179],"superiority":[181],"our":[183],"terms":[187],"F-score,":[189],"precision,":[190],"recall,":[191],"normalized":[192],"mutual":[193],"adjusted":[195],"rand":[196],"index,":[197],"accuracy.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
