{"id":"https://openalex.org/W4387249847","doi":"https://doi.org/10.1109/tmm.2023.3321499","title":"Robust Tensor Recovery for Incomplete Multi-View Clustering","display_name":"Robust Tensor Recovery for Incomplete Multi-View Clustering","publication_year":2023,"publication_date":"2023-10-02","ids":{"openalex":"https://openalex.org/W4387249847","doi":"https://doi.org/10.1109/tmm.2023.3321499"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2023.3321499","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2023.3321499","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/A5045551260","display_name":"Qiangqiang Shen","orcid":"https://orcid.org/0000-0002-3564-6042"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiangqiang Shen","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology Shenzhen, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-3564-6042","affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100665671","display_name":"Tingting Xu","orcid":"https://orcid.org/0000-0002-9589-1349"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting Xu","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology Shenzhen, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-9589-1349","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100657559","display_name":"Yongsheng Liang","orcid":"https://orcid.org/0000-0002-0891-5577"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongsheng Liang","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology Shenzhen, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-0891-5577","affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031480448","display_name":"Yongyong Chen","orcid":"https://orcid.org/0000-0003-1970-1993"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongyong Chen","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology Shenzhen, Shenzhen, China","Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies, Harbin Institute of Technology Shenzhen, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-1970-1993","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]},{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies, Harbin Institute of Technology Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100740564","display_name":"Zhenyu He","orcid":"https://orcid.org/0000-0002-2546-8721"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyu He","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology Shenzhen, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-2546-8721","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.3247,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.97353106,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"26","issue":null,"first_page":"3856","last_page":"3870"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994000196456909,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9940999746322632,"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/T12303","display_name":"Tensor decomposition and applications","score":0.9940000176429749,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7262073755264282},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6892951726913452},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5835179090499878},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5777426958084106},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.5738136768341064},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4749619662761688},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.4525451362133026},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43379196524620056},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.43347200751304626},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4323252737522125},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.42424216866493225},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.41134777665138245},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.39641016721725464},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3825089931488037},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35596245527267456},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2663286030292511},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25739574432373047},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.12295621633529663},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.11458137631416321}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7262073755264282},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6892951726913452},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5835179090499878},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5777426958084106},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.5738136768341064},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4749619662761688},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.4525451362133026},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43379196524620056},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.43347200751304626},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4323252737522125},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.42424216866493225},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.41134777665138245},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.39641016721725464},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3825089931488037},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35596245527267456},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2663286030292511},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25739574432373047},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.12295621633529663},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.11458137631416321},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2023.3321499","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2023.3321499","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":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7099999785423279}],"awards":[{"id":"https://openalex.org/G1570251590","display_name":null,"funder_award_id":"62106063","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3911502178","display_name":null,"funder_award_id":"2022A1515010819","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G8212228297","display_name":null,"funder_award_id":"62031013","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"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W1879834137","https://openalex.org/W2019885956","https://openalex.org/W2024165284","https://openalex.org/W2103972604","https://openalex.org/W2130315403","https://openalex.org/W2138466375","https://openalex.org/W2148558079","https://openalex.org/W2150394469","https://openalex.org/W2181159407","https://openalex.org/W2281948289","https://openalex.org/W2742098698","https://openalex.org/W2756626360","https://openalex.org/W2808201035","https://openalex.org/W2891893703","https://openalex.org/W2893652381","https://openalex.org/W2896169497","https://openalex.org/W2904419448","https://openalex.org/W2906217954","https://openalex.org/W2906529026","https://openalex.org/W2945288617","https://openalex.org/W2963517422","https://openalex.org/W2963885538","https://openalex.org/W2964809302","https://openalex.org/W2972366341","https://openalex.org/W2982317909","https://openalex.org/W2989773826","https://openalex.org/W2997739739","https://openalex.org/W2998358581","https://openalex.org/W3021342796","https://openalex.org/W3035318978","https://openalex.org/W3044063956","https://openalex.org/W3047358409","https://openalex.org/W3091879728","https://openalex.org/W3093207983","https://openalex.org/W3136737181","https://openalex.org/W3140079845","https://openalex.org/W3154138201","https://openalex.org/W3163957165","https://openalex.org/W3168316785","https://openalex.org/W3176728172","https://openalex.org/W3182881260","https://openalex.org/W3197314389","https://openalex.org/W3199715002","https://openalex.org/W3200696353","https://openalex.org/W3203289427","https://openalex.org/W3206460183","https://openalex.org/W3217558487","https://openalex.org/W4210335338","https://openalex.org/W4212834658","https://openalex.org/W4214876032","https://openalex.org/W4220873374","https://openalex.org/W4225877894","https://openalex.org/W4230962939","https://openalex.org/W4289535947","https://openalex.org/W4290713716","https://openalex.org/W4292363360","https://openalex.org/W4313041774","https://openalex.org/W6674764686","https://openalex.org/W6675164516","https://openalex.org/W6695692787","https://openalex.org/W6762833281"],"related_works":["https://openalex.org/W2950186459","https://openalex.org/W2170114491","https://openalex.org/W2897298721","https://openalex.org/W2242624680","https://openalex.org/W2136127937","https://openalex.org/W4290987221","https://openalex.org/W2216309014","https://openalex.org/W2569661359","https://openalex.org/W3199841771","https://openalex.org/W4286971555"],"abstract_inverted_index":{"Incomplete":[0,76],"multi-view":[1,41],"clustering":[2,166],"is":[3],"gaining":[4],"increased":[5],"attention":[6],"owing":[7],"to":[8,36,106,128,167],"its":[9],"great":[10],"success":[11],"in":[12,52,61,140,151],"mining":[13],"underlying":[14],"information":[15],"from":[16],"the":[17,21,37,49,53,57,83,87,94,130,141,152,161,176],"missing":[18],"views.":[19],"However,":[20],"existing":[22],"approaches":[23],"still":[24],"encounter":[25],"two":[26],"issues:":[27],"1)":[28],"They":[29,46],"generally":[30],"do":[31],"not":[32],"give":[33],"sufficient":[34],"consideration":[35],"robustness":[38],"of":[39,179],"incomplete":[40],"data":[42],"with":[43],"noise;":[44],"2)":[45],"only":[47],"exploit":[48],"low-rank":[50,58,96,136,138,149],"structures":[51,139,150],"intra-view":[54,153],"graphs,":[55],"while":[56],"priors":[59],"embedded":[60],"inter-view":[62,142],"graphs":[63,109,143,154],"are":[64],"ignored.":[65],"To":[66],"this":[67],"end,":[68],"we":[69,122,159],"propose":[70],"a":[71,102,113,124,169],"Robust":[72],"Tensor":[73],"Recovery":[74],"for":[75],"Multi-view":[77],"Clustering":[78],"(RIMC)":[79],"method,":[80],"which":[81],"transforms":[82],"view-missing":[84],"problem":[85,91],"into":[86],"tensor":[88,114,126,131,162],"graph":[89,115,132],"recovery":[90],"by":[92,116,133],"manipulating":[93],"comprehensive":[95,135],"priors.":[97],"Specifically,":[98],"RIMC":[99],"first":[100],"employs":[101],"marginalized":[103],"denoising":[104],"operation":[105],"construct":[107],"robust":[108,119],"and":[110,146,164],"further":[111],"builds":[112],"stacking":[117],"these":[118],"graphs.":[120],"Then,":[121],"develop":[123],"novel":[125],"completion":[127,163],"recover":[129],"performing":[134],"priors:":[137],"(i.e.,":[144,155],"horizontal":[145],"lateral":[147],"slices);":[148],"frontal":[156],"slices).":[157],"Meanwhile,":[158],"integrate":[160],"spectral":[165],"learn":[168],"unified":[170],"indicator":[171],"matrix.":[172],"Extensive":[173],"experiments":[174],"show":[175],"promising":[177],"performance":[178],"our":[180],"method.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}