{"id":"https://openalex.org/W4226080957","doi":"https://doi.org/10.1109/tcsvt.2022.3162575","title":"Efficient and Robust MultiView Clustering With Anchor Graph Regularization","display_name":"Efficient and Robust MultiView Clustering With Anchor Graph Regularization","publication_year":2022,"publication_date":"2022-03-28","ids":{"openalex":"https://openalex.org/W4226080957","doi":"https://doi.org/10.1109/tcsvt.2022.3162575"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2022.3162575","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3162575","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/A5024881484","display_name":"Ben Yang","orcid":"https://orcid.org/0000-0001-5970-1723"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ben Yang","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics and the College of Artificial Intelligence, Xi’an Jiaotong University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0001-5970-1723","affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics and the College of Artificial Intelligence, Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006736414","display_name":"Xuetao Zhang","orcid":"https://orcid.org/0000-0002-4534-1488"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuetao Zhang","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics and the College of Artificial Intelligence, Xi’an Jiaotong University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-4534-1488","affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics and the College of Artificial Intelligence, Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049506273","display_name":"Zhiping Lin","orcid":"https://orcid.org/0000-0002-1587-1226"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Zhiping Lin","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-1587-1226","affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003222421","display_name":"Feiping Nie","orcid":"https://orcid.org/0000-0002-0871-6519"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feiping Nie","raw_affiliation_strings":["School of Computer Science and the School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-0871-6519","affiliations":[{"raw_affiliation_string":"School of Computer Science and the School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077852542","display_name":"Badong Chen","orcid":"https://orcid.org/0000-0003-1710-3818"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Badong Chen","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics and the College of Artificial Intelligence, Xi’an Jiaotong University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0003-1710-3818","affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics and the College of Artificial Intelligence, Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100455958","display_name":"Fei Wang","orcid":"https://orcid.org/0000-0003-3462-8472"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Wang","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics and the College of Artificial Intelligence, Xi’an Jiaotong University, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics and the College of Artificial Intelligence, Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.4601,"has_fulltext":false,"cited_by_count":74,"citation_normalized_percentile":{"value":0.97717641,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"32","issue":"9","first_page":"6200","last_page":"6213"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9980999827384949,"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":0.9980999827384949,"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/T10057","display_name":"Face and Expression Recognition","score":0.9957000017166138,"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":0.994700014591217,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7058921456336975},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6374822854995728},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6195209622383118},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5541837215423584},{"id":"https://openalex.org/keywords/laplacian-matrix","display_name":"Laplacian matrix","score":0.5417604446411133},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5267894864082336},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.45769625902175903},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4566475749015808},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.4538485109806061},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4468923509120941},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4061296284198761},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38493722677230835},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.16411352157592773},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.0942297875881195}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7058921456336975},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6374822854995728},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6195209622383118},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5541837215423584},{"id":"https://openalex.org/C115178988","wikidata":"https://www.wikidata.org/wiki/Q772067","display_name":"Laplacian matrix","level":3,"score":0.5417604446411133},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5267894864082336},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.45769625902175903},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4566475749015808},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.4538485109806061},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4468923509120941},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4061296284198761},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38493722677230835},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.16411352157592773},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0942297875881195},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2022.3162575","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3162575","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":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.41999998688697815}],"awards":[{"id":"https://openalex.org/G3542897164","display_name":null,"funder_award_id":"xzy022021044","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3833898155","display_name":null,"funder_award_id":"62088102","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3848643179","display_name":null,"funder_award_id":"202006280340","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":81,"referenced_works":["https://openalex.org/W201974436","https://openalex.org/W297461772","https://openalex.org/W1501500081","https://openalex.org/W1572158434","https://openalex.org/W1923184257","https://openalex.org/W2007972815","https://openalex.org/W2011430131","https://openalex.org/W2043545458","https://openalex.org/W2050849575","https://openalex.org/W2107887685","https://openalex.org/W2108119513","https://openalex.org/W2112796928","https://openalex.org/W2113713615","https://openalex.org/W2121947440","https://openalex.org/W2142674578","https://openalex.org/W2155904486","https://openalex.org/W2167686991","https://openalex.org/W2176433868","https://openalex.org/W2331334294","https://openalex.org/W2405459681","https://openalex.org/W2466481865","https://openalex.org/W2514638911","https://openalex.org/W2560185252","https://openalex.org/W2577472518","https://openalex.org/W2579597427","https://openalex.org/W2586686153","https://openalex.org/W2604723872","https://openalex.org/W2609800219","https://openalex.org/W2741576990","https://openalex.org/W2748391982","https://openalex.org/W2756626360","https://openalex.org/W2772070950","https://openalex.org/W2803104255","https://openalex.org/W2808201035","https://openalex.org/W2883686935","https://openalex.org/W2887428273","https://openalex.org/W2893652381","https://openalex.org/W2898401672","https://openalex.org/W2904419448","https://openalex.org/W2909324822","https://openalex.org/W2943996654","https://openalex.org/W2954678237","https://openalex.org/W2955662921","https://openalex.org/W2970503027","https://openalex.org/W2989816365","https://openalex.org/W2997739739","https://openalex.org/W3002166600","https://openalex.org/W3004000099","https://openalex.org/W3008644971","https://openalex.org/W3015598351","https://openalex.org/W3091661269","https://openalex.org/W3102603179","https://openalex.org/W3102822594","https://openalex.org/W3117195566","https://openalex.org/W3117265891","https://openalex.org/W3119959254","https://openalex.org/W3120807512","https://openalex.org/W3122870122","https://openalex.org/W3128918602","https://openalex.org/W3134487894","https://openalex.org/W3136737181","https://openalex.org/W3140079845","https://openalex.org/W3162780976","https://openalex.org/W3175014629","https://openalex.org/W3217690000","https://openalex.org/W4200191747","https://openalex.org/W4210650624","https://openalex.org/W4213009331","https://openalex.org/W4248353501","https://openalex.org/W6676180653","https://openalex.org/W6684756745","https://openalex.org/W6685357932","https://openalex.org/W6713708190","https://openalex.org/W6730107233","https://openalex.org/W6731811539","https://openalex.org/W6736747036","https://openalex.org/W6741863821","https://openalex.org/W6767159690","https://openalex.org/W6790432840","https://openalex.org/W6791209713","https://openalex.org/W6791409163"],"related_works":["https://openalex.org/W2127243424","https://openalex.org/W4390394189","https://openalex.org/W2037504162","https://openalex.org/W2539013788","https://openalex.org/W2792706544","https://openalex.org/W1568451138","https://openalex.org/W2156699640","https://openalex.org/W2045265907","https://openalex.org/W2972997031","https://openalex.org/W34555840"],"abstract_inverted_index":{"Multi-view":[0],"clustering":[1,46,91,189],"has":[2],"received":[3],"widespread":[4],"attention":[5],"owing":[6,165],"to":[7,21,26,64,89,102,109,141,147,157,166,170],"its":[8,167],"effectiveness":[9,160],"by":[10,81],"integrating":[11],"multi-view":[12,45],"data":[13,24],"appropriately,":[14],"but":[15],"traditional":[16,97],"algorithms":[17],"have":[18],"limited":[19],"applicability":[20],"large-scale":[22,105],"real-world":[23,178],"due":[25],"their":[27],"high":[28],"computational":[29,125],"complexity":[30,126],"and":[31,43,75,161,173,180,191],"low":[32],"robustness.":[33],"Focusing":[34],"on":[35,177],"the":[36,66,69,76,96,110,118,124,130,143,159,188],"aforementioned":[37],"issues,":[38],"we":[39],"propose":[40],"an":[41],"efficient":[42],"robust":[44],"algorithm":[47],"with":[48],"anchor":[49,58,72],"graph":[50,59,73,98],"regularization":[51,60,99],"(ERMC-AGR).":[52],"In":[53],"this":[54],"work,":[55],"a":[56,104,134],"novel":[57],"(ARG)":[61],"is":[62,79,139,155],"designed":[63],"improve":[65,158,187],"quality":[67],"of":[68,120,137,163],"learned":[70],"embedded":[71],"(EAG),":[74],"obtained":[77],"EAG":[78,131],"decomposed":[80],"nonnegative":[82],"matrix":[83,107,136,146],"factorization":[84],"(NMF)":[85],"under":[86],"correntropy":[87,154],"criterion":[88],"acquire":[90],"results":[92],"directly.":[93],"Different":[94],"from":[95,117],"that":[100,184],"needs":[101],"construct":[103],"Laplacian":[106],"pertaining":[108],"all-sample":[111],"graph,":[112],"our":[113],"lightweight":[114],"AGR,":[115],"constructed":[116],"perspective":[119],"anchors,":[121],"can":[122,186],"reduce":[123],"significantly":[127],"while":[128,193],"improving":[129],"quality.":[132],"Moreover,":[133],"factor":[135],"NMF":[138],"constrained":[140],"be":[142],"cluster":[144],"indicator":[145],"omit":[148],"additional":[149],"k-means":[150],"after":[151],"optimization.":[152],"Subsequently,":[153],"utilized":[156],"robustness":[162,192],"ERMC-AGR":[164],"promising":[168],"performance":[169],"complex":[171],"noises":[172],"outliers.":[174],"Extensive":[175],"experiments":[176],"datasets":[179,182],"noisy":[181],"show":[183],"ERMC-ARG":[185],"efficiency":[190],"ensuring":[194],"comparable":[195],"or":[196],"even":[197],"better":[198],"effectiveness.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":23},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}