{"id":"https://openalex.org/W4404101448","doi":"https://doi.org/10.1109/tnnls.2024.3479777","title":"Unpaired Multiview Clustering via Reliable View Guidance","display_name":"Unpaired Multiview Clustering via Reliable View Guidance","publication_year":2024,"publication_date":"2024-11-06","ids":{"openalex":"https://openalex.org/W4404101448","doi":"https://doi.org/10.1109/tnnls.2024.3479777","pmid":"https://pubmed.ncbi.nlm.nih.gov/39504291"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2024.3479777","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3479777","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5076978644","display_name":"Like Xin","orcid":"https://orcid.org/0000-0002-7516-4355"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Like Xin","raw_affiliation_strings":["School of Mathematical Sciences, Nanjing Normal University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-7516-4355","affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Nanjing Normal University, Nanjing, China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078658353","display_name":"Wanqi Yang","orcid":"https://orcid.org/0000-0001-6727-6077"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanqi Yang","raw_affiliation_strings":["School of Computer and Electronic Information, Nanjing Normal University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-6727-6077","affiliations":[{"raw_affiliation_string":"School of Computer and Electronic Information, Nanjing Normal University, Nanjing, China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100435848","display_name":"Lei Wang","orcid":"https://orcid.org/0000-0002-0961-0441"},"institutions":[{"id":"https://openalex.org/I204824540","display_name":"University of Wollongong","ror":"https://ror.org/00jtmb277","country_code":"AU","type":"education","lineage":["https://openalex.org/I204824540"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["School of Computing and Information Technology, University of Wollongong, Wollongong, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0002-0961-0441","affiliations":[{"raw_affiliation_string":"School of Computing and Information Technology, University of Wollongong, Wollongong, NSW, Australia","institution_ids":["https://openalex.org/I204824540"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034985240","display_name":"Ming Yang","orcid":"https://orcid.org/0009-0002-4952-1790"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Yang","raw_affiliation_strings":["School of Computer and Electronic Information, Nanjing Normal University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Electronic Information, Nanjing Normal University, Nanjing, China","institution_ids":["https://openalex.org/I152031979"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4087,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61721124,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"36","issue":"6","first_page":"11443","last_page":"11455"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9984999895095825,"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":0.9984999895095825,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9972000122070312,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9923999905586243,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7264218330383301},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5513849854469299},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5125939249992371},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4691426157951355}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7264218330383301},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5513849854469299},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5125939249992371},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4691426157951355}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2024.3479777","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3479777","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:39504291","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39504291","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1327198361","display_name":null,"funder_award_id":"62476136","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1637535666","display_name":null,"funder_award_id":"62076135","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4459702006","display_name":null,"funder_award_id":"62276138","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G714982415","display_name":null,"funder_award_id":"61876087","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":63,"referenced_works":["https://openalex.org/W1937059634","https://openalex.org/W1968855351","https://openalex.org/W1972441438","https://openalex.org/W1987971958","https://openalex.org/W2057923756","https://openalex.org/W2147614625","https://openalex.org/W2171332245","https://openalex.org/W2546561608","https://openalex.org/W2588822028","https://openalex.org/W2785810986","https://openalex.org/W2788790210","https://openalex.org/W2804016075","https://openalex.org/W2808465901","https://openalex.org/W2903938664","https://openalex.org/W2906529026","https://openalex.org/W2963517422","https://openalex.org/W2964199994","https://openalex.org/W2966632286","https://openalex.org/W3118782137","https://openalex.org/W3137513727","https://openalex.org/W3161727935","https://openalex.org/W3165231040","https://openalex.org/W3166805639","https://openalex.org/W3167015775","https://openalex.org/W3168316785","https://openalex.org/W3169978599","https://openalex.org/W3173972271","https://openalex.org/W3176728172","https://openalex.org/W3206460183","https://openalex.org/W4200226646","https://openalex.org/W4214544745","https://openalex.org/W4214876032","https://openalex.org/W4221166681","https://openalex.org/W4225275176","https://openalex.org/W4286896674","https://openalex.org/W4290713716","https://openalex.org/W4290927762","https://openalex.org/W4304091711","https://openalex.org/W4306913594","https://openalex.org/W4312238451","https://openalex.org/W4312881178","https://openalex.org/W4312973985","https://openalex.org/W4324292597","https://openalex.org/W4327937847","https://openalex.org/W4361801401","https://openalex.org/W4380520364","https://openalex.org/W4382202985","https://openalex.org/W4385489739","https://openalex.org/W4385894350","https://openalex.org/W4385973234","https://openalex.org/W4387968627","https://openalex.org/W4388692616","https://openalex.org/W4388953073","https://openalex.org/W4391365647","https://openalex.org/W4391696966","https://openalex.org/W4394951283","https://openalex.org/W4399039465","https://openalex.org/W6636883489","https://openalex.org/W6695455153","https://openalex.org/W6732230627","https://openalex.org/W6785760900","https://openalex.org/W6796756813","https://openalex.org/W6848788552"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"This":[0],"article":[1],"focuses":[2],"on":[3,45],"unpaired":[4,30],"multiview":[5,38],"clustering":[6,27,39,125],"(UMC),":[7],"a":[8,109,120,136],"challenging":[9,78],"problem,":[10],"where":[11],"paired":[12,101],"observed":[13,31],"samples":[14,32,210],"are":[15],"unavailable":[16],"across":[17,73],"multiple":[18,175,189],"views.":[19,35,74,129,156],"The":[20],"goal":[21],"is":[22,56,113,144,219],"to":[23,50,67,86,97,122,193,205,221,225],"perform":[24],"effective":[25],"joint":[26],"using":[28],"the":[29,60,69,81,87,92,98,106,114,124,127,131,150,154,196,202,207,212,222,238],"in":[33,59,249],"all":[34],"In":[36,75],"incomplete":[37],"(IMC),":[40],"existing":[41],"methods":[42],"typically":[43],"rely":[44],"sample":[46],"pairing":[47,94],"between":[48,149],"views":[49,143,152,177],"capture":[51],"their":[52],"complementary.":[53],"However,":[54],"this":[55],"not":[57],"applicable":[58],"case":[61],"of":[62,89,100,126,133,141,209,245],"UMC.":[63],"Hence,":[64],"we":[65,158,180,200],"aim":[66],"extract":[68],"consistent":[70],"cluster":[71,83,111,139],"structure":[72,84,112,140],"UMC,":[76],"two":[77],"issues":[79],"arise:":[80],"uncertain":[82,93],"due":[85,96],"lack":[88],"labels":[90],"and":[91,153,169,188,235,247],"relationship":[95,208],"absence":[99],"samples.":[102],"We":[103],"assume":[104],"that":[105,232],"view":[107,161,167,171,187],"with":[108,164,174,184],"good":[110],"reliable":[115,134,151,160,166,170,176,186,190],"view,":[116],"which":[117],"acts":[118],"as":[119],"supervisor":[121],"guide":[123,195],"other":[128,155],"With":[130],"guidance":[132],"views,":[135,191],"more":[137],"certain":[138],"these":[142],"obtained":[145],"while":[146],"achieving":[147],"alignment":[148,182],"Then,":[157],"propose":[159],"guided":[162,172],"UMC":[163,173],"one":[165,185],"(RG-UMC)":[168],"(RGs-UMC).":[178],"Specifically,":[179],"design":[181],"modules":[183],"respectively,":[192],"adaptively":[194],"optimization":[197],"process.":[198],"Also,":[199],"utilize":[201],"compactness":[203],"module":[204],"enhance":[206],"within":[211],"same":[213],"cluster.":[214],"Meanwhile,":[215],"an":[216,243],"orthogonal":[217],"constraint":[218],"applied":[220],"latent":[223],"representation":[224],"obtain":[226],"discriminate":[227],"features.":[228],"Extensive":[229],"experiments":[230],"show":[231],"both":[233],"RG-UMC":[234],"RGs-UMC":[236],"outperform":[237],"best":[239],"state-of-the-art":[240],"method":[241],"by":[242],"average":[244],"24.14%":[246],"29.42%":[248],"normalized":[250],"mutual":[251],"information":[252],"(NMI),":[253],"respectively.":[254]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}