{"id":"https://openalex.org/W2951897416","doi":"https://doi.org/10.1109/tcyb.2019.2918495","title":"Dual Shared-Specific Multiview Subspace Clustering","display_name":"Dual Shared-Specific Multiview Subspace Clustering","publication_year":2019,"publication_date":"2019-06-19","ids":{"openalex":"https://openalex.org/W2951897416","doi":"https://doi.org/10.1109/tcyb.2019.2918495","mag":"2951897416","pmid":"https://pubmed.ncbi.nlm.nih.gov/31226094"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2019.2918495","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2019.2918495","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","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/A5061274720","display_name":"Tao Zhou","orcid":"https://orcid.org/0000-0002-2592-1688"},"institutions":[{"id":"https://openalex.org/I4210116052","display_name":"Inception Institute of Artificial Intelligence","ror":"https://ror.org/02664zk40","country_code":"AE","type":"facility","lineage":["https://openalex.org/I4210116052"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Tao Zhou","raw_affiliation_strings":["Inception Institute of Artificial Intelligence, Abu Dhabi, UAE"],"raw_orcid":"https://orcid.org/0000-0002-2592-1688","affiliations":[{"raw_affiliation_string":"Inception Institute of Artificial Intelligence, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I4210116052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100604573","display_name":"Changqing Zhang","orcid":"https://orcid.org/0000-0003-1410-6650"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changqing Zhang","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-1410-6650","affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022800038","display_name":"Xi Peng","orcid":"https://orcid.org/0000-0002-5727-2790"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Peng","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-5727-2790","affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034881097","display_name":"Harish Bhaskar","orcid":"https://orcid.org/0000-0001-6517-6232"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Harish Bhaskar","raw_affiliation_strings":["Zero One Infinity Consulting Service Ltd., Mississauga, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zero One Infinity Consulting Service Ltd., Mississauga, Canada","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100404947","display_name":"Jie Yang","orcid":"https://orcid.org/0000-0003-4801-7162"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Yang","raw_affiliation_strings":["Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-4801-7162","affiliations":[{"raw_affiliation_string":"Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.5417,"has_fulltext":false,"cited_by_count":171,"citation_normalized_percentile":{"value":0.98157683,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"50","issue":"8","first_page":"3517","last_page":"3530"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9980000257492065,"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":0.9980000257492065,"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":0.996999979019165,"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":0.9794999957084656,"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/exploit","display_name":"Exploit","score":0.7895474433898926},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.78043133020401},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7709071636199951},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6082177758216858},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5419119596481323},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5234779119491577},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.4942667484283447},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4735017418861389},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.4482559859752655},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39382433891296387},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38161176443099976},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33488741517066956}],"concepts":[{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7895474433898926},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.78043133020401},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7709071636199951},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6082177758216858},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5419119596481323},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5234779119491577},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.4942667484283447},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4735017418861389},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.4482559859752655},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39382433891296387},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38161176443099976},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33488741517066956},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2019.2918495","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2019.2918495","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},{"id":"pmid:31226094","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31226094","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 cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3646150279","display_name":null,"funder_award_id":"61806135","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4470834548","display_name":null,"funder_award_id":"61602337","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4731687583","display_name":"\u57fa\u4e8e\u56fe\u7684\u534a\u76d1\u7763\u5b66\u4e60\u7684\u5feb\u901f\u9c81\u68d2\u7b97\u6cd5\u7814\u7a76\u53ca\u5176\u5e94\u7528","funder_award_id":"61572315","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6846722749","display_name":null,"funder_award_id":"61836006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7042734088","display_name":null,"funder_award_id":"2018SCUH0070","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7216576671","display_name":null,"funder_award_id":"YJ201949","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7523228654","display_name":null,"funder_award_id":"61876107","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8847831495","display_name":null,"funder_award_id":"61625204","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/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":87,"referenced_works":["https://openalex.org/W18701524","https://openalex.org/W62192748","https://openalex.org/W80102357","https://openalex.org/W201974436","https://openalex.org/W297461772","https://openalex.org/W1500903683","https://openalex.org/W1572158434","https://openalex.org/W1621802500","https://openalex.org/W1638081485","https://openalex.org/W1736339626","https://openalex.org/W1884731728","https://openalex.org/W1906012480","https://openalex.org/W1907775068","https://openalex.org/W1921200167","https://openalex.org/W1931947167","https://openalex.org/W1997201895","https://openalex.org/W2003217181","https://openalex.org/W2073852340","https://openalex.org/W2090101874","https://openalex.org/W2096733369","https://openalex.org/W2097502977","https://openalex.org/W2100549954","https://openalex.org/W2101324110","https://openalex.org/W2103972604","https://openalex.org/W2113573459","https://openalex.org/W2123576058","https://openalex.org/W2132914434","https://openalex.org/W2136294701","https://openalex.org/W2142674578","https://openalex.org/W2151103935","https://openalex.org/W2154415691","https://openalex.org/W2161969291","https://openalex.org/W2163352848","https://openalex.org/W2165731615","https://openalex.org/W2165874743","https://openalex.org/W2185081213","https://openalex.org/W2187089797","https://openalex.org/W2197707282","https://openalex.org/W2199534117","https://openalex.org/W2316282451","https://openalex.org/W2345837149","https://openalex.org/W2509197032","https://openalex.org/W2514638911","https://openalex.org/W2532206188","https://openalex.org/W2604405260","https://openalex.org/W2604439903","https://openalex.org/W2604632143","https://openalex.org/W2604723872","https://openalex.org/W2608501919","https://openalex.org/W2612496192","https://openalex.org/W2741998188","https://openalex.org/W2794504545","https://openalex.org/W2800761708","https://openalex.org/W2808098316","https://openalex.org/W2891200098","https://openalex.org/W2898233200","https://openalex.org/W2899335103","https://openalex.org/W2904909998","https://openalex.org/W2905279478","https://openalex.org/W2911424083","https://openalex.org/W2911425494","https://openalex.org/W2942489367","https://openalex.org/W2951085447","https://openalex.org/W2963451015","https://openalex.org/W2963701987","https://openalex.org/W2963764569","https://openalex.org/W3023058184","https://openalex.org/W3099206234","https://openalex.org/W4250589301","https://openalex.org/W4298082496","https://openalex.org/W6600733632","https://openalex.org/W6602530501","https://openalex.org/W6608209381","https://openalex.org/W6610472804","https://openalex.org/W6640419445","https://openalex.org/W6675134712","https://openalex.org/W6675164516","https://openalex.org/W6682991666","https://openalex.org/W6684578312","https://openalex.org/W6699529502","https://openalex.org/W6725079823","https://openalex.org/W6725836693","https://openalex.org/W6735520713","https://openalex.org/W6735635911","https://openalex.org/W6735994599","https://openalex.org/W6736218961","https://openalex.org/W6929385289"],"related_works":["https://openalex.org/W1496222301","https://openalex.org/W3207760230","https://openalex.org/W1590307681","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703","https://openalex.org/W41015297","https://openalex.org/W4280645561"],"abstract_inverted_index":{"Multiview":[0],"subspace":[1,103],"clustering":[2,30,104],"has":[3,18],"received":[4],"significant":[5],"attention":[6],"as":[7,70],"the":[8,22,26,72,88,110,143,151,174,177],"availability":[9],"of":[10,12,28,62,90,153,176],"diverse":[11],"multidomain":[13],"and":[14,118,146],"multiview":[15,29,43,64,102],"real-world":[16],"data":[17,44,65],"rapidly":[19],"increased":[20],"in":[21,55],"recent":[23],"years.":[24],"Boosting":[25],"performance":[27],"algorithms":[31],"is":[32],"challenged":[33],"by":[34],"two":[35],"major":[36],"factors.":[37],"First,":[38],"since":[39,59],"original":[40],"features":[41],"from":[42],"are":[45],"highly":[46],"redundant,":[47],"reconstruction":[48],"based":[49],"on":[50,168],"these":[51],"attributes":[52],"inevitably":[53],"results":[54,167],"inferior":[56],"performance.":[57],"Second,":[58],"each":[60,91,128],"view":[61],"such":[63],"may":[66],"contain":[67],"unique":[68],"knowledge":[69],"against":[71,180],"others,":[73],"it":[74],"remains":[75],"a":[76,98,134],"challenge":[77],"to":[78,123,138,156],"exploit":[79,157],"complimentary":[80],"information":[81,114,122,141,159],"across":[82,115],"multiple":[83,116],"views":[84,117],"while":[85,160],"simultaneously":[86,108],"investigating":[87],"uniqueness":[89],"view.":[92,130],"In":[93],"this":[94],"paper,":[95],"we":[96,132],"present":[97],"novel":[99],"dual":[100,135],"shared-specific":[101,140],"(DSS-MSC)":[105],"approach":[106,155,179],"that":[107],"learns":[109],"correlations":[111],"between":[112],"shared":[113,158],"also":[119],"utilizes":[120],"view-specific":[121,162],"depict":[124],"specific":[125],"property":[126,163],"for":[127],"independent":[129],"Further,":[131],"formulate":[133],"learning":[136],"framework":[137],"capture":[139],"into":[142],"dimensional":[144],"reduction":[145],"self-representation":[147],"processes,":[148],"which":[149],"strengthens":[150],"ability":[152],"our":[154],"preserving":[161],"effectively.":[164],"The":[165],"experimental":[166],"several":[169],"benchmark":[170],"datasets":[171],"have":[172],"demonstrated":[173],"effectiveness":[175],"proposed":[178],"other":[181],"state-of-the-art":[182],"techniques.":[183]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":24},{"year":2024,"cited_by_count":27},{"year":2023,"cited_by_count":32},{"year":2022,"cited_by_count":40},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":23},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-14T07:44:22.658603","created_date":"2025-10-10T00:00:00"}