{"id":"https://openalex.org/W3195193386","doi":"https://doi.org/10.1109/tcyb.2021.3094843","title":"Autoweighted Multiview Feature Selection With Graph Optimization","display_name":"Autoweighted Multiview Feature Selection With Graph Optimization","publication_year":2021,"publication_date":"2021-08-16","ids":{"openalex":"https://openalex.org/W3195193386","doi":"https://doi.org/10.1109/tcyb.2021.3094843","mag":"3195193386","pmid":"https://pubmed.ncbi.nlm.nih.gov/34398782"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2021.3094843","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2021.3094843","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/A5100341321","display_name":"Qi Wang","orcid":"https://orcid.org/0000-0002-7028-4956"},"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":true,"raw_author_name":"Qi Wang","raw_affiliation_strings":["School of Computer Science and School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100624027","display_name":"Jiang Xu","orcid":"https://orcid.org/0000-0001-5840-5682"},"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":"Xu Jiang","raw_affiliation_strings":["School of Computer Science and School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087975803","display_name":"Mulin Chen","orcid":"https://orcid.org/0000-0003-4634-3802"},"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":"Mulin Chen","raw_affiliation_strings":["School of Computer Science and School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106943753","display_name":"Xuelong Li","orcid":"https://orcid.org/0000-0003-2924-946X"},"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":"Xuelong Li","raw_affiliation_strings":["School of Computer Science and School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100341321"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":1.1653,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.80797751,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"52","issue":"12","first_page":"12966","last_page":"12977"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9990000128746033,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9990000128746033,"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":0.9886999726295471,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9861000180244446,"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/computer-science","display_name":"Computer science","score":0.6604810357093811},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6159684658050537},{"id":"https://openalex.org/keywords/laplacian-matrix","display_name":"Laplacian matrix","score":0.5756043195724487},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5703121423721313},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5312124490737915},{"id":"https://openalex.org/keywords/matrix-completion","display_name":"Matrix completion","score":0.4867734909057617},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4815261960029602},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4543343186378479},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4174783527851105},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3630104660987854},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3431377410888672},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.20925244688987732}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6604810357093811},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6159684658050537},{"id":"https://openalex.org/C115178988","wikidata":"https://www.wikidata.org/wiki/Q772067","display_name":"Laplacian matrix","level":3,"score":0.5756043195724487},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5703121423721313},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5312124490737915},{"id":"https://openalex.org/C2778459887","wikidata":"https://www.wikidata.org/wiki/Q6787865","display_name":"Matrix completion","level":3,"score":0.4867734909057617},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4815261960029602},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4543343186378479},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4174783527851105},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3630104660987854},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3431377410888672},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.20925244688987732},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2021.3094843","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2021.3094843","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:34398782","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34398782","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/G3196644182","display_name":null,"funder_award_id":"U1864204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G420612141","display_name":null,"funder_award_id":"U1801262","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4820425477","display_name":null,"funder_award_id":"61871470","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8046557032","display_name":null,"funder_award_id":"61773316","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W19235576","https://openalex.org/W45551751","https://openalex.org/W1803413907","https://openalex.org/W1972084483","https://openalex.org/W1979089718","https://openalex.org/W1984776140","https://openalex.org/W1988881859","https://openalex.org/W2002370809","https://openalex.org/W2007972815","https://openalex.org/W2009501510","https://openalex.org/W2049538695","https://openalex.org/W2076363162","https://openalex.org/W2083670761","https://openalex.org/W2084376194","https://openalex.org/W2128873747","https://openalex.org/W2132914434","https://openalex.org/W2147278762","https://openalex.org/W2149620660","https://openalex.org/W2155904486","https://openalex.org/W2162316550","https://openalex.org/W2193312788","https://openalex.org/W2335817207","https://openalex.org/W2407812036","https://openalex.org/W2422268042","https://openalex.org/W2514638911","https://openalex.org/W2577472518","https://openalex.org/W2579597427","https://openalex.org/W2583916359","https://openalex.org/W2595272553","https://openalex.org/W2605100742","https://openalex.org/W2758611985","https://openalex.org/W2792874300","https://openalex.org/W2804951847","https://openalex.org/W2809368372","https://openalex.org/W2888654602","https://openalex.org/W2897819140","https://openalex.org/W2903647084","https://openalex.org/W2909814607","https://openalex.org/W2963667873","https://openalex.org/W2998216295","https://openalex.org/W3120740533","https://openalex.org/W4240740736","https://openalex.org/W6601786222","https://openalex.org/W6638310485","https://openalex.org/W6652451885","https://openalex.org/W6681738144","https://openalex.org/W6681822384","https://openalex.org/W6683799998","https://openalex.org/W6731811539","https://openalex.org/W6757892708","https://openalex.org/W7066667914","https://openalex.org/W7074671674"],"related_works":["https://openalex.org/W2994409951","https://openalex.org/W4293326902","https://openalex.org/W2604249670","https://openalex.org/W2953063457","https://openalex.org/W3115944395","https://openalex.org/W2266965707","https://openalex.org/W2082020694","https://openalex.org/W2633605431","https://openalex.org/W2791118824","https://openalex.org/W3184441089"],"abstract_inverted_index":{"In":[0],"this":[1],"article,":[2],"we":[3,68],"focus":[4],"on":[5,78,157],"the":[6,18,33,48,51,59,65,82,88,92,103,108,112,124,154,161,164,169],"unsupervised":[7,72],"multiview":[8,21,73],"feature":[9,74,89,113],"selection,":[10],"which":[11],"tries":[12],"to":[13,47,57,122,127,139,152,168],"handle":[14],"high-dimensional":[15],"data":[16,35,53,109],"in":[17,50],"field":[19],"of":[20,163],"learning.":[22],"Although":[23],"some":[24],"graph-based":[25],"methods":[26],"have":[27],"achieved":[28],"satisfactory":[29],"performance,":[30],"they":[31],"ignore":[32],"underlying":[34],"structure":[36],"across":[37],"different":[38,98],"views.":[39],"Besides,":[40],"their":[41],"predefined":[42],"Laplacian":[43],"graphs":[44],"are":[45,84],"sensitive":[46],"noises":[49],"original":[52],"space":[54],"and":[55,81,132,144],"fail":[56],"obtain":[58,128],"optimal":[60],"neighbor":[61],"assignment.":[62],"To":[63],"address":[64],"above":[66],"problems,":[67],"propose":[69],"a":[70,116],"novel":[71],"selection":[75,90],"model":[76,105],"based":[77],"graph":[79,95],"learning,":[80],"contributions":[83],"three-fold:":[85],"1)":[86],"during":[87],"procedure,":[91],"consensus":[93],"similarity":[94,125],"shared":[96],"by":[97],"views":[99],"is":[100,120,137,150],"learned.":[101],"Therefore,":[102],"proposed":[104,151,165],"can":[106],"reveal":[107],"relationship":[110],"from":[111],"subset;":[114],"2)":[115],"reasonable":[117],"rank":[118],"constraint":[119],"added":[121],"optimize":[123,153],"matrix":[126],"more":[129],"accurate":[130],"information;":[131],"3)":[133],"an":[134,145],"autoweighted":[135],"framework":[136],"presented":[138],"assign":[140],"view":[141],"weights":[142],"adaptively,":[143],"effective":[146],"alternative":[147],"iterative":[148],"algorithm":[149],"problem.":[155],"Experiments":[156],"various":[158],"datasets":[159],"demonstrate":[160],"superiority":[162],"method":[166],"compared":[167],"state-of-the-art":[170],"methods.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
