{"id":"https://openalex.org/W7168201671","doi":"https://doi.org/10.1109/tmm.2026.3712894","title":"Dual Subspace Representation and Second-Order Affinity Graph Collaboration for Partial Multi-Label Feature Selection","display_name":"Dual Subspace Representation and Second-Order Affinity Graph Collaboration for Partial Multi-Label Feature Selection","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7168201671","doi":"https://doi.org/10.1109/tmm.2026.3712894"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2026.3712894","doi":"https://doi.org/10.1109/tmm.2026.3712894","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tmm.2026.3712894","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,"listed_in":["ccf-a","cwts-core","dongbi-a","jufo-3","norway-1","poland-140","russia-white-list-1","vabb-shw"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/tmm.2026.3712894","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008486437","display_name":"Tingquan Deng","orcid":"https://orcid.org/0000-0002-0168-5414","observed_orcids":["https://orcid.org/0000-0002-0168-5414"]},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingquan Deng","raw_affiliation_strings":["Harbin Engineering University"],"raw_orcid":"https://orcid.org/0000-0002-0168-5414","affiliations":[{"raw_affiliation_string":"Harbin Engineering University","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007036605","display_name":"Jie Yang","orcid":"https://orcid.org/0000-0002-4148-0042","observed_orcids":["https://orcid.org/0000-0002-4148-0042","https://orcid.org/0009-0003-7752-4443","https://orcid.org/0009-0004-4152-7455"]},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Yang","raw_affiliation_strings":["Harbin Engineering University"],"raw_orcid":"https://orcid.org/0009-0003-7752-4443","affiliations":[{"raw_affiliation_string":"Harbin Engineering University","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100416008","display_name":"Qingwei Jia","orcid":"https://orcid.org/0009-0008-0698-8466","observed_orcids":["https://orcid.org/0009-0008-0698-8466"]},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingwei Jia","raw_affiliation_strings":["Harbin Engineering University"],"raw_orcid":"https://orcid.org/0009-0008-0698-8466","affiliations":[{"raw_affiliation_string":"Harbin Engineering University","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008622229","display_name":"Ming Yang","orcid":"https://orcid.org/0000-0003-1810-1566","observed_orcids":["https://orcid.org/0000-0003-1810-1566"]},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Yang","raw_affiliation_strings":["Harbin Engineering University"],"raw_orcid":"https://orcid.org/0000-0003-1810-1566","affiliations":[{"raw_affiliation_string":"Harbin Engineering University","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046311971","display_name":"Changzhong Wang","orcid":"https://orcid.org/0000-0002-4136-2433","observed_orcids":["https://orcid.org/0000-0002-4136-2433"]},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changzhong Wang","raw_affiliation_strings":["Harbin Engineering University"],"raw_orcid":"https://orcid.org/0000-0002-4136-2433","affiliations":[{"raw_affiliation_string":"Harbin Engineering University","institution_ids":["https://openalex.org/I151727225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I151727225"],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":{"value":2645,"currency":"USD","value_usd":2645},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"28","issue":null,"first_page":"11478","last_page":"11490"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.6987000107765198,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11550","display_name":"Text and Document Classification Technologies","score":0.6987000107765198,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.26170000433921814,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.008100000210106373,"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/partial-multi-label-learning","display_name":"partial multi-label learning","score":0.8510000109672546},{"id":"https://openalex.org/keywords/noisy-labels","display_name":"label noise","score":0.9589999914169312},{"id":"https://openalex.org/keywords/robust-pca","display_name":"robust principal component analysis","score":0.8619999885559082},{"id":"https://openalex.org/keywords/manifold-regularization","display_name":"manifold regularization","score":0.7559999823570251},{"id":"https://openalex.org/keywords/l2-1-norm-regularization","display_name":"l2,1-norm regularization","score":0.875},{"id":"https://openalex.org/keywords/high-dimensional-data","display_name":"high-dimensional data","score":0.5929999947547913}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7827000021934509},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5738999843597412},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5551999807357788},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5539000034332275},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5162000060081482},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5128999948501587},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.47350001335144043},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46399998664855957},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4059000015258789},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.3984000086784363},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.3619000017642975},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35109999775886536},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3474000096321106},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.3158999979496002},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3127000033855438},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3068000078201294},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.2809999883174896},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.2621999979019165}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2026.3712894","doi":"https://doi.org/10.1109/tmm.2026.3712894","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tmm.2026.3712894","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,"listed_in":["ccf-a","cwts-core","dongbi-a","jufo-3","norway-1","poland-140","russia-white-list-1","vabb-shw"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/tmm.2026.3712894","doi":"https://doi.org/10.1109/tmm.2026.3712894","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tmm.2026.3712894","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,"listed_in":["ccf-a","cwts-core","dongbi-a","jufo-3","norway-1","poland-140","russia-white-list-1","vabb-shw"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"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":47,"referenced_works":["https://openalex.org/W188881548","https://openalex.org/W1565746575","https://openalex.org/W2055600015","https://openalex.org/W2114315281","https://openalex.org/W2161374719","https://openalex.org/W2241072627","https://openalex.org/W2799791930","https://openalex.org/W2904398352","https://openalex.org/W2907461997","https://openalex.org/W2938834426","https://openalex.org/W2948768062","https://openalex.org/W2964010532","https://openalex.org/W3000675402","https://openalex.org/W3015362220","https://openalex.org/W3023050749","https://openalex.org/W3034894624","https://openalex.org/W3088663932","https://openalex.org/W3119688788","https://openalex.org/W3128609022","https://openalex.org/W3133128010","https://openalex.org/W3169379378","https://openalex.org/W3193693507","https://openalex.org/W3196105425","https://openalex.org/W4221012116","https://openalex.org/W4288434016","https://openalex.org/W4293811985","https://openalex.org/W4312725269","https://openalex.org/W4362714708","https://openalex.org/W4383816112","https://openalex.org/W4384304031","https://openalex.org/W4386571806","https://openalex.org/W4388325616","https://openalex.org/W4389161305","https://openalex.org/W4390684299","https://openalex.org/W4392843849","https://openalex.org/W4393147248","https://openalex.org/W4396793532","https://openalex.org/W4396834624","https://openalex.org/W4397026377","https://openalex.org/W4400858902","https://openalex.org/W4401262713","https://openalex.org/W4401829232","https://openalex.org/W4402327179","https://openalex.org/W4403780824","https://openalex.org/W4404967473","https://openalex.org/W4408612790","https://openalex.org/W4411690338"],"related_works":["https://openalex.org/W6903727646","https://openalex.org/W7220999368","https://openalex.org/W3190080023","https://openalex.org/W7202290313","https://openalex.org/W4402996832","https://openalex.org/W2972793008","https://openalex.org/W7160184428","https://openalex.org/W2750436561","https://openalex.org/W7214001741","https://openalex.org/W7018756351"],"abstract_inverted_index":{"Feature":[0],"selection":[1,63,194,219],"is":[2,93,143,169,190,223],"an":[3,138],"effective":[4],"technique":[5,49],"for":[6,18],"solving":[7],"curse":[8],"of":[9,15,25,32,70,133,149,152,159,177,185,217,241],"dimensionality":[10],"in":[11,29,53,243],"high-dimensional":[12],"data.":[13],"Lots":[14],"models":[16],"emerged":[17],"tackling":[19],"multi-label":[20,34,61],"classification":[21],"tasks,":[22],"but":[23],"most":[24],"them":[26],"perform":[27],"inferiorly":[28],"the":[30,44,96,98,112,147,156,162,174,183,200,209,215,227,238],"scenarios":[31],"partial":[33,60],"learning":[35,216],"(PML),":[36],"where":[37],"data":[38],"annotation":[39],"contains":[40],"noisy":[41],"labels.":[42,136,202],"Although":[43],"commonly":[45],"used":[46],"matrix":[47,195],"decomposition":[48],"can":[50],"suppress":[51],"noise":[52,110,160],"observed":[54,99],"labels":[55,101,107,126],"to":[56,129,145,171,225],"some":[57],"extent,":[58],"existing":[59],"feature":[62,73,193,218],"(PMFS)":[64],"methods":[65],"usually":[66],"exhibit":[67],"insufficient":[68],"exploration":[69],"interface":[71],"between":[72,122],"space":[74],"and":[75,86,108,124,135,154,234],"label":[76,179],"space.":[77],"To":[78,181],"address":[79,146],"this":[80],"issue,":[81],"a":[82,165],"dual":[83,119],"subspace":[84,120,205],"representation":[85],"second-order":[87,140],"affinity":[88,141],"graph":[89,142],"collaboration":[90],"(DSRSAG)":[91],"method":[92],"proposed.":[94],"In":[95],"model,":[97],"multiple":[100],"are":[102,127,232],"decomposed":[103],"into":[104],"low-rank":[105,175],"ground-truth":[106,125,178,201],"sparse":[109],"via":[111],"robust":[113],"principal":[114],"component":[115],"analysis":[116],"(RPCA).":[117],"The":[118,203],"representations":[121,206],"instances":[123,134,153],"modeled":[128],"uncover":[130],"consistent":[131,204],"structures":[132],"Meanwhile,":[137],"adaptive":[139],"introduced":[144],"absence":[148],"first-order":[150],"correlations":[151],"mitigate":[155],"negative":[157],"impact":[158],"on":[161,192],"model.":[163,229],"Additionally,":[164],"novel":[166],"non-convex":[167],"function":[168],"constructed":[170],"better":[172],"reveal":[173],"structure":[176],"matrix.":[180,220],"exclude":[182],"influence":[184],"non-essential":[186],"features,":[187],"the$\\ell":[188],"_{2,1}$-norm":[189],"imposed":[191],"while":[196],"regressing":[197],"features":[198],"onto":[199],"together":[207],"with":[208,245],"designed":[210],"manifold":[211],"regularization":[212],"jointly":[213],"guide":[214],"An":[221],"algorithm":[222],"established":[224],"implement":[226],"proposed":[228],"Extensive":[230],"experiments":[231],"conducted":[233],"experimental":[235],"results":[236],"demonstrate":[237],"superior":[239],"performance":[240],"DSRSAG":[242],"comparison":[244],"representative":[246],"PMFS":[247],"methods.":[248]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-07-14T00:00:00"}