{"id":"https://openalex.org/W4415179132","doi":"https://doi.org/10.1109/tcsvt.2025.3621307","title":"Partial Label Learning via Mutual Information Representation Learning","display_name":"Partial Label Learning via Mutual Information Representation Learning","publication_year":2025,"publication_date":"2025-10-14","ids":{"openalex":"https://openalex.org/W4415179132","doi":"https://doi.org/10.1109/tcsvt.2025.3621307"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2025.3621307","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3621307","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/A5022002084","display_name":"Jian Feng","orcid":"https://orcid.org/0000-0001-5421-1733"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jian Feng","raw_affiliation_strings":["College of Computer Science and Technology, Qingdao University, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Qingdao University, Qingdao, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035429304","display_name":"Linqing Huang","orcid":"https://orcid.org/0000-0001-6892-8006"},"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":"Linqing Huang","raw_affiliation_strings":["School of Computer Science, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016900374","display_name":"Jianqiang Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"JiangNan Li","raw_affiliation_strings":["College of Computer Science and Technology, Qingdao University, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Qingdao University, Qingdao, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102570630","display_name":"Kangrui Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kangrui Ren","raw_affiliation_strings":["Department of Control Science and Engineering, College of Electronics and Information Engineering, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, College of Electronics and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047282005","display_name":"Jinfu Fan","orcid":"https://orcid.org/0009-0001-7892-1315"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"JinFu Fan","raw_affiliation_strings":["College of Computer Science and Technology, Qingdao University, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Qingdao University, Qingdao, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088329069","display_name":"Qingkai Bu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"QingKai Bu","raw_affiliation_strings":["College of Computer Science and Technology, Qingdao University, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Qingdao University, Qingdao, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047001937","display_name":"Min Gan","orcid":"https://orcid.org/0000-0002-2756-0054"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Min Gan","raw_affiliation_strings":["College of Computer Science and Technology, Qingdao University, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Qingdao University, Qingdao, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100643265","display_name":"C. L. Philip Chen","orcid":"https://orcid.org/0000-0001-5451-7230"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"C. L. Philip Chen","raw_affiliation_strings":["College of Computer Science and Technology, Qingdao University, Qingdao, China","College of Computer Science & Technology, Qingdao University, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Qingdao University, Qingdao, China","institution_ids":[]},{"raw_affiliation_string":"College of Computer Science & Technology, Qingdao University, Qingdao, China","institution_ids":["https://openalex.org/I108688024"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5022002084"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15217064,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"36","issue":"3","first_page":"3709","last_page":"3723"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9684000015258789,"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":0.9684000015258789,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7591999769210815},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6696000099182129},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.5995000004768372},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.5813000202178955},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.48820000886917114},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4814000129699707},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.4747999906539917},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4406999945640564},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4259999990463257}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7591999769210815},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7164999842643738},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.675000011920929},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6696000099182129},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.5995000004768372},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.5813000202178955},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4984000027179718},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.48820000886917114},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4821999967098236},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4814000129699707},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.4747999906539917},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4406999945640564},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4259999990463257},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4117000102996826},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.36390000581741333},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.3625999987125397},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.33730000257492065},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.3050000071525574},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.29260000586509705},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.28529998660087585},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.2791000008583069},{"id":"https://openalex.org/C52622258","wikidata":"https://www.wikidata.org/wiki/Q131222","display_name":"Information theory","level":2,"score":0.2777000069618225},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.2743000090122223},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2612000107765198},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.26089999079704285},{"id":"https://openalex.org/C21080849","wikidata":"https://www.wikidata.org/wiki/Q13611879","display_name":"Data point","level":2,"score":0.2526000142097473}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2025.3621307","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3621307","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1974596106","https://openalex.org/W2061554433","https://openalex.org/W2112796928","https://openalex.org/W2114771311","https://openalex.org/W2128314196","https://openalex.org/W2137917285","https://openalex.org/W2158140971","https://openalex.org/W2166944917","https://openalex.org/W2338068721","https://openalex.org/W2528451364","https://openalex.org/W2751032627","https://openalex.org/W3164123179","https://openalex.org/W3199218290","https://openalex.org/W4206196317","https://openalex.org/W4206337866","https://openalex.org/W4226177518","https://openalex.org/W4241727697","https://openalex.org/W4251481993","https://openalex.org/W4286539743","https://openalex.org/W4307392394","https://openalex.org/W4366748080","https://openalex.org/W4380303870","https://openalex.org/W4386583021","https://openalex.org/W4390706868","https://openalex.org/W4402302742"],"related_works":[],"abstract_inverted_index":{"Partial":[0],"label":[1,18,42],"learning":[2],"(PLL)":[3],"is":[4,13,44,71,110,134,173],"a":[5,20,27,45],"paradigm":[6],"in":[7,73,118],"weakly":[8],"supervised":[9],"learning.":[10],"The":[11],"goal":[12],"to":[14,32,89,100,111,137,153,166,174,182,216],"identify":[15],"the":[16,33,38,59,63,66,81,91,114,122,129,138,146,162,168,176,179,185,190,194,198,208],"ground-truth":[17,41],"from":[19],"set":[21],"of":[22,35,40,65,94,132,178,193],"candidate":[23,95],"labels":[24,96],"associated":[25],"with":[26,161],"given":[28],"sample.":[29],"However,":[30],"due":[31],"ambiguity":[34,199],"labels,":[36],"improving":[37,189],"accuracy":[39],"recognition":[43],"challenge.":[46],"In":[47,126],"this":[48,127],"paper,":[49],"we":[50],"propose":[51],"an":[52],"innovative":[53],"training":[54],"framework":[55],"PLMR,":[56],"for":[57],"solving":[58],"PLL":[60,67,119],"problem.":[61,125],"Given":[62],"specificity":[64],"problem,":[68,82],"its":[69,233],"data":[70,98,116,158],"rich":[72],"valid":[74],"information":[75,86,93,117],"but":[76],"significantly":[77],"noisy.":[78],"To":[79],"overcome":[80],"PLMR":[83,149,224],"incorporates":[84],"mutual":[85],"(MI)":[87],"theory":[88],"mine":[90],"potential":[92],"and":[97,104,120,140,213,235],"features":[99],"distinguish":[101],"between":[102,210],"positive":[103,139],"negative":[105,141],"sample":[106,214],"pairs.":[107],"This":[108,172],"operation":[109],"effectively":[112],"utilize":[113],"raw":[115],"reduce":[121],"class":[123,186],"conflict":[124],"way,":[128],"discriminative":[130],"power":[131],"representation":[133],"improved":[135],"according":[136],"pair":[142],"selection":[143],"strategy.":[144],"At":[145],"same":[147],"time,":[148],"introduces":[150],"cluster":[151,170,211],"centers":[152,212],"optimize":[154],"subsequent":[155],"tasks,":[156],"combining":[157],"augmentation":[159],"samples":[160],"K-means":[163],"cross-attention":[164],"mechanism":[165],"refine":[167],"optimized":[169],"centers.":[171],"improve":[175],"ability":[177],"clustering":[180],"centre":[181],"accurately":[183],"represent":[184],"information,":[187],"thus":[188],"overall":[191],"quality":[192],"clusters.":[195],"Further,":[196],"through":[197],"marking":[200],"correction":[201],"mechanism,":[202],"weights":[203],"are":[204],"calculated":[205],"based":[206],"on":[207,229],"association":[209],"representations":[215],"guide":[217],"model":[218],"training.":[219],"Experimental":[220],"results":[221],"show":[222],"that":[223],"demonstrates":[225],"excellent":[226],"classification":[227],"performance":[228],"multiple":[230],"datasets,":[231],"verifying":[232],"effectiveness":[234],"sophistication.":[236]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-15T00:00:00"}