{"id":"https://openalex.org/W4414229119","doi":"https://doi.org/10.1109/tip.2025.3607610","title":"Streaming View Classification With Noisy Label","display_name":"Streaming View Classification With Noisy Label","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4414229119","doi":"https://doi.org/10.1109/tip.2025.3607610","pmid":"https://pubmed.ncbi.nlm.nih.gov/40956707"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2025.3607610","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3607610","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","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/A5043591894","display_name":"Xiao Ouyang","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Ouyang","raw_affiliation_strings":["College of Science, National University of Defense Technology, Changsha, Hunan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Science, National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055645580","display_name":"Ruidong Fan","orcid":"https://orcid.org/0009-0005-1276-466X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruidong Fan","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, Changsha, Hunan, China","College of Science, National University of Defense Technology, Changsha, Hunan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic Science and Technology, National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"College of Science, National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010022982","display_name":"Hong Tao","orcid":"https://orcid.org/0000-0002-0924-5683"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Tao","raw_affiliation_strings":["College of Science, National University of Defense Technology, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0002-0924-5683","affiliations":[{"raw_affiliation_string":"College of Science, National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091529433","display_name":"Chenping Hou","orcid":"https://orcid.org/0000-0002-9335-0469"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenping Hou","raw_affiliation_strings":["College of Science, National University of Defense Technology, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0002-9335-0469","affiliations":[{"raw_affiliation_string":"College of Science, National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21268713,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"34","issue":null,"first_page":"5750","last_page":"5760"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.8917999863624573,"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/T10057","display_name":"Face and Expression Recognition","score":0.8917999863624573,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.8385999798774719,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.7961999773979187,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/embedding","display_name":"Embedding","score":0.6280999779701233},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5752000212669373},{"id":"https://openalex.org/keywords/noisy-data","display_name":"Noisy data","score":0.5315999984741211},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.5148000121116638},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.46869999170303345},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.46309998631477356},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4171000123023987},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.37220001220703125},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.3361000120639801}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7687000036239624},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6280999779701233},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6207000017166138},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5752000212669373},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.5315999984741211},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.5148000121116638},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.46869999170303345},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.46309998631477356},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4171000123023987},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.37220001220703125},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.3361000120639801},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.33559998869895935},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.33250001072883606},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32679998874664307},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3068999946117401},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3050999939441681},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.30000001192092896},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.29980000853538513},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.2921999990940094},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.28940001130104065},{"id":"https://openalex.org/C2777611316","wikidata":"https://www.wikidata.org/wiki/Q39045282","display_name":"Streaming data","level":2,"score":0.27619999647140503},{"id":"https://openalex.org/C3073032","wikidata":"https://www.wikidata.org/wiki/Q15912075","display_name":"Information hiding","level":3,"score":0.2702000141143799},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2599000036716461},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.25850000977516174},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.25519999861717224},{"id":"https://openalex.org/C3020028006","wikidata":"https://www.wikidata.org/wiki/Q9158","display_name":"Electronic mail","level":2,"score":0.25200000405311584}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2025.3607610","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3607610","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:40956707","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40956707","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7888877734","display_name":null,"funder_award_id":"62476282","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":24,"referenced_works":["https://openalex.org/W1514928307","https://openalex.org/W1997201895","https://openalex.org/W2034841618","https://openalex.org/W2180180824","https://openalex.org/W2566079294","https://openalex.org/W2900928715","https://openalex.org/W2903647084","https://openalex.org/W2963783623","https://openalex.org/W2963909971","https://openalex.org/W2976181893","https://openalex.org/W2996060033","https://openalex.org/W3042609801","https://openalex.org/W3170414933","https://openalex.org/W3170986249","https://openalex.org/W3197466146","https://openalex.org/W4205460107","https://openalex.org/W4308582115","https://openalex.org/W4312440249","https://openalex.org/W4313377934","https://openalex.org/W4379524531","https://openalex.org/W4384159728","https://openalex.org/W4394595135","https://openalex.org/W4401069965","https://openalex.org/W4406982876"],"related_works":[],"abstract_inverted_index":{"In":[0,38,92],"many":[1,55],"image":[2],"processing":[3],"tasks,":[4],"e.g.,":[5],"3D":[6],"reconstruction":[7],"of":[8,13,17,116,135,191],"dynamic":[9,35,122],"scenes,":[10],"different":[11],"types":[12],"descriptions,":[14],"a.k.a.,":[15],"views,":[16,118,136],"an":[18,30],"object":[19],"are":[20,51],"emerging":[21,115],"in":[22,54,124],"a":[23,79,97,157,170],"streaming":[24,42],"way.":[25],"Streaming":[26,101],"view":[27,36,43,83],"learning":[28,44],"provides":[29],"effective":[31],"solution":[32],"to":[33,69,77,113,142],"this":[34,39,93],"problem.":[37],"paradigm,":[40],"existing":[41,140],"methods":[45],"typically":[46],"assume":[47],"that":[48,72],"all":[49],"labels":[50,71,111,155,166],"accurate.":[52],"However,":[53],"real-world":[56],"applications,":[57],"the":[58,114,121,125,130,137,180,189,192],"initial":[59],"views":[60],"may":[61],"be":[62],"not":[63],"good":[64],"enough":[65],"for":[66,81],"characterizing,":[67],"leading":[68],"noisy":[70,110,154,176],"degrade":[73],"classification":[74],"performance.":[75],"How":[76],"learn":[78],"model":[80],"simultaneous":[82],"evolving":[84],"and":[85,132,161,167],"label":[86,158],"ambiguity":[87],"is":[88],"critical":[89],"yet":[90],"unexplored.":[91],"paper,":[94],"we":[95],"propose":[96],"novel":[98],"method":[99,138],"called":[100],"View":[102],"Classification":[103],"with":[104,179],"Noisy":[105],"Label":[106],"(SVCNL).":[107],"We":[108],"calibrate":[109],"according":[112],"new":[117],"thereby":[119],"reflecting":[120],"changes":[123],"data":[126],"more":[127],"accurately.":[128],"Leveraging":[129],"sequential":[131],"non-revisitable":[133],"nature":[134],"tunes":[139],"models":[141],"inherit":[143],"information":[144],"from":[145],"previous":[146],"stages":[147],"by":[148],"utilizing":[149],"current-stage":[150],"data.":[151],"It":[152],"reconstructs":[153],"through":[156],"transition":[159],"matrix":[160],"establishes":[162],"relationships":[163],"between":[164],"true":[165],"samples":[168],"using":[169],"graph":[171],"embedding":[172],"strategy,":[173],"progressively":[174],"correcting":[175],"labels.":[177],"Together":[178],"theoretical":[181],"analyses":[182],"about":[183],"generalization":[184],"bounds,":[185],"extensive":[186],"experiments":[187],"demonstrate":[188],"effectiveness":[190],"proposed":[193],"approach.":[194]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}