{"id":"https://openalex.org/W3202159339","doi":"https://doi.org/10.1109/tmm.2021.3116417","title":"LR-SVM+: Learning Using Privileged Information with Noisy Labels","display_name":"LR-SVM+: Learning Using Privileged Information with Noisy Labels","publication_year":2021,"publication_date":"2021-10-02","ids":{"openalex":"https://openalex.org/W3202159339","doi":"https://doi.org/10.1109/tmm.2021.3116417","mag":"3202159339"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2021.3116417","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3116417","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,"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 Multimedia","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/A5014842721","display_name":"Zhengning Wu","orcid":"https://orcid.org/0000-0001-5007-3249"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Zhengning Wu","raw_affiliation_strings":["Trustworthy Machine Learning Laboratory, University of Sydney, Darlington, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Trustworthy Machine Learning Laboratory, University of Sydney, Darlington, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114803721","display_name":"Xiaobo Xia","orcid":"https://orcid.org/0000-0003-3615-0919"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xiaobo Xia","raw_affiliation_strings":["Trustworthy Machine Learning Laboratory, University of Sydney, Darlington, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Trustworthy Machine Learning Laboratory, University of Sydney, Darlington, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101848673","display_name":"Ruxin Wang","orcid":"https://orcid.org/0000-0002-2730-9409"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruxin Wang","raw_affiliation_strings":["National Pilot School of Software, Yunnan University, Kunming, China"],"affiliations":[{"raw_affiliation_string":"National Pilot School of Software, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114488810","display_name":"Jiatong Li","orcid":"https://orcid.org/0009-0008-3053-8764"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiatong Li","raw_affiliation_strings":["Dianping Group, Meituan, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Dianping Group, Meituan, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048818071","display_name":"Jun Yu","orcid":"https://orcid.org/0000-0002-3197-8103"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Yu","raw_affiliation_strings":["Department of Automation, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113278417","display_name":"Yinian Mao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yinian Mao","raw_affiliation_strings":["Dianping Group, Meituan, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Dianping Group, Meituan, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065250332","display_name":"Tongliang Liu","orcid":"https://orcid.org/0000-0002-9640-6472"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Tongliang Liu","raw_affiliation_strings":["Trustworthy Machine Learning Laboratory, University of Sydney, Darlington, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Trustworthy Machine Learning Laboratory, University of Sydney, Darlington, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5014842721"],"corresponding_institution_ids":["https://openalex.org/I129604602"],"apc_list":null,"apc_paid":null,"fwci":1.3998,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.85087404,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"24","issue":null,"first_page":"1080","last_page":"1092"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9994999766349792,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9994999766349792,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11220","display_name":"Water Systems and Optimization","score":0.9685999751091003,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/computer-science","display_name":"Computer science","score":0.8468111753463745},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7170828580856323},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7067821025848389},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6579177379608154},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.625507116317749},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6233519911766052},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4562268853187561},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.422330379486084},{"id":"https://openalex.org/keywords/noisy-data","display_name":"Noisy data","score":0.41088899970054626},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0726618766784668}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8468111753463745},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7170828580856323},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7067821025848389},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6579177379608154},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.625507116317749},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6233519911766052},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4562268853187561},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.422330379486084},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.41088899970054626},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0726618766784668},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2021.3116417","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3116417","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,"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2408903403","display_name":null,"funder_award_id":"62101480","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2409766348","display_name":null,"funder_award_id":"DE-190101473","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G6187288381","display_name":null,"funder_award_id":"YD2350002001","funder_id":"https://openalex.org/F4320325599","funder_display_name":"University of Science and Technology 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/F4320325599","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09"},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W375584923","https://openalex.org/W1514928307","https://openalex.org/W2067562626","https://openalex.org/W2100904656","https://openalex.org/W2126942721","https://openalex.org/W2169408065","https://openalex.org/W2171072927","https://openalex.org/W2173379916","https://openalex.org/W2580802682","https://openalex.org/W2592335154","https://openalex.org/W2807936987","https://openalex.org/W2903254834","https://openalex.org/W2947049994","https://openalex.org/W2963368804","https://openalex.org/W2964274690","https://openalex.org/W2964292098","https://openalex.org/W2977953007","https://openalex.org/W2981873476","https://openalex.org/W2985817549","https://openalex.org/W3039366696","https://openalex.org/W3129603874","https://openalex.org/W3165676168","https://openalex.org/W3168393738","https://openalex.org/W3196904728","https://openalex.org/W4244259635","https://openalex.org/W4282938511","https://openalex.org/W4293334232","https://openalex.org/W6605479355","https://openalex.org/W6632134033","https://openalex.org/W6633724138","https://openalex.org/W6678280073","https://openalex.org/W6681079333","https://openalex.org/W6685316698","https://openalex.org/W6686674283","https://openalex.org/W6707425157","https://openalex.org/W6738763127","https://openalex.org/W6744106388","https://openalex.org/W6750523955","https://openalex.org/W6751647823","https://openalex.org/W6751661576","https://openalex.org/W6753772092","https://openalex.org/W6759215631","https://openalex.org/W6763576130","https://openalex.org/W6768332837","https://openalex.org/W6768967079","https://openalex.org/W6771630921","https://openalex.org/W6772389601","https://openalex.org/W6774796142","https://openalex.org/W6779482673","https://openalex.org/W6779708913","https://openalex.org/W6779709574","https://openalex.org/W6779784029","https://openalex.org/W6781063151","https://openalex.org/W6783943466","https://openalex.org/W6784235280","https://openalex.org/W6785714404","https://openalex.org/W6785821353","https://openalex.org/W6789476682","https://openalex.org/W6795451886","https://openalex.org/W6796408964","https://openalex.org/W6801205975"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W2888188966","https://openalex.org/W3208786872","https://openalex.org/W2990812465","https://openalex.org/W3164866731","https://openalex.org/W3038785057"],"abstract_inverted_index":{"The":[0],"paradigm":[1],"of":[2,35,47,68,96,105],"Learning":[3],"Using":[4],"Privileged":[5],"Information":[6],"(LUPI)":[7],"always":[8],"assumes":[9],"that":[10],"labels":[11,25],"are":[12],"annotated":[13],"precisely.":[14],"However,":[15],"in":[16,38],"practice,":[17],"this":[18],"assumption":[19],"may":[20,26],"be":[21,27],"violated,":[22],"as":[23,61],"the":[24,33,39,44,62,69,84,88,94,103,106],"heavily":[28],"noisy,":[29],"which":[30],"inevitably":[31],"degenerates":[32],"performance":[34],"learning":[36],"algorithms":[37],"LUPI":[40],"paradigm.":[41],"To":[42],"handle":[43],"side":[45],"effect":[46],"noisy":[48,89],"labels,":[49,71],"we":[50,72,82],"propose":[51],"a":[52],"novel":[53],"Label":[54],"Noise":[55],"Robust":[56],"SVM+":[57,101],"(LR-SVM+)":[58],"algorithm.":[59],"Specifically,":[60],"privileged":[63],"information":[64,67],"contains":[65],"rich":[66],"latent":[70],"first":[73],"utilize":[74],"it":[75],"to":[76,86],"infer":[77],"underlying":[78],"clean":[79],"labels.":[80,90],"Then":[81],"use":[83],"inference":[85],"modify":[87],"Comprehensive":[91],"experiments":[92],"demonstrate":[93],"necessity":[95],"studying":[97],"label":[98],"noise":[99],"robust":[100],"and":[102],"effectiveness":[104],"proposed":[107],"method.":[108]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}