{"id":"https://openalex.org/W1981133990","doi":"https://doi.org/10.1145/2396761.2398545","title":"Mining noisy tagging from multi-label space","display_name":"Mining noisy tagging from multi-label space","publication_year":2012,"publication_date":"2012-10-29","ids":{"openalex":"https://openalex.org/W1981133990","doi":"https://doi.org/10.1145/2396761.2398545","mag":"1981133990"},"language":"en","primary_location":{"id":"doi:10.1145/2396761.2398545","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2396761.2398545","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM international conference on Information and knowledge management","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101500719","display_name":"Zhongang Qi","orcid":"https://orcid.org/0000-0001-8298-4063"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongang Qi","raw_affiliation_strings":["Zhejiang University, Hangzhou, China","Zhejiang university, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang university, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115595966","display_name":"Ming Yang","orcid":"https://orcid.org/0000-0001-8013-5148"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Yang","raw_affiliation_strings":["Zhejiang University, Hangzhou, China","Zhejiang university, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang university, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036747535","display_name":"Zhongfei Zhang","orcid":"https://orcid.org/0000-0001-5098-2506"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Zhongfei (Mark) Zhang","raw_affiliation_strings":["Microsoft Research, Redmond, WA, USA","Zhejiang University, Hangzhou, China","Zhejiang university, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang university, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058849717","display_name":"Zhengyou Zhang","orcid":"https://orcid.org/0000-0002-6606-2525"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Zhengyou Zhang","raw_affiliation_strings":["Microsoft Research, Redmond, WA, USA","Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1925","last_page":"1929"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9987999796867371,"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":0.9987999796867371,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9962000250816345,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9959999918937683,"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/discriminative-model","display_name":"Discriminative model","score":0.8515550494194031},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8208956718444824},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5711014270782471},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5674886703491211},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5569220781326294},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4832533001899719},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48086196184158325},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4777340590953827},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.45362889766693115},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4510735869407654},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4293249249458313},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24885421991348267}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8515550494194031},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8208956718444824},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5711014270782471},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5674886703491211},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5569220781326294},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4832533001899719},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48086196184158325},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4777340590953827},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.45362889766693115},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4510735869407654},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4293249249458313},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24885421991348267},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2396761.2398545","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2396761.2398545","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM international conference on Information and knowledge management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7799999713897705}],"awards":[],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W18055459","https://openalex.org/W66588809","https://openalex.org/W1898031563","https://openalex.org/W1953606363","https://openalex.org/W1968555645","https://openalex.org/W2007972815","https://openalex.org/W2034841618","https://openalex.org/W2123217057","https://openalex.org/W2143750468","https://openalex.org/W2145234365","https://openalex.org/W2166193663","https://openalex.org/W2990138404","https://openalex.org/W6639540558","https://openalex.org/W6681427677"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W1482209366","https://openalex.org/W2348623473","https://openalex.org/W156213964","https://openalex.org/W2050960118"],"abstract_inverted_index":{"In":[0,45],"this":[1,19,46],"paper":[2,47],"we":[3,48,102],"study":[4],"the":[5,13,29,35,38,42,52,65,69,79,82,93,98,109,112,116,139,142,145,149,153,166,174,184,188,193],"problem":[6,20,135,154,194],"of":[7,12,37,76,81,111,141,195],"mining":[8,196],"noisy":[9,161,197],"tagging.":[10,198],"Most":[11],"existing":[14,189],"discriminative":[15,117],"classification":[16,30,118,134],"methods":[17,106,119,168,186],"to":[18,77,91,107,129,137,152,183],"only":[21],"consider":[22],"one":[23,121],"tag":[24],"at":[25,41],"a":[26,87,131,156,170],"time":[27],"as":[28,60],"target,":[31],"and":[32,64,136,164],"completely":[33],"ignore":[34],"rest":[36],"given":[39,53],"tags":[40,55],"same":[43],"time.":[44],"argue":[49],"that":[50,179],"all":[51],"multiple":[54],"can":[56,72],"be":[57,73],"utilized":[58],"simultaneously":[59],"an":[61],"additional":[62],"feature":[63],"information":[66,110],"contained":[67],"in":[68,97,120,125,144,187],"multi-label":[70,99,113,133],"space":[71,114],"taken":[74],"advantage":[75],"improve":[78],"performance":[80],"classification.":[83,146],"We":[84,147],"first":[85],"propose":[86,103],"novel":[88,105],"distance":[89,94],"measure":[90],"compute":[92],"between":[95],"instances":[96],"space.":[100],"Then":[101],"several":[104],"incorporate":[108],"into":[115],"view":[122],"learning":[123,128],"or":[124],"two":[126],"views":[127],"solve":[130],"general":[132],"mitigate":[138],"influence":[140],"noise":[143],"apply":[148],"proposed":[150,167],"solutions":[151],"with":[155],"more":[157],"specific":[158],"context":[159],"-":[160],"image":[162],"annotation,":[163],"evaluate":[165],"on":[169,191],"standard":[171],"dataset":[172],"from":[173],"related":[175],"literature.":[176],"Experiments":[177],"show":[178],"they":[180],"are":[181],"superior":[182],"peer":[185],"literature":[190],"solving":[192]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}