{"id":"https://openalex.org/W2042537503","doi":"https://doi.org/10.1145/2733373.2806298","title":"Weak Labeled Multi-Label Active Learning for Image Classification","display_name":"Weak Labeled Multi-Label Active Learning for Image Classification","publication_year":2015,"publication_date":"2015-10-13","ids":{"openalex":"https://openalex.org/W2042537503","doi":"https://doi.org/10.1145/2733373.2806298","mag":"2042537503"},"language":"en","primary_location":{"id":"doi:10.1145/2733373.2806298","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2733373.2806298","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM international conference on Multimedia","raw_type":"proceedings-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/A5109329123","display_name":"Shiquan Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shiquan Zhao","raw_affiliation_strings":["Soochow University, Suzhou, China","Soochow University, Suzhou, CHINA"],"affiliations":[{"raw_affiliation_string":"Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"Soochow University, Suzhou, CHINA","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101774308","display_name":"Jian Wu","orcid":"https://orcid.org/0000-0002-8759-7107"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Wu","raw_affiliation_strings":["Soochow University, Suzhou, China","Soochow University, Suzhou, CHINA"],"affiliations":[{"raw_affiliation_string":"Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"Soochow University, Suzhou, CHINA","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051706630","display_name":"Victor S. Sheng","orcid":"https://orcid.org/0000-0003-4960-174X"},"institutions":[{"id":"https://openalex.org/I32038505","display_name":"University of Central Arkansas","ror":"https://ror.org/029bp0k25","country_code":"US","type":"education","lineage":["https://openalex.org/I32038505"]},{"id":"https://openalex.org/I4210152127","display_name":"Conway School of Landscape Design","ror":"https://ror.org/04q7y8a54","country_code":"US","type":"education","lineage":["https://openalex.org/I4210152127"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Victor S. Sheng","raw_affiliation_strings":["University of Central Arkansas, Conway, USA","University of Central Arkansas , Conway , USA"],"affiliations":[{"raw_affiliation_string":"University of Central Arkansas, Conway, USA","institution_ids":["https://openalex.org/I32038505","https://openalex.org/I4210152127"]},{"raw_affiliation_string":"University of Central Arkansas , Conway , USA","institution_ids":["https://openalex.org/I32038505","https://openalex.org/I4210152127"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112379210","display_name":"Chen Ye","orcid":"https://orcid.org/0000-0002-8332-6211"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Ye","raw_affiliation_strings":["Soochow University, Suzhou, China","Soochow University, Suzhou, CHINA"],"affiliations":[{"raw_affiliation_string":"Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"Soochow University, Suzhou, CHINA","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016091616","display_name":"Pengpeng Zhao","orcid":"https://orcid.org/0000-0001-6721-6576"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengpeng Zhao","raw_affiliation_strings":["Soochow University, Suzhou, China","Soochow University, Suzhou, CHINA"],"affiliations":[{"raw_affiliation_string":"Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"Soochow University, Suzhou, CHINA","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100602190","display_name":"Zhiming Cui","orcid":"https://orcid.org/0000-0002-2960-2051"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiming Cui","raw_affiliation_strings":["Soochow University, Suzhou, China","Soochow University, Suzhou, CHINA"],"affiliations":[{"raw_affiliation_string":"Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"Soochow University, Suzhou, CHINA","institution_ids":["https://openalex.org/I3923682"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5109329123"],"corresponding_institution_ids":["https://openalex.org/I3923682"],"apc_list":null,"apc_paid":null,"fwci":2.1572,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.90021901,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1127","last_page":"1130"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9991999864578247,"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":0.9991999864578247,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9980999827384949,"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/T11269","display_name":"Algorithms and Data Compression","score":0.986299991607666,"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/computer-science","display_name":"Computer science","score":0.709898829460144},{"id":"https://openalex.org/keywords/multi-label-classification","display_name":"Multi-label classification","score":0.7052290439605713},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.675311803817749},{"id":"https://openalex.org/keywords/active-learning","display_name":"Active learning (machine learning)","score":0.584538459777832},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5782937407493591},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5772824287414551},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5343135595321655},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5172656178474426},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4460603892803192},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2243560552597046}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.709898829460144},{"id":"https://openalex.org/C2776482837","wikidata":"https://www.wikidata.org/wiki/Q3553958","display_name":"Multi-label classification","level":2,"score":0.7052290439605713},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.675311803817749},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.584538459777832},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5782937407493591},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5772824287414551},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5343135595321655},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5172656178474426},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4460603892803192},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2243560552597046},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2733373.2806298","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2733373.2806298","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM international conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2348983832","display_name":null,"funder_award_id":"BC2013124","funder_id":"https://openalex.org/F4320321605","funder_display_name":"Government of Jiangsu Province"},{"id":"https://openalex.org/G4936265284","display_name":null,"funder_award_id":"13KJB520021","funder_id":"https://openalex.org/F4320323136","funder_display_name":"Basic Research Program of Jiangsu Education Department"},{"id":"https://openalex.org/G7760695717","display_name":null,"funder_award_id":"61170020, 61402311, 61440053","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"},{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"},{"id":"https://openalex.org/F4320323136","display_name":"Basic Research Program of Jiangsu Education Department","ror":"https://ror.org/059md9404"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W167321734","https://openalex.org/W1511053376","https://openalex.org/W1520999218","https://openalex.org/W1963980798","https://openalex.org/W1964017540","https://openalex.org/W1977612207","https://openalex.org/W1999954155","https://openalex.org/W2087655037","https://openalex.org/W2124244761","https://openalex.org/W2137107481","https://openalex.org/W2140335411","https://openalex.org/W2188400996","https://openalex.org/W2241862190","https://openalex.org/W2608239929"],"related_works":["https://openalex.org/W4404781601","https://openalex.org/W2039871688","https://openalex.org/W2883491016","https://openalex.org/W3031069236","https://openalex.org/W2017214274","https://openalex.org/W2990774877","https://openalex.org/W3093339210","https://openalex.org/W4205999209","https://openalex.org/W2735080633","https://openalex.org/W167321734"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,52,91,125],"achieve":[3],"better":[4],"classification":[5,102],"performance":[6],"with":[7,39,114],"even":[8],"fewer":[9],"labeled":[10],"images,":[11],"active":[12,20,98,138],"learning":[13,21,99],"is":[14,49,69,78],"suitable":[15],"for":[16,26,56,100,137],"these":[17],"situations.":[18],"Several":[19],"methods":[22],"have":[23],"been":[24],"proposed":[25,150],"multi-label":[27,67,97,135],"image":[28,101],"classification,":[29],"but":[30],"all":[31,36],"of":[32,46,63,81,117,129],"them":[33],"assume":[34],"that":[35,148],"training":[37],"images":[38],"complete":[40,54],"labels.":[41],"However,":[42],"as":[43],"a":[44,66,134],"matter":[45],"fact,":[47],"it":[48],"very":[50],"difficult":[51],"get":[53],"labels":[55,64,74],"each":[57,130],"example,":[58],"especially":[59],"when":[60],"the":[61,110,115,127],"size":[62],"in":[65,133],"domain":[68],"huge.":[70],"Usually,":[71],"only":[72],"partial":[73],"are":[75],"available.":[76],"This":[77,85],"one":[79],"kind":[80],"\"weak":[82,93],"label\"":[83,94],"problems.":[84],"paper":[86],"proposes":[87],"an":[88],"ingeniously":[89],"solution":[90],"this":[92],"problem":[95,113],"on":[96,109,143],"(called":[103],"WLMAL).":[104],"It":[105],"explores":[106],"label":[107,112,123],"correlation":[108,124],"weak":[111],"help":[116],"input":[118],"features,":[119],"and":[120],"then":[121],"utilizes":[122],"evaluate":[126],"informativeness":[128],"example-label":[131],"pair":[132],"dataset":[136],"sampling.":[139],"Our":[140],"experimental":[141],"results":[142],"three":[144],"real-world":[145],"datasets":[146],"show":[147],"our":[149],"approach":[151],"WLMAL":[152],"consistently":[153],"outperforms":[154],"existing":[155],"approaches":[156],"significantly.":[157]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}