{"id":"https://openalex.org/W2765802795","doi":"https://doi.org/10.1145/3123266.3123388","title":"Adaptive Low-Rank Multi-Label Active Learning for Image Classification","display_name":"Adaptive Low-Rank Multi-Label Active Learning for Image Classification","publication_year":2017,"publication_date":"2017-10-19","ids":{"openalex":"https://openalex.org/W2765802795","doi":"https://doi.org/10.1145/3123266.3123388","mag":"2765802795"},"language":"en","primary_location":{"id":"doi:10.1145/3123266.3123388","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3123266.3123388","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM international conference on Multimedia","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/A5101774308","display_name":"Jian Wu","orcid":"https://orcid.org/0000-0002-8759-7107"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jian Wu","raw_affiliation_strings":["Washington University in St. Louis, Saint Louis, MO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Washington University in St. Louis, Saint Louis, MO, USA","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040571707","display_name":"Anqian Guo","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":false,"raw_author_name":"Anqian Guo","raw_affiliation_strings":["Soochow University, Suzhou, China"],"raw_orcid":null,"affiliations":[{"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, AR, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Central Arkansas, Conway, AR, USA","institution_ids":["https://openalex.org/I32038505","https://openalex.org/I4210152127"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101507570","display_name":"Pengpeng Zhao","orcid":"https://orcid.org/0000-0002-3099-4523"},"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"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","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"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100726322","display_name":"Hua Li","orcid":"https://orcid.org/0000-0002-0745-035X"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hua Li","raw_affiliation_strings":["Washington University in St. Louis, Saint Louis, MO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Washington University in St. Louis, Saint Louis, MO, USA","institution_ids":["https://openalex.org/I204465549"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"1336","last_page":"1344"},"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9984999895095825,"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":0.9817000031471252,"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":0.6980692148208618},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6247933506965637},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6037052869796753},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5578608512878418},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5286058783531189},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.501276969909668},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4261837601661682},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.42073556780815125},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14935818314552307}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6980692148208618},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6247933506965637},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6037052869796753},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5578608512878418},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5286058783531189},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.501276969909668},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4261837601661682},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42073556780815125},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14935818314552307},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3123266.3123388","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3123266.3123388","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM international conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7181595828","display_name":null,"funder_award_id":"61402311","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":32,"referenced_works":["https://openalex.org/W79405465","https://openalex.org/W167321734","https://openalex.org/W1520999218","https://openalex.org/W1892074770","https://openalex.org/W1963980798","https://openalex.org/W1964017540","https://openalex.org/W1970801545","https://openalex.org/W1977612207","https://openalex.org/W1997201895","https://openalex.org/W2021732807","https://openalex.org/W2068548513","https://openalex.org/W2087655037","https://openalex.org/W2097622337","https://openalex.org/W2103972604","https://openalex.org/W2107131609","https://openalex.org/W2114315281","https://openalex.org/W2119970716","https://openalex.org/W2137107481","https://openalex.org/W2138517257","https://openalex.org/W2139573966","https://openalex.org/W2139821863","https://openalex.org/W2142576401","https://openalex.org/W2156935079","https://openalex.org/W2159401492","https://openalex.org/W2176228818","https://openalex.org/W2560674852","https://openalex.org/W2615497679","https://openalex.org/W2903158431","https://openalex.org/W3008214279","https://openalex.org/W3140428646","https://openalex.org/W4231579676","https://openalex.org/W4239677523"],"related_works":["https://openalex.org/W2152992791","https://openalex.org/W1495042958","https://openalex.org/W2494338568","https://openalex.org/W2122678784","https://openalex.org/W2282510344","https://openalex.org/W139987158","https://openalex.org/W2183994405","https://openalex.org/W2112835755","https://openalex.org/W1875646599","https://openalex.org/W2385867212"],"abstract_inverted_index":{"Multi-label":[0],"active":[1,37,119],"learning":[2,38,120],"for":[3,85,191],"image":[4],"classification":[5],"has":[6],"attracted":[7],"great":[8],"attention":[9],"over":[10],"recent":[11],"years":[12],"and":[13,49,75,173],"a":[14,114,143,178,188,192,210],"lot":[15],"of":[16,46,72,97,150,158,177,187,230,246],"relevant":[17],"works":[18],"are":[19,56,89],"published":[20],"continuously.":[21],"However,":[22],"there":[23],"still":[24],"remain":[25],"some":[26],"problems":[27],"that":[28],"need":[29],"to":[30,131,153,199,213],"be":[31],"solved,":[32],"such":[33],"as":[34],"existing":[35],"multi-label":[36,118,180],"algorithms":[39],"do":[40],"not":[41],"reflect":[42],"on":[43,52,92,164,236],"the":[44,70,78,93,139,155,170,174,184,201,204,215,244],"cleanness":[45],"sample":[47,61],"data":[48,62,73],"their":[50],"ways":[51],"label":[53,86,95,175,195],"correlation":[54,196],"mining":[55],"defective.":[57],"For":[58,81],"one":[59],"thing,":[60],"is":[63,223],"usually":[64],"contaminated":[65],"in":[66],"reality,":[67],"which":[68,102],"disturbs":[69],"estimation":[71],"distribution":[74,96],"further":[76],"hinders":[77],"model":[79],"training.":[80],"another,":[82],"previous":[83],"approaches":[84],"relationship":[87],"exploration":[88],"purely":[90],"based":[91,235],"observed":[94],"an":[98,133,165,219,237],"incomplete":[99,185],"training":[100,189],"set,":[101],"cannot":[103],"provide":[104],"sufficiently":[105],"efficient":[106],"information.":[107],"To":[108],"address":[109],"these":[110,227],"issues,":[111],"we":[112,125,147,182,208],"propose":[113],"novel":[115],"adaptive":[116,238],"low-rank":[117,128,135],"algorithm,":[121],"called":[122],"LRMAL.":[123],"Specifically,":[124],"first":[126],"use":[127,149,209],"matrix":[129],"recovery":[130],"learn":[132],"effective":[134,220],"feature":[136],"representation":[137],"from":[138],"noisy":[140],"data.":[141,217],"In":[142],"subsequent":[144],"sampling":[145,221],"phase,":[146],"make":[148],"its":[151],"superiorities":[152],"evaluate":[154],"general":[156],"informativeness":[157],"each":[159],"unlabeled":[160],"example-label":[161,206],"pair.":[162],"Based":[163],"intrinsic":[166],"mapping":[167],"relation":[168],"between":[169],"example":[171],"space":[172,176],"certain":[179],"dataset,":[181],"recover":[183],"labels":[186],"set":[190],"more":[193],"comprehensive":[194],"mining.":[197],"Furthermore,":[198],"reduce":[200],"redundancy":[202],"among":[203],"selected":[205],"pairs,":[207],"diversity":[211],"measurement":[212],"diversify":[214],"sampled":[216],"Finally,":[218],"strategy":[222],"developed":[224],"by":[225],"integrating":[226],"two":[228],"aspects":[229],"potential":[231],"information":[232],"with":[233],"uncertainty":[234],"integration":[239],"scheme.":[240],"Experimental":[241],"results":[242],"demonstrate":[243],"effectiveness":[245],"our":[247],"approach.":[248]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
