{"id":"https://openalex.org/W1966620628","doi":"https://doi.org/10.1109/cvpr.2012.6247847","title":"Stream-based joint exploration-exploitation active learning","display_name":"Stream-based joint exploration-exploitation active learning","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W1966620628","doi":"https://doi.org/10.1109/cvpr.2012.6247847","mag":"1966620628"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2012.6247847","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6247847","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Computer Vision and Pattern Recognition","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/A5088402961","display_name":"Claudia Loy","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"C. C. Loy","raw_affiliation_strings":["Vision Semantics Limited, UK","Vision Semantics Ltd, UK"],"affiliations":[{"raw_affiliation_string":"Vision Semantics Limited, UK","institution_ids":[]},{"raw_affiliation_string":"Vision Semantics Ltd, UK","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087823932","display_name":"Timothy M. Hospedales","orcid":"https://orcid.org/0000-0003-4867-7486"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"T. M. Hospedales","raw_affiliation_strings":["School of EECS, Queen Mary, University of London, UK","[School of EECS, Queen Mary, University of London, UK]"],"affiliations":[{"raw_affiliation_string":"School of EECS, Queen Mary, University of London, UK","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"[School of EECS, Queen Mary, University of London, UK]","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014436524","display_name":"Tao Xiang","orcid":"https://orcid.org/0000-0002-2530-1059"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tao Xiang","raw_affiliation_strings":["School of EECS, Queen Mary, University of London, UK","[School of EECS, Queen Mary, University of London, UK]"],"affiliations":[{"raw_affiliation_string":"School of EECS, Queen Mary, University of London, UK","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"[School of EECS, Queen Mary, University of London, UK]","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039302902","display_name":"Shaogang Gong","orcid":"https://orcid.org/0000-0001-8156-2299"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shaogang Gong","raw_affiliation_strings":["School of EECS, Queen Mary, University of London, UK","[School of EECS, Queen Mary, University of London, UK]"],"affiliations":[{"raw_affiliation_string":"School of EECS, Queen Mary, University of London, UK","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"[School of EECS, Queen Mary, University of London, UK]","institution_ids":["https://openalex.org/I166337079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5088402961"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.2561,"has_fulltext":false,"cited_by_count":79,"citation_normalized_percentile":{"value":0.98097303,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1560","last_page":"1567"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9998000264167786,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9998000264167786,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9948999881744385,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.994700014591217,"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":0.8062121868133545},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6386779546737671},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.6248396039009094},{"id":"https://openalex.org/keywords/active-learning","display_name":"Active learning (machine learning)","score":0.6015263795852661},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5685704350471497},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5498221516609192},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.5044382810592651},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5011518001556396},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.48343050479888916},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.46701863408088684},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.44656825065612793},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3257664442062378},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10117131471633911}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8062121868133545},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6386779546737671},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.6248396039009094},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.6015263795852661},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5685704350471497},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5498221516609192},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.5044382810592651},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5011518001556396},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.48343050479888916},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.46701863408088684},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.44656825065612793},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3257664442062378},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10117131471633911},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2012.6247847","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6247847","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1263166697","display_name":null,"funder_award_id":"EP/G063974/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G827375879","display_name":null,"funder_award_id":"EP/E028594/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1484084878","https://openalex.org/W1514707997","https://openalex.org/W1515163912","https://openalex.org/W1528361845","https://openalex.org/W1576360539","https://openalex.org/W1983624455","https://openalex.org/W2005902041","https://openalex.org/W2010132303","https://openalex.org/W2027248184","https://openalex.org/W2027953712","https://openalex.org/W2057147815","https://openalex.org/W2080021732","https://openalex.org/W2087309226","https://openalex.org/W2088627138","https://openalex.org/W2122777361","https://openalex.org/W2128012710","https://openalex.org/W2135892731","https://openalex.org/W2139185560","https://openalex.org/W2145452316","https://openalex.org/W2147810372","https://openalex.org/W2149263498","https://openalex.org/W2153786467","https://openalex.org/W2154099718","https://openalex.org/W2158266063","https://openalex.org/W2164124780","https://openalex.org/W2166704235","https://openalex.org/W2167595980","https://openalex.org/W2168319451","https://openalex.org/W2334424438","https://openalex.org/W2903158431","https://openalex.org/W3120740533","https://openalex.org/W3145164839","https://openalex.org/W4214823344","https://openalex.org/W4246070010","https://openalex.org/W4296300796","https://openalex.org/W6628826841","https://openalex.org/W6630921979","https://openalex.org/W6678425932","https://openalex.org/W6681634217","https://openalex.org/W6682871038","https://openalex.org/W6684585897","https://openalex.org/W6756615331"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W164103134","https://openalex.org/W2787352659","https://openalex.org/W1970611213","https://openalex.org/W4206560911","https://openalex.org/W4372260270"],"abstract_inverted_index":{"Learning":[0],"from":[1],"streams":[2,101],"of":[3,38,110,120],"evolving":[4,25],"and":[5,24,50,113],"unbounded":[6],"data":[7],"is":[8,30,40],"an":[9],"important":[10],"problem,":[11],"for":[12,95],"example":[13],"in":[14,43,61,100],"visual":[15],"surveillance":[16,114],"or":[17,80],"internet":[18],"scale":[19],"data.":[20],"For":[21],"such":[22],"large":[23],"real-world":[26],"data,":[27],"exhaustive":[28],"supervision":[29],"impractical,":[31],"particularly":[32],"so":[33],"when":[34],"the":[35,118],"full":[36],"space":[37],"classes":[39],"not":[41],"known":[42],"advance":[44],"therefore":[45],"joint":[46,96],"class":[47],"discovery":[48],"(exploration)":[49],"boundary":[51],"learning":[52,57,72,99],"(exploitation)":[53],"becomes":[54],"critical.":[55],"Active":[56],"has":[58],"shown":[59],"promise":[60],"jointly":[62],"optimising":[63],"exploration-exploitation":[64,97],"with":[65],"minimal":[66],"human":[67],"supervision.":[68],"However,":[69],"existing":[70,124],"active":[71,98],"methods":[73],"either":[74],"rely":[75],"on":[76,108],"heuristic":[77,104],"multi-criteria":[78],"weighting":[79],"are":[81],"limited":[82],"to":[83],"batch":[84],"processing.":[85],"In":[86],"this":[87],"paper,":[88],"we":[89],"present":[90],"a":[91],"new":[92],"unified":[93],"framework":[94,122],"without":[102],"any":[103],"weighting.":[105],"Extensive":[106],"evaluation":[107],"classification":[109],"various":[111],"image":[112],"video":[115],"datasets":[116],"demonstrates":[117],"superiority":[119],"our":[121],"over":[123],"methods.":[125]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":10},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":2}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}