{"id":"https://openalex.org/W1902312632","doi":"https://doi.org/10.5220/0004686400760085","title":"Active Learning in Social Context for Image Classification","display_name":"Active Learning in Social Context for Image Classification","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W1902312632","doi":"https://doi.org/10.5220/0004686400760085","mag":"1902312632"},"language":"en","primary_location":{"id":"doi:10.5220/0004686400760085","is_oa":false,"landing_page_url":"https://doi.org/10.5220/0004686400760085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Computer Vision Theory and Applications","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":[],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.045,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.88629537,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"76","last_page":"85"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9998999834060669,"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":0.9998999834060669,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9919000267982483,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/oracle","display_name":"Oracle","score":0.8621326684951782},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8590309619903564},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6345594525337219},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6065523624420166},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5994702577590942},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5757189393043518},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5732804536819458},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4894756078720093},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4257512092590332}],"concepts":[{"id":"https://openalex.org/C55166926","wikidata":"https://www.wikidata.org/wiki/Q2892946","display_name":"Oracle","level":2,"score":0.8621326684951782},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8590309619903564},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6345594525337219},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6065523624420166},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5994702577590942},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5757189393043518},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5732804536819458},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4894756078720093},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4257512092590332},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"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/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0004686400760085","is_oa":false,"landing_page_url":"https://doi.org/10.5220/0004686400760085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Computer Vision Theory and Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W181712675","https://openalex.org/W1483816357","https://openalex.org/W1514940655","https://openalex.org/W1606858007","https://openalex.org/W1618905105","https://openalex.org/W1917109065","https://openalex.org/W1972508834","https://openalex.org/W1976921161","https://openalex.org/W1990190154","https://openalex.org/W2003497265","https://openalex.org/W2027953712","https://openalex.org/W2029742379","https://openalex.org/W2036681051","https://openalex.org/W2056983531","https://openalex.org/W2066941820","https://openalex.org/W2131320173","https://openalex.org/W2134305421","https://openalex.org/W2135734357","https://openalex.org/W2138079527","https://openalex.org/W2146024151","https://openalex.org/W2149684865","https://openalex.org/W2151023586","https://openalex.org/W2154096410","https://openalex.org/W2156477505","https://openalex.org/W2164015974","https://openalex.org/W2170942078","https://openalex.org/W2181558882","https://openalex.org/W2903158431"],"related_works":["https://openalex.org/W2073713056","https://openalex.org/W3110702597","https://openalex.org/W2078761926","https://openalex.org/W2110441383","https://openalex.org/W2125620709","https://openalex.org/W1498872724","https://openalex.org/W4233149903","https://openalex.org/W4293864700","https://openalex.org/W2524540579","https://openalex.org/W2326878701"],"abstract_inverted_index":{"Motivated":[0],"by":[1,53],"the":[2,9,25,55,59,68,78,112,121,129,132,140,153,157],"widespread":[3],"adoption":[4],"of":[5,12,28,42,71,80,100,123,131],"social":[6,51,65],"networks":[7],"and":[8,138,156],"abundant":[10],"availability":[11],"user-generated":[13],"multimedia":[14],"content,":[15],"our":[16,88],"purpose":[17],"in":[18,35,49],"this":[19,36,50,101],"work":[20,102],"is":[21,103],"to":[22,77,119],"investigate":[23],"how":[24],"known":[26],"principles":[27],"active":[29,43,124],"learning":[30,44],"for":[31,109],"image":[32],"classification":[33],"fit":[34],"newly":[37],"developed":[38],"context.":[39],"The":[40,98],"process":[41,122],"can":[45],"be":[46,95,147],"fully":[47],"automated":[48],"context":[52],"replacing":[54],"human":[56],"oracle":[57],"with":[58,116],"user":[60],"tagged":[61],"images":[62],"obtained":[63],"from":[64,85],"networks.":[66],"However,":[67],"noisy":[69],"nature":[70],"user-contributed":[72],"tags":[73],"adds":[74],"further":[75],"complexity":[76],"problem":[79],"sample":[81],"selection":[82],"since,":[83],"apart":[84],"their":[86,91],"informativeness,":[87],"confidence":[89],"about":[90],"actual":[92],"content":[93],"should":[94],"also":[96],"maximized.":[97],"contribution":[99],"on":[104],"proposing":[105],"a":[106,117],"probabilistic":[107],"approach":[108],"jointly":[110,151],"maximizing":[111],"two":[113],"aforementioned":[114],"quantities":[115],"view":[118],"automate":[120],"learning.":[125],"Experimental":[126],"results":[127],"show":[128],"superiority":[130],"proposed":[133],"method":[134],"against":[135],"various":[136],"baselines":[137],"verify":[139],"assumption":[141],"that":[142],"significant":[143],"performance":[144],"improvement":[145],"cannot":[146],"achieved":[148],"unless":[149],"we":[150],"consider":[152],"samples'":[154],"informativeness":[155],"oracle's":[158],"confidence.":[159]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}