{"id":"https://openalex.org/W2808223864","doi":"https://doi.org/10.24963/ijcai.2018/134","title":"Uncertainty Sampling for Action Recognition via Maximizing Expected Average Precision","display_name":"Uncertainty Sampling for Action Recognition via Maximizing Expected Average Precision","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2808223864","doi":"https://doi.org/10.24963/ijcai.2018/134","mag":"2808223864"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2018/134","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/134","pdf_url":"https://www.ijcai.org/proceedings/2018/0134.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2018/0134.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051466085","display_name":"Hanmo Wang","orcid":"https://orcid.org/0000-0001-5753-6015"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hanmo Wang","raw_affiliation_strings":["State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, China","University of Chinese Academy of Sciences, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034967388","display_name":"Xiaojun Chang","orcid":"https://orcid.org/0000-0002-7778-8807"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaojun Chang","raw_affiliation_strings":["School of Computer Science, Carnegie Mellon University, Pittsburgh, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Carnegie Mellon University, Pittsburgh, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100658547","display_name":"Lei Shi","orcid":"https://orcid.org/0000-0002-1965-2602"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Shi","raw_affiliation_strings":["State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, China","University of Chinese Academy of Sciences, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005421447","display_name":"Yi Yang","orcid":"https://orcid.org/0000-0002-0512-880X"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yi Yang","raw_affiliation_strings":["Centre for Artificial Intelligence, University of Technology Sydney, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Artificial Intelligence, University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102819706","display_name":"Yi-Dong Shen","orcid":"https://orcid.org/0000-0002-4930-8976"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi-Dong Shen","raw_affiliation_strings":["State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5051466085"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128818","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":1.5244,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.87010688,"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":"964","last_page":"970"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9988999962806702,"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":0.9988999962806702,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9980999827384949,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9950000047683716,"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":0.7814871668815613},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7001940011978149},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6756057739257812},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.5854148268699646},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5398736000061035},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.536162793636322},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4672289788722992},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.45066842436790466},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.41947096586227417},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37031057476997375},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33332985639572144},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.22209781408309937}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7814871668815613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7001940011978149},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6756057739257812},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.5854148268699646},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5398736000061035},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.536162793636322},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4672289788722992},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.45066842436790466},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.41947096586227417},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37031057476997375},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33332985639572144},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.22209781408309937},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"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/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.24963/ijcai.2018/134","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/134","pdf_url":"https://www.ijcai.org/proceedings/2018/0134.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:figshare.com:article/27591699","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/130544","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/130544","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2018/134","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/134","pdf_url":"https://www.ijcai.org/proceedings/2018/0134.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G4304641529","display_name":null,"funder_award_id":"2014CB340301","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335741","display_name":"Data to Decisions Cooperative Research Centres","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2808223864.pdf","grobid_xml":"https://content.openalex.org/works/W2808223864.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1606858007","https://openalex.org/W1920196880","https://openalex.org/W1981781955","https://openalex.org/W1997783035","https://openalex.org/W2008989859","https://openalex.org/W2077906188","https://openalex.org/W2105101328","https://openalex.org/W2114188922","https://openalex.org/W2126574503","https://openalex.org/W2126579184","https://openalex.org/W2127176025","https://openalex.org/W2130492741","https://openalex.org/W2163292664","https://openalex.org/W2169816580","https://openalex.org/W2342049278","https://openalex.org/W2408920689","https://openalex.org/W2460470859","https://openalex.org/W2750023899","https://openalex.org/W2777262900","https://openalex.org/W2903158431","https://openalex.org/W2951911250","https://openalex.org/W2962923325","https://openalex.org/W4237044863","https://openalex.org/W4300485654"],"related_works":["https://openalex.org/W2959160600","https://openalex.org/W2142113611","https://openalex.org/W2119956050","https://openalex.org/W2982642565","https://openalex.org/W4205118967","https://openalex.org/W2056065776","https://openalex.org/W4324301570","https://openalex.org/W2113421559","https://openalex.org/W2551337514","https://openalex.org/W2135622761"],"abstract_inverted_index":{"Recognizing":[0],"human":[1],"actions":[2],"in":[3,11,100,115],"video":[4,42],"clips":[5],"has":[6],"been":[7],"an":[8,107],"important":[9],"topic":[10],"computer":[12],"vision.":[13],"Sufficient":[14],"labeled":[15],"data":[16],"is":[17,44,51,80,106,112,121],"one":[18,52],"of":[19,26],"the":[20,23,38,56,61,65,82,116,124,127],"prerequisites":[21],"for":[22,70,140],"good":[24],"performance":[25],"action":[27,101,141,152],"recognition":[28,102,142,153],"algorithms.":[29,165],"However,":[30,99],"while":[31],"abundant":[32],"videos":[33],"can":[34],"be":[35],"collected":[36],"from":[37],"Internet,":[39],"categorizing":[40],"each":[41],"clip":[43],"tedious":[45],"and":[46,155],"even":[47],"time-consuming.":[48],"Active":[49],"learning":[50,76,118,164],"way":[53],"to":[54,63],"alleviate":[55],"labeling":[57],"labor":[58],"by":[59],"allowing":[60],"classifier":[62],"choose":[64],"most":[66,83],"informative":[67],"unlabeled":[68],"instances":[69],"manual":[71],"annotation.":[72],"Among":[73],"various":[74],"active":[75,117,163],"algorithms,":[77],"uncertainty":[78,87,137],"sampling":[79,88,138],"arguably":[81],"widely-used":[84],"strategy.":[85],"Conventional":[86],"strategies":[89],"such":[90],"as":[91,123],"entropy-based":[92],"methods":[93],"are":[94],"usually":[95],"tested":[96],"under":[97,126],"accuracy.":[98],"Average":[103],"Precision":[104],"(AP)":[105],"acknowledged":[108],"evaluation":[109],"metric,":[110],"which":[111],"somehow":[113],"ignored":[114],"community.":[119],"It":[120],"defined":[122],"area":[125],"precision-recall":[128],"curve.":[129],"In":[130],"this":[131],"paper,":[132],"we":[133],"propose":[134],"a":[135],"novel":[136],"algorithm":[139,159],"using":[143],"expected":[144],"AP.":[145],"We":[146],"conduct":[147],"experiments":[148],"on":[149],"three":[150],"real-world":[151],"datasets":[154],"show":[156],"that":[157],"our":[158],"outperforms":[160],"other":[161],"uncertainty-based":[162]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}