{"id":"https://openalex.org/W2123921497","doi":"https://doi.org/10.1109/cvpr.2012.6248112","title":"Online incremental attribute-based zero-shot learning","display_name":"Online incremental attribute-based zero-shot learning","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2123921497","doi":"https://doi.org/10.1109/cvpr.2012.6248112","mag":"2123921497"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2012.6248112","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6248112","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/A5023091655","display_name":"P. Kankuekul","orcid":null},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"P. Kankuekul","raw_affiliation_strings":["Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Japan","Department of Computational Intelligence and Systems Science,Tokyo Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Japan","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Department of Computational Intelligence and Systems Science,Tokyo Institute of Technology","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031751594","display_name":"Aram Kawewong","orcid":null},"institutions":[{"id":"https://openalex.org/I48076826","display_name":"Chiang Mai University","ror":"https://ror.org/05m2fqn25","country_code":"TH","type":"education","lineage":["https://openalex.org/I48076826"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"A. Kawewong","raw_affiliation_strings":["Department of Computer Engineering, Chiang Mai University, Thailand","Department of Computer Engineering, Chiang Mai University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Chiang Mai University, Thailand","institution_ids":["https://openalex.org/I48076826"]},{"raw_affiliation_string":"Department of Computer Engineering, Chiang Mai University","institution_ids":["https://openalex.org/I48076826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066123117","display_name":"Sirinart Tangruamsub","orcid":null},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"S. Tangruamsub","raw_affiliation_strings":["Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Japan","Department of Computational Intelligence and Systems Science,Tokyo Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Japan","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Department of Computational Intelligence and Systems Science,Tokyo Institute of Technology","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113788579","display_name":"Osamu Hasegawa","orcid":null},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"O. Hasegawa","raw_affiliation_strings":["Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Japan","Department of Computational Intelligence and Systems Science,Tokyo Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Japan","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Department of Computational Intelligence and Systems Science,Tokyo Institute of Technology","institution_ids":["https://openalex.org/I114531698"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5023091655"],"corresponding_institution_ids":["https://openalex.org/I114531698"],"apc_list":null,"apc_paid":null,"fwci":11.9374,"has_fulltext":false,"cited_by_count":104,"citation_normalized_percentile":{"value":0.98562833,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3657","last_page":"3664"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","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/T12676","display_name":"Machine Learning and ELM","score":0.9961000084877014,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9864000082015991,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8112295269966125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7092738151550293},{"id":"https://openalex.org/keywords/offline-learning","display_name":"Offline learning","score":0.650753378868103},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5934891700744629},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.5413197875022888},{"id":"https://openalex.org/keywords/online-and-offline","display_name":"Online and offline","score":0.5238432884216309},{"id":"https://openalex.org/keywords/online-learning","display_name":"Online learning","score":0.5146077871322632},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4995613098144531},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.4376484155654907},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41987791657447815},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.41765347123146057},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40827029943466187},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.3318207263946533},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1409289836883545}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8112295269966125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7092738151550293},{"id":"https://openalex.org/C2780490138","wikidata":"https://www.wikidata.org/wiki/Q7079636","display_name":"Offline learning","level":3,"score":0.650753378868103},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5934891700744629},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.5413197875022888},{"id":"https://openalex.org/C2780102126","wikidata":"https://www.wikidata.org/wiki/Q10928179","display_name":"Online and offline","level":2,"score":0.5238432884216309},{"id":"https://openalex.org/C2986087404","wikidata":"https://www.wikidata.org/wiki/Q15946010","display_name":"Online learning","level":2,"score":0.5146077871322632},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4995613098144531},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.4376484155654907},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41987791657447815},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.41765347123146057},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40827029943466187},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.3318207263946533},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1409289836883545},{"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/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.2012.6248112","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6248112","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":[],"funders":[{"id":"https://openalex.org/F4320338075","display_name":"Core Research for Evolutional Science and Technology","ror":"https://ror.org/00097mb19"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1949116567","https://openalex.org/W1968185127","https://openalex.org/W1992454046","https://openalex.org/W1996309403","https://openalex.org/W2061761368","https://openalex.org/W2077071968","https://openalex.org/W2098411764","https://openalex.org/W2108598243","https://openalex.org/W2115733720","https://openalex.org/W2116447720","https://openalex.org/W2118882768","https://openalex.org/W2120250216","https://openalex.org/W2124372976","https://openalex.org/W2133774033","https://openalex.org/W2134270519","https://openalex.org/W2147503291","https://openalex.org/W2154422044","https://openalex.org/W2159680539","https://openalex.org/W2163030924","https://openalex.org/W2164598857","https://openalex.org/W2166049352","https://openalex.org/W3143107425","https://openalex.org/W3188864409","https://openalex.org/W6640791922","https://openalex.org/W6676297131","https://openalex.org/W6677400592","https://openalex.org/W6684103895"],"related_works":["https://openalex.org/W2056744823","https://openalex.org/W2077615731","https://openalex.org/W1559845989","https://openalex.org/W4380558537","https://openalex.org/W4225619808","https://openalex.org/W4318621078","https://openalex.org/W3207447243","https://openalex.org/W3172068781","https://openalex.org/W3144950473","https://openalex.org/W3138976442"],"abstract_inverted_index":{"The":[0],"paper":[1],"presents":[2],"a":[3],"new":[4,72],"online":[5,23,80],"incremental":[6,60,81],"zero-shot":[7],"learning":[8,40,66],"method":[9,44,69,122,129,151],"for":[10,31,180],"applications":[11,181],"in":[12,78,130,182],"robotics":[13,186],"and":[14,27,59,74,135,137,167,185,190,196],"mobile":[15,183],"communications":[16,184],"where":[17,28,156,168,187],"attribute":[18],"labeling":[19],"is":[20,45,177],"obtained":[21],"via":[22,162],"interaction":[24,163],"with":[25,154,164],"users,":[26],"the":[29,42,48,54,65,91,97,100,117,125,140,144,149],"potential":[30],"inconsistency":[32],"exists.":[33],"Unique":[34],"to":[35,96],"most":[36],"previous":[37,126],"offline":[38,93,98,128,146],"batch":[39],"methods,":[41,99],"proposed":[43,118,150],"based":[46],"on":[47],"indirect-attribute-prediction":[49],"(IAP)":[50],"model":[51],"instead":[52],"of":[53,90,116,132,170],"direct-attribute-prediction":[55],"(DAP).":[56],"Using":[57],"self-organizing":[58],"neural":[61],"networks":[62],"(SOINN)":[63],"as":[64,85,88,143],"mechanism,":[67],"our":[68,121],"can":[70,152],"learn":[71],"attributes":[73,77,158,191],"update":[75],"existing":[76],"an":[79],"manner":[82],"while":[83],"retaining":[84],"high":[86],"accuracy":[87,142],"that":[89],"state-of-the-art":[92],"method.":[94,119,147],"Compared":[95],"computation":[101],"time":[102,134],"has":[103],"also":[104],"been":[105],"reduced":[106],"by":[107],"more":[108],"than":[109],"99%.":[110],"Two":[111],"experiments":[112],"evaluated":[113],"two":[114],"aspects":[115],"First,":[120],"clearly":[123],"outperforms":[124],"IAP-based":[127],"terms":[131],"both":[133],"accuracy,":[136],"yield":[138],"approximately":[139],"same":[141],"DAP-based":[145],"Second,":[148],"deal":[153],"situations":[155],"object":[157],"are":[159],"gradually":[160],"labeled":[161],"many":[165],"users":[166],"some":[169,188],"them":[171],"may":[172,192],"be":[173,193,198],"incorrect.":[174],"This":[175],"scenario":[176],"very":[178],"important":[179],"objects":[189],"initially":[194],"unknown":[195],"must":[197],"learnt":[199],"online.":[200]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":14},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":13},{"year":2013,"cited_by_count":6}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
