{"id":"https://openalex.org/W2614424296","doi":"https://doi.org/10.1109/tpami.2017.2704624","title":"Domain Generalization and Adaptation Using Low Rank Exemplar SVMs","display_name":"Domain Generalization and Adaptation Using Low Rank Exemplar SVMs","publication_year":2017,"publication_date":"2017-05-16","ids":{"openalex":"https://openalex.org/W2614424296","doi":"https://doi.org/10.1109/tpami.2017.2704624","mag":"2614424296","pmid":"https://pubmed.ncbi.nlm.nih.gov/28534767"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2017.2704624","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2017.2704624","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100719271","display_name":"Wen Li","orcid":"https://orcid.org/0000-0002-5559-8594"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Wen Li","raw_affiliation_strings":["Computer Vision Laboratory, ETH Zurich, Switzerland"],"raw_orcid":"https://orcid.org/0000-0002-5559-8594","affiliations":[{"raw_affiliation_string":"Computer Vision Laboratory, ETH Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101651952","display_name":"Zheng Xu","orcid":"https://orcid.org/0000-0002-9811-2646"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zheng Xu","raw_affiliation_strings":["Department of Computer Science, University of Maryland, College Park, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Maryland, College Park, MD","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101961095","display_name":"Dong Xu","orcid":"https://orcid.org/0000-0003-1165-0183"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Dong Xu","raw_affiliation_strings":["School of Electrical and Information Engineering, The University of Sydney, Sydney, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0003-1165-0183","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, The University of Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078838951","display_name":"Dengxin Dai","orcid":"https://orcid.org/0000-0001-5440-9678"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Dengxin Dai","raw_affiliation_strings":["Computer Vision Laboratory, ETH Zurich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision Laboratory, ETH Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001254143","display_name":"Luc Van Gool","orcid":"https://orcid.org/0000-0002-3445-5711"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Luc Van Gool","raw_affiliation_strings":["Computer Vision Laboratory, ETH Zurich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision Laboratory, ETH Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":13.3585,"has_fulltext":false,"cited_by_count":137,"citation_normalized_percentile":{"value":0.98972203,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"40","issue":"5","first_page":"1114","last_page":"1127"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9763000011444092,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.968999981880188,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7604493498802185},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7010505199432373},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.63963383436203},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5932388305664062},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5921014547348022},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5545237064361572},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.49193549156188965},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4563092291355133},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4468402564525604},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2614890933036804}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7604493498802185},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7010505199432373},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.63963383436203},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5932388305664062},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5921014547348022},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5545237064361572},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.49193549156188965},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4563092291355133},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4468402564525604},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2614890933036804},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tpami.2017.2704624","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2017.2704624","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:28534767","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28534767","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/131448","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/131448","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":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322622","display_name":"Toyota Motor Corporation","ror":"https://ror.org/02zqm6r10"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W96659543","https://openalex.org/W1565327149","https://openalex.org/W1722318740","https://openalex.org/W1822439997","https://openalex.org/W1852255964","https://openalex.org/W1882958252","https://openalex.org/W1911722691","https://openalex.org/W1920962657","https://openalex.org/W1943722231","https://openalex.org/W1966026565","https://openalex.org/W1981658663","https://openalex.org/W1989684337","https://openalex.org/W2005295545","https://openalex.org/W2008635359","https://openalex.org/W2018096278","https://openalex.org/W2064447488","https://openalex.org/W2068611653","https://openalex.org/W2090923791","https://openalex.org/W2095723734","https://openalex.org/W2099501835","https://openalex.org/W2103851188","https://openalex.org/W2103972604","https://openalex.org/W2104068492","https://openalex.org/W2104094955","https://openalex.org/W2112483442","https://openalex.org/W2114623790","https://openalex.org/W2118550318","https://openalex.org/W2120149881","https://openalex.org/W2128053425","https://openalex.org/W2140177290","https://openalex.org/W2149466042","https://openalex.org/W2155858138","https://openalex.org/W2155893237","https://openalex.org/W2157989183","https://openalex.org/W2159291411","https://openalex.org/W2159570078","https://openalex.org/W2163605009","https://openalex.org/W2165644552","https://openalex.org/W2166070055","https://openalex.org/W2170607218","https://openalex.org/W2171322814","https://openalex.org/W2201792562","https://openalex.org/W2212660284","https://openalex.org/W2214409633","https://openalex.org/W2299668505","https://openalex.org/W2331410889","https://openalex.org/W2478454054","https://openalex.org/W2522042420","https://openalex.org/W2962998867","https://openalex.org/W2963113185","https://openalex.org/W2963826681","https://openalex.org/W6633949838","https://openalex.org/W6637542466","https://openalex.org/W6639105354","https://openalex.org/W6639480849","https://openalex.org/W6674378708","https://openalex.org/W6675410418","https://openalex.org/W6676840641","https://openalex.org/W6681637710","https://openalex.org/W6683032868","https://openalex.org/W6683124652","https://openalex.org/W6683633756","https://openalex.org/W6684191040","https://openalex.org/W6684671274","https://openalex.org/W6688325169","https://openalex.org/W6697673422","https://openalex.org/W6727368083"],"related_works":["https://openalex.org/W3080655457","https://openalex.org/W2145868540","https://openalex.org/W4389474468","https://openalex.org/W3166286441","https://openalex.org/W3214142563","https://openalex.org/W3136267388","https://openalex.org/W4287263085","https://openalex.org/W3186065094","https://openalex.org/W3204418343","https://openalex.org/W3093803318"],"abstract_inverted_index":{"Domain":[0,211],"adaptation":[1,44,235,268],"between":[2,152],"diverse":[3],"source":[4,53,107],"and":[5,20,42,67,77,145,155,172,187,224,254,266,271],"target":[6,161,219,238,242,273],"domains":[7],"is":[8,73,78,199,245],"challenging,":[9],"especially":[10],"in":[11,26,119,159],"the":[12,18,52,103,116,123,135,138,149,156,160,169,204,241,258],"real-world":[13],"visual":[14],"recognition":[15,253,256],"tasks":[16],"where":[17,240],"images":[19],"videos":[21],"consist":[22],"of":[23,59,97,106,206,260],"significant":[24],"variations":[25],"viewpoints,":[27],"illuminations,":[28],"qualities,":[29],"etc.":[30],"In":[31,134],"this":[32],"paper,":[33],"we":[34,50,93,109],"propose":[35],"a":[36,82,95,111,128],"new":[37],"approach":[38,166,228,262],"for":[39,90,202,221,251,263],"domain":[40,43,54,222,234,264,267],"generalization":[41,265],"based":[45,113,167],"on":[46,131,168],"exemplar":[47,88,98,124,140,184,190],"SVMs.":[48,99],"Specifically,":[49],"decompose":[51],"into":[55,115],"many":[56],"subdomains,":[57],"each":[58,91,153],"which":[60,177],"contains":[61],"only":[62],"one":[63,87],"positive":[64],"training":[65,86,132,205],"sample":[66,158],"all":[68],"negative":[69],"samples.":[70,133],"Each":[71],"subdomain":[72,154],"relatively":[74],"less":[75],"diverse,":[76],"expected":[79],"to":[80,121,126,148,180,215,233],"have":[81],"simpler":[83],"distribution.":[84],"By":[85],"SVM":[89,141,175],"subdomain,":[92],"obtain":[94],"set":[96],"To":[100],"further":[101,209],"exploit":[102],"inherent":[104],"structure":[105],"domain,":[108,239],"introduce":[110],"nuclear-norm":[112],"regularizer":[114],"objective":[117],"function":[118],"order":[120],"enforce":[122],"SVMs":[125,185,193],"produce":[127],"low-rank":[129],"output":[130],"prediction":[136],"process,":[137],"confident":[139],"classifiers":[142],"are":[143,178],"selected":[144],"reweigted":[146],"according":[147],"distribution":[150,244],"mismatch":[151],"test":[157],"domain.":[162],"We":[163,208],"formulate":[164],"our":[165,227,261],"logistic":[170],"regression":[171],"least":[173,191],"square":[174,192],"algorithms,":[176],"referred":[179],"as":[181],"low":[182,188],"rank":[183,189],"(LRE-SVMs)":[186],"(LRE-LSSVMs),":[194],"respectively.":[195],"A":[196],"fast":[197],"algorithm":[198],"also":[200,230],"developed":[201],"accelerating":[203],"LRE-LSSVMs.":[207],"extend":[210],"Adaptation":[212],"Machine":[213],"(DAM)":[214],"learn":[216],"an":[217],"optimal":[218],"classifier":[220],"adaptation,":[223],"show":[225],"that":[226],"can":[229],"be":[231],"applied":[232],"with":[236,269],"evolving":[237,272],"data":[243],"gradually":[246],"changing.":[247],"The":[248],"comprehensive":[249],"experiments":[250],"object":[252],"action":[255],"demonstrate":[257],"effectiveness":[259],"fixed":[270],"domains.":[274]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":30},{"year":2020,"cited_by_count":22},{"year":2019,"cited_by_count":21},{"year":2018,"cited_by_count":18},{"year":2017,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}