{"id":"https://openalex.org/W2089685866","doi":"https://doi.org/10.1109/cvpr.2012.6247924","title":"Robust visual domain adaptation with low-rank reconstruction","display_name":"Robust visual domain adaptation with low-rank reconstruction","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2089685866","doi":"https://doi.org/10.1109/cvpr.2012.6247924","mag":"2089685866"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2012.6247924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6247924","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/A5075510768","display_name":"I\u2010Hong Jhuo","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]},{"id":"https://openalex.org/I4210098366","display_name":"Institute of Information Science, Academia Sinica","ror":"https://ror.org/00z83z196","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210098366","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"I-Hong Jhuo","raw_affiliation_strings":["Department of CSIE, National Taiwan University, Taipei, Taiwan","Institute of Information Science, Academia Sinica, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of CSIE, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"Institute of Information Science, Academia Sinica, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210098366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101845741","display_name":"Dong Liu","orcid":"https://orcid.org/0000-0002-7350-933X"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dong Liu","raw_affiliation_strings":["Department of Electrical Engineering, Columbia University, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109621956","display_name":"D. T. Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]},{"id":"https://openalex.org/I4210098366","display_name":"Institute of Information Science, Academia Sinica","ror":"https://ror.org/00z83z196","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210098366","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"D. T. Lee","raw_affiliation_strings":["Department of CSIE, National Taiwan University, Taipei, Taiwan","Institute of Information Science, Academia Sinica, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of CSIE, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"Institute of Information Science, Academia Sinica, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210098366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069745958","display_name":"Shih-Fu Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shih-Fu Chang","raw_affiliation_strings":["Department of Electrical Engineering, Columbia University, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5075510768"],"corresponding_institution_ids":["https://openalex.org/I16733864","https://openalex.org/I4210098366"],"apc_list":null,"apc_paid":null,"fwci":34.4858,"has_fulltext":false,"cited_by_count":319,"citation_normalized_percentile":{"value":0.99784155,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2168","last_page":"2175"},"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/T10981","display_name":"Cytomegalovirus and herpesvirus research","score":0.9854999780654907,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9794999957084656,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/outlier","display_name":"Outlier","score":0.7044477462768555},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6783257126808167},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5584732890129089},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5545852184295654},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5310537815093994},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.46921148896217346},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.4528156816959381},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4132942259311676},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.41025733947753906},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39001721143722534},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38993486762046814},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3624509572982788},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21117320656776428}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7044477462768555},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6783257126808167},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5584732890129089},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5545852184295654},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5310537815093994},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.46921148896217346},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.4528156816959381},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4132942259311676},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.41025733947753906},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39001721143722534},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38993486762046814},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3624509572982788},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21117320656776428},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2012.6247924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6247924","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"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.394.303","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.394.303","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ee.columbia.edu/ln/dvmm/publications/12/DomainAdaptation.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W79405465","https://openalex.org/W1722318740","https://openalex.org/W1736339626","https://openalex.org/W1871180460","https://openalex.org/W1978920452","https://openalex.org/W2018096278","https://openalex.org/W2086953401","https://openalex.org/W2090923791","https://openalex.org/W2099501835","https://openalex.org/W2103972604","https://openalex.org/W2104094955","https://openalex.org/W2107250100","https://openalex.org/W2120354757","https://openalex.org/W2120559187","https://openalex.org/W2120708938","https://openalex.org/W2124608575","https://openalex.org/W2128053425","https://openalex.org/W2131628350","https://openalex.org/W2136504847","https://openalex.org/W2145962650","https://openalex.org/W2151103935","https://openalex.org/W2156940638","https://openalex.org/W2160039895","https://openalex.org/W2169495281","https://openalex.org/W2172188317","https://openalex.org/W2611328865","https://openalex.org/W2913340405","https://openalex.org/W2950109329","https://openalex.org/W6603183647","https://openalex.org/W6637542466","https://openalex.org/W6639239318","https://openalex.org/W6676141320","https://openalex.org/W6677732433","https://openalex.org/W6680140577","https://openalex.org/W6682974852","https://openalex.org/W6683390231","https://openalex.org/W6929385289"],"related_works":["https://openalex.org/W3006513224","https://openalex.org/W2046456988","https://openalex.org/W2357409937","https://openalex.org/W2510582230","https://openalex.org/W2978674666","https://openalex.org/W2074430941","https://openalex.org/W2113096305","https://openalex.org/W1977636359","https://openalex.org/W2772305933","https://openalex.org/W2580722822"],"abstract_inverted_index":{"Visual":[0],"domain":[1,14,43,55,104,164],"adaptation":[2,93,151,165],"addresses":[3],"the":[4,8,12,16,20,26,42,49,53,71,74,78,84,88,92,97,102,137,144,155,162],"problem":[5,119],"of":[6,11,73,87],"adapting":[7],"sample":[9,65],"distribution":[10,44],"source":[13,54,64,89,103],"to":[15,40],"target":[17,75],"domain,":[18],"where":[19],"recognition":[21],"task":[22],"is":[23],"intended":[24],"but":[25],"data":[27],"distributions":[28],"are":[29],"different.":[30],"In":[31],"this":[32],"paper,":[33],"we":[34,47],"present":[35],"a":[36,121],"low-rank":[37],"reconstruction":[38],"method":[39,82,142,157],"reduce":[41],"disparity.":[45],"Specifically,":[46],"transform":[48],"visual":[50,150],"samples":[51,72,90],"in":[52,101],"into":[56],"an":[57],"intermediate":[58],"representation":[59],"such":[60],"that":[61,105,154],"each":[62],"transformed":[63],"can":[66],"be":[67,107],"linearly":[68],"reconstructed":[69],"by":[70],"domain.":[76],"Unlike":[77],"existing":[79],"work,":[80],"our":[81,118],"captures":[83],"intrinsic":[85],"relatedness":[86],"during":[91],"process":[94],"while":[95],"uncovering":[96],"noises":[98],"and":[99,125,134,159],"outliers":[100],"cannot":[106],"adapted,":[108],"making":[109],"it":[110],"more":[111],"robust":[112],"than":[113],"previous":[114],"methods.":[115,166],"We":[116],"formulate":[117],"as":[120],"constrained":[122],"nuclear":[123],"norm":[124,131],"\u2113":[126],"<sub":[127],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[128],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2,":[129],"1</sub>":[130],"minimization":[132],"objective":[133],"then":[135],"adopt":[136],"Augmented":[138],"Lagrange":[139],"Multiplier":[140],"(ALM)":[141],"for":[143],"optimization.":[145],"Extensive":[146],"experiments":[147],"on":[148],"various":[149],"tasks":[152],"show":[153],"proposed":[156],"consistently":[158],"significantly":[160],"beats":[161],"state-of-the-art":[163]},"counts_by_year":[{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":27},{"year":2020,"cited_by_count":29},{"year":2019,"cited_by_count":35},{"year":2018,"cited_by_count":42},{"year":2017,"cited_by_count":29},{"year":2016,"cited_by_count":35},{"year":2015,"cited_by_count":32},{"year":2014,"cited_by_count":30},{"year":2013,"cited_by_count":15},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}