{"id":"https://openalex.org/W2740361506","doi":"https://doi.org/10.24963/ijcai.2017/454","title":"Learning Discriminative Correlation Subspace for Heterogeneous Domain Adaptation","display_name":"Learning Discriminative Correlation Subspace for Heterogeneous Domain Adaptation","publication_year":2017,"publication_date":"2017-07-28","ids":{"openalex":"https://openalex.org/W2740361506","doi":"https://doi.org/10.24963/ijcai.2017/454","mag":"2740361506"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2017/454","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/454","pdf_url":"https://www.ijcai.org/proceedings/2017/0454.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2017/0454.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060956246","display_name":"Yuguang Yan","orcid":"https://orcid.org/0000-0001-9879-4758"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuguang Yan","raw_affiliation_strings":["School of Software Engineering, South China University of Technology","School of Software Engineering, South China University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100320282","display_name":"Wen Li","orcid":"https://orcid.org/0000-0002-7477-3511"},"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","Computer Vision Laboratory, ETH Zurich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision Laboratory, ETH Zurich","institution_ids":["https://openalex.org/I35440088"]},{"raw_affiliation_string":"Computer Vision Laboratory, ETH Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010561682","display_name":"Michael K. Ng","orcid":"https://orcid.org/0000-0001-6833-5227"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Michael Ng","raw_affiliation_strings":["Department of Mathematics, Hong Kong Baptist University","Department of Mathematics, Hong Kong Baptist University, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Hong Kong Baptist University","institution_ids":["https://openalex.org/I141568987"]},{"raw_affiliation_string":"Department of Mathematics, Hong Kong Baptist University, Hong Kong, China","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032352025","display_name":"Mingkui Tan","orcid":"https://orcid.org/0000-0001-8856-756X"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingkui Tan","raw_affiliation_strings":["School of Software Engineering, South China University of Technology","School of Software Engineering, South China University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089907983","display_name":"Hanrui Wu","orcid":"https://orcid.org/0000-0003-3565-6635"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanrui Wu","raw_affiliation_strings":["School of Software Engineering, South China University of Technology","School of Software Engineering, South China University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041506521","display_name":"Huaqing Min","orcid":"https://orcid.org/0000-0003-3763-2856"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaqing Min","raw_affiliation_strings":["School of Software Engineering, South China University of Technology","School of Software Engineering, South China University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023130798","display_name":"Qingyao Wu","orcid":"https://orcid.org/0000-0002-6771-3932"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingyao Wu","raw_affiliation_strings":["School of Software Engineering, South China University of Technology","School of Software Engineering, South China University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":61,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3252","last_page":"3258"},"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":0.9993000030517578,"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":0.9993000030517578,"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/T11243","display_name":"Respiratory viral infections research","score":0.9657999873161316,"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/T12676","display_name":"Machine Learning and ELM","score":0.9606000185012817,"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/discriminative-model","display_name":"Discriminative model","score":0.9399806261062622},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.8561232089996338},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.7401301860809326},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7087997198104858},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.693911075592041},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6313701868057251},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6189414858818054},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.6040990352630615},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.49117204546928406},{"id":"https://openalex.org/keywords/canonical-correlation","display_name":"Canonical correlation","score":0.42441222071647644},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3372992277145386},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26667457818984985}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.9399806261062622},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.8561232089996338},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.7401301860809326},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7087997198104858},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.693911075592041},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6313701868057251},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6189414858818054},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.6040990352630615},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.49117204546928406},{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.42441222071647644},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3372992277145386},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26667457818984985},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2017/454","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/454","pdf_url":"https://www.ijcai.org/proceedings/2017/0454.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2017/454","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/454","pdf_url":"https://www.ijcai.org/proceedings/2017/0454.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1352119025","display_name":null,"funder_award_id":"61602185","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2710342314","display_name":null,"funder_award_id":"61502177","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3016639264","display_name":null,"funder_award_id":"12302715","funder_id":"https://openalex.org/F4320320955","funder_display_name":"Hong Kong Baptist University"},{"id":"https://openalex.org/G8130193286","display_name":null,"funder_award_id":"12306616","funder_id":"https://openalex.org/F4320320955","funder_display_name":"Hong Kong Baptist University"}],"funders":[{"id":"https://openalex.org/F4320320955","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2740361506.pdf","grobid_xml":"https://content.openalex.org/works/W2740361506.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W46086471","https://openalex.org/W1576445103","https://openalex.org/W1677409904","https://openalex.org/W1722318740","https://openalex.org/W1834646128","https://openalex.org/W1982696459","https://openalex.org/W1985697265","https://openalex.org/W2009668020","https://openalex.org/W2046385669","https://openalex.org/W2047631354","https://openalex.org/W2057408422","https://openalex.org/W2062518264","https://openalex.org/W2090923791","https://openalex.org/W2099501835","https://openalex.org/W2124961556","https://openalex.org/W2132898581","https://openalex.org/W2153867457","https://openalex.org/W2155541015","https://openalex.org/W2164278908","https://openalex.org/W2165698076","https://openalex.org/W2170607218","https://openalex.org/W2210451858","https://openalex.org/W2280985394","https://openalex.org/W2418667810","https://openalex.org/W2422697180","https://openalex.org/W2568148245","https://openalex.org/W2953265577","https://openalex.org/W3120421331","https://openalex.org/W4292363360","https://openalex.org/W4294375521"],"related_works":["https://openalex.org/W2093195256","https://openalex.org/W2154562908","https://openalex.org/W2007593166","https://openalex.org/W1603777065","https://openalex.org/W2143234973","https://openalex.org/W2397292208","https://openalex.org/W4221136059","https://openalex.org/W1548677759","https://openalex.org/W2123957576","https://openalex.org/W2026584557"],"abstract_inverted_index":{"Domain":[0],"adaptation":[1,23,49],"aims":[2],"to":[3,61,95,112,135,157],"reduce":[4],"the":[5,30,34,46,63,69,81,86,97,101,115,120,137,150,153,158],"effort":[6],"on":[7,144],"collecting":[8],"and":[9,36,71,88,91,119],"annotating":[10],"target":[11,37,72,89,102,121],"data":[12,147],"by":[13],"leveraging":[14],"knowledge":[15],"from":[16,80],"a":[17,57,107],"different":[18],"source":[19,35,70,87],"domain.":[20],"The":[21,74],"domain":[22,48,103,122],"problem":[24],"will":[25],"become":[26],"extremely":[27],"challenging":[28],"when":[29],"feature":[31],"spaces":[32],"of":[33,131,152],"domains":[38],"are":[39],"different,":[40],"which":[41],"is":[42,78,92],"also":[43],"known":[44],"as":[45],"heterogeneous":[47],"(HDA)":[50],"problem.":[51,141],"In":[52],"this":[53],"paper,":[54],"we":[55],"propose":[56],"novel":[58],"HDA":[59],"method":[60,130,155],"find":[62],"optimal":[64],"discriminative":[65,75,98,116],"correlation":[66,76,83,117],"subspace":[67,77,84,118],"for":[68,100],"data.":[73],"inherited":[79],"canonical":[82],"between":[85],"data,":[90],"further":[93],"optimized":[94],"maximize":[96],"ability":[99],"classifier.":[104,123],"We":[105,124],"formulate":[106],"joint":[108],"objective":[109],"in":[110],"order":[111],"simultaneously":[113],"learn":[114],"then":[125],"apply":[126],"an":[127],"alternating":[128],"direction":[129],"multiplier":[132],"(ADMM)":[133],"algorithm":[134],"address":[136],"resulting":[138],"non-convex":[139],"optimization":[140],"Comprehensive":[142],"experiments":[143],"two":[145],"real-world":[146],"sets":[148],"demonstrate":[149],"effectiveness":[151],"proposed":[154],"compared":[156],"state-of-the-art":[159],"methods.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}