{"id":"https://openalex.org/W4317520071","doi":"https://doi.org/10.1142/s0218001423510023","title":"Domain-Invariant Feature Learning for Domain Adaptation","display_name":"Domain-Invariant Feature Learning for Domain Adaptation","publication_year":2023,"publication_date":"2023-01-20","ids":{"openalex":"https://openalex.org/W4317520071","doi":"https://doi.org/10.1142/s0218001423510023"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001423510023","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001423510023","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-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/A5063924054","display_name":"Ching\u2010Ting Tu","orcid":"https://orcid.org/0000-0003-2410-726X"},"institutions":[{"id":"https://openalex.org/I162838928","display_name":"National Chung Hsing University","ror":"https://ror.org/05vn3ca78","country_code":"TW","type":"education","lineage":["https://openalex.org/I162838928"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ching-Ting Tu","raw_affiliation_strings":["Department of Applied Mathematics, National Chung Hsing University, Taichung 401, Taiwan, R.O.C"],"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics, National Chung Hsing University, Taichung 401, Taiwan, R.O.C","institution_ids":["https://openalex.org/I162838928"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103166549","display_name":"Hsiau-Wen Lin","orcid":"https://orcid.org/0009-0001-7874-1605"},"institutions":[{"id":"https://openalex.org/I107470533","display_name":"Tamkang University","ror":"https://ror.org/04tft4718","country_code":"TW","type":"education","lineage":["https://openalex.org/I107470533"]},{"id":"https://openalex.org/I78768145","display_name":"Chihlee Institute of Technology","ror":"https://ror.org/02pcbw160","country_code":"TW","type":"education","lineage":["https://openalex.org/I78768145"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsiau-Wen Lin","raw_affiliation_strings":["Department of Computer Science and Information Engineering, Tamkang University, Tamsui Dist., New Taipei City 251, Taiwan, R.O.C","Department of Information Management, Chihlee University of Technology, Banqiao Dist., New Taipei City 220305, Taiwan, R.O.C"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Tamkang University, Tamsui Dist., New Taipei City 251, Taiwan, R.O.C","institution_ids":["https://openalex.org/I107470533"]},{"raw_affiliation_string":"Department of Information Management, Chihlee University of Technology, Banqiao Dist., New Taipei City 220305, Taiwan, R.O.C","institution_ids":["https://openalex.org/I78768145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066474338","display_name":"Hwei-Jen Lin","orcid":"https://orcid.org/0000-0002-1539-233X"},"institutions":[{"id":"https://openalex.org/I107470533","display_name":"Tamkang University","ror":"https://ror.org/04tft4718","country_code":"TW","type":"education","lineage":["https://openalex.org/I107470533"]},{"id":"https://openalex.org/I78768145","display_name":"Chihlee Institute of Technology","ror":"https://ror.org/02pcbw160","country_code":"TW","type":"education","lineage":["https://openalex.org/I78768145"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Hwei Jen Lin","raw_affiliation_strings":["Department of Computer Science and Information Engineering, Tamkang University, Tamsui Dist., New Taipei City 251, Taiwan, R.O.C","Department of Information Management, Chihlee University of Technology, Banqiao Dist., New Taipei City 220305, Taiwan, R.O.C"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Tamkang University, Tamsui Dist., New Taipei City 251, Taiwan, R.O.C","institution_ids":["https://openalex.org/I107470533"]},{"raw_affiliation_string":"Department of Information Management, Chihlee University of Technology, Banqiao Dist., New Taipei City 220305, Taiwan, R.O.C","institution_ids":["https://openalex.org/I78768145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030419941","display_name":"Yoshimasa Tokuyama","orcid":"https://orcid.org/0009-0006-7123-5183"},"institutions":[{"id":"https://openalex.org/I31618427","display_name":"Tokyo Polytechnic University","ror":"https://ror.org/035kpke84","country_code":"JP","type":"education","lineage":["https://openalex.org/I31618427"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshimasa Tokuyama","raw_affiliation_strings":["Department of Media and Image Technology, Faculty of Engineering, Tokyo Polytechnic University, Tokyo 164-8678, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Media and Image Technology, Faculty of Engineering, Tokyo Polytechnic University, Tokyo 164-8678, Japan","institution_ids":["https://openalex.org/I31618427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101360610","display_name":"Chia-Hung Chu","orcid":null},"institutions":[{"id":"https://openalex.org/I107470533","display_name":"Tamkang University","ror":"https://ror.org/04tft4718","country_code":"TW","type":"education","lineage":["https://openalex.org/I107470533"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chia-Hung Chu","raw_affiliation_strings":["Department of Computer Science and Information Engineering, Tamkang University, Tamsui Dist., New Taipei City 251, Taiwan, R.O.C"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Tamkang University, Tamsui Dist., New Taipei City 251, Taiwan, R.O.C","institution_ids":["https://openalex.org/I107470533"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5066474338"],"corresponding_institution_ids":["https://openalex.org/I107470533","https://openalex.org/I78768145"],"apc_list":null,"apc_paid":null,"fwci":0.6959,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74087023,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"37","issue":"03","first_page":null,"last_page":null},"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":0.9994999766349792,"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":0.9994999766349792,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9340999722480774,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9222000241279602,"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/domain-adaptation","display_name":"Domain adaptation","score":0.6360378861427307},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.6343938112258911},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6175486445426941},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5811914205551147},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5521661639213562},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.547010600566864},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5426549911499023},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3708130717277527},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32314956188201904},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.06539177894592285}],"concepts":[{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.6360378861427307},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.6343938112258911},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6175486445426941},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5811914205551147},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5521661639213562},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.547010600566864},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5426549911499023},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3708130717277527},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32314956188201904},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.06539177894592285},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1142/s0218001423510023","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001423510023","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:tkuir.lib.tku.edu.tw:987654321/122961","is_oa":false,"landing_page_url":"https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/122961","pdf_url":null,"source":{"id":"https://openalex.org/S4406922698","display_name":"Tamkang University Institutional Repository (TKUIR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6259098584","display_name":null,"funder_award_id":"MOST 110-2221-E-032-031","funder_id":"https://openalex.org/F4320321040","funder_display_name":"National Science Council"}],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2100659887","https://openalex.org/W2112796928","https://openalex.org/W2117539524","https://openalex.org/W2164943005","https://openalex.org/W2594481151","https://openalex.org/W3039300151","https://openalex.org/W3039883906"],"related_works":["https://openalex.org/W1864954421","https://openalex.org/W2015538044","https://openalex.org/W2025991752","https://openalex.org/W2319337512","https://openalex.org/W2052253960","https://openalex.org/W2480412556","https://openalex.org/W2382607599","https://openalex.org/W2016461833","https://openalex.org/W3197541072","https://openalex.org/W2760085659"],"abstract_inverted_index":{"Unsupervised":[0],"domain":[1,14,18,113],"adaptation":[2,114],"(UDA)":[3],"mainly":[4],"explores":[5],"how":[6],"to":[7,63,122,125],"learn":[8,23],"domain-invariant":[9,24,97],"features":[10,25],"from":[11,32,52],"the":[12,16,28,36,45,53,65,77,128,131,139,161],"source":[13],"when":[15],"target":[17],"label":[19],"is":[20,58,74,138],"unknown.":[21],"To":[22,134],"requires":[26],"aligning":[27],"distribution":[29],"of":[30,50,69,96,130],"samples":[31,51],"two":[33,54,132],"domains":[34],"in":[35,76],"feature":[37,98],"space,":[38],"which":[39],"can":[40,86],"be":[41,87],"achieved":[42],"by":[43],"minimizing":[44],"maximum":[46],"mean":[47],"discrepancy":[48],"(MMD)":[49],"domains.":[55],"However,":[56],"there":[57],"still":[59],"no":[60],"effective":[61],"way":[62],"find":[64],"best":[66],"parameter":[67],"values":[68],"MMD.":[70],"Such":[71],"a":[72,94,111,149],"problem":[73],"addressed":[75],"MMD":[78,153,172],"with":[79,154],"deep":[80,155],"kernels":[81],"(MMD-D),":[82],"whose":[83,102],"optimal":[84],"parameters":[85],"obtained":[88],"through":[89],"training.":[90],"This":[91],"study":[92],"proposes":[93],"method":[95,142,163],"learning":[99],"for":[100],"UDA,":[101],"architecture,":[103],"named":[104],"MMDDCDA,":[105],"comprises":[106],"an":[107],"MMD-D":[108],"module":[109],"and":[110,174],"cross":[112],"(CDA)":[115],"module.":[116],"MMDDCDA":[117],"performs":[118,144],"alternating":[119,146],"training":[120,124,147],"similar":[121],"adversarial":[123],"alternately":[126],"boost":[127],"power":[129],"modules.":[133],"our":[135],"knowledge,":[136],"this":[137],"first":[140],"UDA":[141,150,168,176],"that":[143,160],"such":[145],"on":[148],"architecture":[151],"using":[152,170],"kernels.":[156],"Experimental":[157],"validation":[158],"showed":[159],"proposed":[162],"yields":[164],"state-of-the-art":[165],"results":[166],"among":[167],"methods":[169],"other":[171],"variants":[173],"some":[175],"benchmarks.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
