{"id":"https://openalex.org/W2999918589","doi":"https://doi.org/10.1109/tnnls.2019.2957229","title":"LogDet Metric-Based Domain Adaptation","display_name":"LogDet Metric-Based Domain Adaptation","publication_year":2020,"publication_date":"2020-01-10","ids":{"openalex":"https://openalex.org/W2999918589","doi":"https://doi.org/10.1109/tnnls.2019.2957229","mag":"2999918589","pmid":"https://pubmed.ncbi.nlm.nih.gov/31940557"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2019.2957229","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2019.2957229","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Neural Networks and Learning Systems","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/A5056810715","display_name":"Youfa Liu","orcid":"https://orcid.org/0000-0002-3540-5775"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youfa Liu","raw_affiliation_strings":["Institute of Artificial Intelligence, Wuhan University, Wuhan, China","National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-3540-5775","affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060042752","display_name":"Bo Du","orcid":"https://orcid.org/0000-0002-0059-8458"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Du","raw_affiliation_strings":["Institute of Artificial Intelligence, Wuhan University, Wuhan, China","National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-0059-8458","affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041664453","display_name":"Weiping Tu","orcid":"https://orcid.org/0000-0002-6933-3298"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiping Tu","raw_affiliation_strings":["Institute of Artificial Intelligence, Wuhan University, Wuhan, China","National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-6933-3298","affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102023771","display_name":"Mingming Gong","orcid":"https://orcid.org/0000-0001-7147-5589"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mingming Gong","raw_affiliation_strings":["School of Mathematics and Statistics, The University of Melbourne, Melbourne, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0001-7147-5589","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, The University of Melbourne, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043824291","display_name":"Yuhong Guo","orcid":"https://orcid.org/0000-0002-7621-342X"},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yuhong Guo","raw_affiliation_strings":["School of Computer Science, Carleton University, Ottawa, Canada"],"raw_orcid":"https://orcid.org/0000-0002-7621-342X","affiliations":[{"raw_affiliation_string":"School of Computer Science, Carleton University, Ottawa, Canada","institution_ids":["https://openalex.org/I67031392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074103823","display_name":"Dacheng Tao","orcid":"https://orcid.org/0000-0001-7225-5449"},"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":"Dacheng Tao","raw_affiliation_strings":["Faculty of Engineering, UBTECH Sydney Artificial Intelligence Centre, The University of Sydney, Sydney, NSW, Australia","School of Computer Science, The University of Sydney, Sydney, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0001-7225-5449","affiliations":[{"raw_affiliation_string":"Faculty of Engineering, UBTECH Sydney Artificial Intelligence Centre, The University of Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]},{"raw_affiliation_string":"School of Computer Science, The University of Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9126,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.7971105,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"31","issue":"11","first_page":"4673","last_page":"4687"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9591000080108643,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9567999839782715,"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/metric","display_name":"Metric (unit)","score":0.6664358973503113},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6548000574111938},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5792219042778015},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5770887732505798},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5742581486701965},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.548984706401825},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5103291869163513},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4697335660457611},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.4607371687889099},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4126022756099701},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38871660828590393},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32318711280822754},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2849351763725281}],"concepts":[{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6664358973503113},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6548000574111938},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5792219042778015},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5770887732505798},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5742581486701965},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.548984706401825},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5103291869163513},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4697335660457611},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.4607371687889099},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4126022756099701},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38871660828590393},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32318711280822754},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2849351763725281},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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":2,"locations":[{"id":"doi:10.1109/tnnls.2019.2957229","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2019.2957229","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:31940557","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31940557","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 neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2586126286","display_name":null,"funder_award_id":"2018YFA060550","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3507083598","display_name":null,"funder_award_id":"61822113","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5711944514","display_name":null,"funder_award_id":"DP-180103424","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G7519899501","display_name":null,"funder_award_id":"FL-170100117","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G7545859506","display_name":null,"funder_award_id":"41871243","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7983224991","display_name":null,"funder_award_id":"IH-180100002","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G7986140881","display_name":null,"funder_award_id":"2018CFA050","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W46086471","https://openalex.org/W903632109","https://openalex.org/W1591238430","https://openalex.org/W1722318740","https://openalex.org/W1985967702","https://openalex.org/W1993962865","https://openalex.org/W2003274225","https://openalex.org/W2031342017","https://openalex.org/W2031454541","https://openalex.org/W2055597244","https://openalex.org/W2070431877","https://openalex.org/W2085269372","https://openalex.org/W2086953401","https://openalex.org/W2092367756","https://openalex.org/W2097939965","https://openalex.org/W2099095260","https://openalex.org/W2099971677","https://openalex.org/W2100664256","https://openalex.org/W2112796928","https://openalex.org/W2115403315","https://openalex.org/W2122838776","https://openalex.org/W2128053425","https://openalex.org/W2149466042","https://openalex.org/W2149652297","https://openalex.org/W2153635508","https://openalex.org/W2154872931","https://openalex.org/W2155251704","https://openalex.org/W2157785665","https://openalex.org/W2162876202","https://openalex.org/W2164278908","https://openalex.org/W2165698076","https://openalex.org/W2166334548","https://openalex.org/W2283717164","https://openalex.org/W2363300041","https://openalex.org/W2463241543","https://openalex.org/W2616287544","https://openalex.org/W2756202949","https://openalex.org/W2909156779","https://openalex.org/W2962774730","https://openalex.org/W2963099737","https://openalex.org/W2963275094","https://openalex.org/W2963815055","https://openalex.org/W2966588426","https://openalex.org/W3120740533","https://openalex.org/W4292363360","https://openalex.org/W6601848957","https://openalex.org/W6637542466","https://openalex.org/W6674525294","https://openalex.org/W6675041395","https://openalex.org/W6681637710","https://openalex.org/W6682644385","https://openalex.org/W6685415078","https://openalex.org/W6694978291","https://openalex.org/W6718795669"],"related_works":["https://openalex.org/W1995622179","https://openalex.org/W1484111231","https://openalex.org/W4391160746","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125","https://openalex.org/W1641615907","https://openalex.org/W3089231081","https://openalex.org/W2093956241"],"abstract_inverted_index":{"Domain":[0],"adaptation":[1,39,179],"has":[2,30],"proven":[3],"to":[4,41,59,123,158,168],"be":[5],"successful":[6],"in":[7,34,79],"dealing":[8],"with":[9,53,190],"the":[10,26,35,65,68,96,101,116,131,151,164,169,183],"case":[11],"where":[12],"training":[13],"and":[14,45,104,126,176],"test":[15],"samples":[16],"are":[17,186],"drawn":[18],"from":[19,130,154],"two":[20,117],"kinds":[21],"of":[22,37],"distributions,":[23],"respectively.":[24],"Recently,":[25],"second-order":[27,97,110],"statistics":[28,98,111],"alignment":[29,99],"gained":[31],"significant":[32],"attention":[33],"field":[36],"domain":[38,156,160,178],"due":[40],"its":[42],"superior":[43],"simplicity":[44],"effectiveness.":[46],"However,":[47],"researchers":[48],"have":[49],"encountered":[50],"major":[51],"difficulties":[52],"optimization,":[54],"as":[55],"it":[56,108],"is":[57,92,142],"difficult":[58],"find":[60],"an":[61,137,143],"explicit":[62,138],"expression":[63],"for":[64,95,109,146],"gradient.":[66],"Moreover,":[67],"used":[69],"transformation":[70],"employed":[71],"here":[72],"does":[73],"not":[74],"perform":[75],"dimensionality":[76,125],"reduction.":[77],"Accordingly,":[78],"this":[80],"article,":[81],"we":[82,106,114,135],"prove":[83],"that":[84,91,182],"there":[85],"exits":[86],"some":[87],"scaled":[88],"LogDet":[89,152,170],"metric":[90],"more":[93],"effective":[94,187],"than":[100],"Frobenius":[102],"norm,":[103],"hence,":[105],"consider":[107],"alignment.":[112],"First,":[113],"introduce":[115],"homologous":[118],"transformations,":[119],"which":[120,141],"can":[121],"help":[122],"reduce":[124],"excavate":[127],"transferable":[128],"knowledge":[129],"relevant":[132],"domain.":[133],"Second,":[134],"provide":[136],"gradient":[139],"expression,":[140],"important":[144],"ingredient":[145],"optimization.":[147],"We":[148],"further":[149],"extend":[150],"model":[153],"single-source":[155],"setting":[157,161],"multisource":[159],"by":[162],"applying":[163],"weighted":[165],"Karcher":[166],"mean":[167],"metric.":[171],"Experiments":[172],"on":[173],"both":[174],"synthetic":[175],"realistic":[177],"tasks":[180],"demonstrate":[181],"proposed":[184],"approaches":[185],"when":[188],"compared":[189],"state-of-the-art":[191],"ones.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
