{"id":"https://openalex.org/W3090414386","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207365","title":"Discriminative Joint Probability Maximum Mean Discrepancy (DJP-MMD) for Domain Adaptation","display_name":"Discriminative Joint Probability Maximum Mean Discrepancy (DJP-MMD) for Domain Adaptation","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3090414386","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207365","mag":"3090414386"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9207365","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207365","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5051417355","display_name":"Wen Zhang","orcid":"https://orcid.org/0000-0002-5498-7918"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Zhang","raw_affiliation_strings":["School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008740867","display_name":"Dongrui Wu","orcid":"https://orcid.org/0000-0002-7153-9703"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongrui Wu","raw_affiliation_strings":["School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":6.6699,"has_fulltext":false,"cited_by_count":105,"citation_normalized_percentile":{"value":0.97576279,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.9995999932289124,"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":0.9995999932289124,"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/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.98580002784729,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11243","display_name":"Respiratory viral infections research","score":0.9682999849319458,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.8346452713012695},{"id":"https://openalex.org/keywords/joint-probability-distribution","display_name":"Joint probability distribution","score":0.7815666198730469},{"id":"https://openalex.org/keywords/conditional-probability-distribution","display_name":"Conditional probability distribution","score":0.6535191535949707},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6528245806694031},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5919575095176697},{"id":"https://openalex.org/keywords/marginal-distribution","display_name":"Marginal distribution","score":0.5876685976982117},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.5787650942802429},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5672669410705566},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5235530734062195},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4941768944263458},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.48911720514297485},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.4535171091556549},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.43488502502441406},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4310513138771057},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38116738200187683},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35573405027389526},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29989391565322876},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2492924928665161},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.21011266112327576},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0725078284740448}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8346452713012695},{"id":"https://openalex.org/C18653775","wikidata":"https://www.wikidata.org/wiki/Q1333358","display_name":"Joint probability distribution","level":2,"score":0.7815666198730469},{"id":"https://openalex.org/C43555835","wikidata":"https://www.wikidata.org/wiki/Q2300258","display_name":"Conditional probability distribution","level":2,"score":0.6535191535949707},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6528245806694031},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5919575095176697},{"id":"https://openalex.org/C165216359","wikidata":"https://www.wikidata.org/wiki/Q670653","display_name":"Marginal distribution","level":3,"score":0.5876685976982117},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.5787650942802429},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5672669410705566},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5235530734062195},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4941768944263458},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.48911720514297485},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.4535171091556549},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.43488502502441406},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4310513138771057},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38116738200187683},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35573405027389526},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29989391565322876},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2492924928665161},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.21011266112327576},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0725078284740448},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9207365","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207365","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1576445103","https://openalex.org/W1663973292","https://openalex.org/W1731081199","https://openalex.org/W2062152791","https://openalex.org/W2096943734","https://openalex.org/W2115403315","https://openalex.org/W2128053425","https://openalex.org/W2131953535","https://openalex.org/W2149466042","https://openalex.org/W2165698076","https://openalex.org/W2187089797","https://openalex.org/W2212660284","https://openalex.org/W2253728219","https://openalex.org/W2314733761","https://openalex.org/W2520436654","https://openalex.org/W2527330869","https://openalex.org/W2594639291","https://openalex.org/W2616287544","https://openalex.org/W2788305286","https://openalex.org/W2789767547","https://openalex.org/W2884771968","https://openalex.org/W2897536120","https://openalex.org/W2946812986","https://openalex.org/W2963168418","https://openalex.org/W2963693396","https://openalex.org/W2963727766","https://openalex.org/W2964278684","https://openalex.org/W2964285681","https://openalex.org/W3098943317","https://openalex.org/W6634343353","https://openalex.org/W6637618735","https://openalex.org/W6681637710","https://openalex.org/W6688325169","https://openalex.org/W6713955831","https://openalex.org/W6748650879","https://openalex.org/W6763066025"],"related_works":["https://openalex.org/W2122857041","https://openalex.org/W2497288182","https://openalex.org/W4243126796","https://openalex.org/W12046094","https://openalex.org/W4249162344","https://openalex.org/W2952129880","https://openalex.org/W2032285496","https://openalex.org/W1539131693","https://openalex.org/W4294642871","https://openalex.org/W162901985"],"abstract_inverted_index":{"Maximum":[0],"mean":[1],"discrepancy":[2,14,44],"(MMD)":[3],"has":[4,111],"been":[5],"widely":[6],"adopted":[7],"in":[8,83,98,107],"domain":[9,20,24,108,152],"adaptation":[10,25,153],"to":[11,67,101],"measure":[12],"the":[13,16,30,37,41,46,69,75,103,124,136,163],"between":[15,71,77],"source":[17],"and":[18,45,130,138],"target":[19],"distributions.":[21],"Many":[22],"existing":[23],"approaches":[26],"are":[27],"based":[28],"on":[29,156],"joint":[31,58,92,105,150],"MMD,":[32],"which":[33,80,127],"is":[34,96,128],"computed":[35],"as":[36],"(weighted)":[38],"sum":[39],"of":[40],"marginal":[42],"distribution":[43,48,60,125],"conditional":[47],"discrepancy;":[49],"however,":[50],"a":[51,118,149],"more":[52,131],"natural":[53],"metric":[54],"may":[55,81],"be":[56],"their":[57],"probability":[59,93,151],"discrepancy.":[61],"Additionally,":[62],"most":[63],"metrics":[64],"only":[65],"aim":[66],"increase":[68],"transferability":[70,137],"domains,":[72],"but":[73],"ignores":[74],"discriminability":[76,139],"different":[78],"classes,":[79],"result":[82],"insufficient":[84],"classification":[85,159],"performance.":[86],"To":[87],"address":[88],"these":[89],"issues,":[90],"discriminative":[91],"MMD":[94,106],"(DJP-MMD)":[95],"proposed":[97,164],"this":[99],"paper":[100],"replace":[102],"frequently-used":[104],"adaptation.":[109],"It":[110],"two":[112],"desirable":[113],"properties:":[114],"1)":[115],"it":[116,134,147],"provides":[117],"new":[119],"theoretical":[120],"basis":[121],"for":[122],"computing":[123],"discrepancy,":[126],"simpler":[129],"accurate;":[132],"2)":[133],"increases":[135],"simultaneously.":[140],"We":[141],"validate":[142],"its":[143],"performance":[144],"by":[145],"embedding":[146],"into":[148],"framework.":[154],"Experiments":[155],"six":[157],"image":[158],"datasets":[160],"demonstrated":[161],"that":[162],"DJP-MMD":[165],"can":[166],"outperform":[167],"traditional":[168],"MMDs.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":27},{"year":2023,"cited_by_count":21},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}