{"id":"https://openalex.org/W3045675141","doi":"https://doi.org/10.1109/access.2020.3012152","title":"Cross Domain Mean Approximation for Unsupervised Domain Adaptation","display_name":"Cross Domain Mean Approximation for Unsupervised Domain Adaptation","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3045675141","doi":"https://doi.org/10.1109/access.2020.3012152","mag":"3045675141"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3012152","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3012152","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09149905.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09149905.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007301470","display_name":"Shaofei Zang","orcid":null},"institutions":[{"id":"https://openalex.org/I167383011","display_name":"Henan University of Science and Technology","ror":"https://ror.org/05d80kz58","country_code":"CN","type":"education","lineage":["https://openalex.org/I167383011"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaofei Zang","raw_affiliation_strings":["Department of Information Engineering College, Henan University of Science and Technology, Luoyang, China"],"raw_orcid":"https://orcid.org/0000-0003-0278-4729","affiliations":[{"raw_affiliation_string":"Department of Information Engineering College, Henan University of Science and Technology, Luoyang, China","institution_ids":["https://openalex.org/I167383011"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091364297","display_name":"Yuhu Cheng","orcid":"https://orcid.org/0000-0003-2022-9999"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhu Cheng","raw_affiliation_strings":["Department of Information and Control Engineering College, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2022-9999","affiliations":[{"raw_affiliation_string":"Department of Information and Control Engineering College, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108064895","display_name":"Xuesong Wang","orcid":"https://orcid.org/0000-0002-5327-1088"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuesong Wang","raw_affiliation_strings":["Department of Information and Control Engineering College, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5327-1088","affiliations":[{"raw_affiliation_string":"Department of Information and Control Engineering College, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003557943","display_name":"Qiang Yu","orcid":"https://orcid.org/0000-0002-8454-0500"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Yu","raw_affiliation_strings":["Department of Electrical and Power Engineering College, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8454-0500","affiliations":[{"raw_affiliation_string":"Department of Electrical and Power Engineering College, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084688255","display_name":"Guo-Sen Xie","orcid":"https://orcid.org/0000-0002-5487-9845"},"institutions":[{"id":"https://openalex.org/I4210116052","display_name":"Inception Institute of Artificial Intelligence","ror":"https://ror.org/02664zk40","country_code":"AE","type":"facility","lineage":["https://openalex.org/I4210116052"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Guo-Sen Xie","raw_affiliation_strings":["Inception Institute of Artificial Intelligence, Abu Dhabi, United Arab Emirates"],"raw_orcid":"https://orcid.org/0000-0002-5487-9845","affiliations":[{"raw_affiliation_string":"Inception Institute of Artificial Intelligence, Abu Dhabi, United Arab Emirates","institution_ids":["https://openalex.org/I4210116052"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.086,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.89789993,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"8","issue":null,"first_page":"139052","last_page":"139069"},"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/T12676","display_name":"Machine Learning and ELM","score":0.9257000088691711,"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":0.9023000001907349,"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/computer-science","display_name":"Computer science","score":0.7234117388725281},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6290318369865417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5957155823707581},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5358840823173523},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5331553220748901},{"id":"https://openalex.org/keywords/conditional-probability-distribution","display_name":"Conditional probability distribution","score":0.5133542418479919},{"id":"https://openalex.org/keywords/marginal-distribution","display_name":"Marginal distribution","score":0.4958432614803314},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.47475674748420715},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42313048243522644},{"id":"https://openalex.org/keywords/joint-probability-distribution","display_name":"Joint probability distribution","score":0.42171692848205566},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34170475602149963},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20269367098808289},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11470332741737366}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7234117388725281},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6290318369865417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5957155823707581},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5358840823173523},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5331553220748901},{"id":"https://openalex.org/C43555835","wikidata":"https://www.wikidata.org/wiki/Q2300258","display_name":"Conditional probability distribution","level":2,"score":0.5133542418479919},{"id":"https://openalex.org/C165216359","wikidata":"https://www.wikidata.org/wiki/Q670653","display_name":"Marginal distribution","level":3,"score":0.4958432614803314},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.47475674748420715},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42313048243522644},{"id":"https://openalex.org/C18653775","wikidata":"https://www.wikidata.org/wiki/Q1333358","display_name":"Joint probability distribution","level":2,"score":0.42171692848205566},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34170475602149963},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20269367098808289},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11470332741737366},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3012152","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3012152","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09149905.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:dea57a1c330744e49cf464000960ed89","is_oa":true,"landing_page_url":"https://doaj.org/article/dea57a1c330744e49cf464000960ed89","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 139052-139069 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3012152","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3012152","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09149905.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.550000011920929,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G2636980386","display_name":null,"funder_award_id":"2016YFE0104600","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3613978086","display_name":null,"funder_award_id":"61702163","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8743927310","display_name":null,"funder_award_id":"2016YFE0104600","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3045675141.pdf","grobid_xml":"https://content.openalex.org/works/W3045675141.grobid-xml"},"referenced_works_count":95,"referenced_works":["https://openalex.org/W46086471","https://openalex.org/W170467976","https://openalex.org/W1500583457","https://openalex.org/W1553408595","https://openalex.org/W1722318740","https://openalex.org/W1857785566","https://openalex.org/W1882958252","https://openalex.org/W1901355268","https://openalex.org/W2001619934","https://openalex.org/W2029296788","https://openalex.org/W2040895929","https://openalex.org/W2057266281","https://openalex.org/W2067067957","https://openalex.org/W2080322700","https://openalex.org/W2084331551","https://openalex.org/W2087977130","https://openalex.org/W2096943734","https://openalex.org/W2104068492","https://openalex.org/W2112483442","https://openalex.org/W2115403315","https://openalex.org/W2118045473","https://openalex.org/W2122838776","https://openalex.org/W2131725398","https://openalex.org/W2144086405","https://openalex.org/W2149466042","https://openalex.org/W2150846797","https://openalex.org/W2153635508","https://openalex.org/W2159291411","https://openalex.org/W2162854380","https://openalex.org/W2164943005","https://openalex.org/W2165698076","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2258484932","https://openalex.org/W2261310161","https://openalex.org/W2278887240","https://openalex.org/W2279034837","https://openalex.org/W2329664094","https://openalex.org/W2408716783","https://openalex.org/W2556332460","https://openalex.org/W2559874658","https://openalex.org/W2616287544","https://openalex.org/W2622430615","https://openalex.org/W2627183927","https://openalex.org/W2729411063","https://openalex.org/W2739427852","https://openalex.org/W2742231817","https://openalex.org/W2767781968","https://openalex.org/W2770645414","https://openalex.org/W2774254162","https://openalex.org/W2795155917","https://openalex.org/W2798681837","https://openalex.org/W2801477643","https://openalex.org/W2808007932","https://openalex.org/W2811444512","https://openalex.org/W2885112256","https://openalex.org/W2892946488","https://openalex.org/W2894551204","https://openalex.org/W2899414004","https://openalex.org/W2945034577","https://openalex.org/W2955547856","https://openalex.org/W2963275094","https://openalex.org/W2963693396","https://openalex.org/W2963777311","https://openalex.org/W2963826681","https://openalex.org/W2964152246","https://openalex.org/W2964278684","https://openalex.org/W2964285681","https://openalex.org/W2964934387","https://openalex.org/W2965843558","https://openalex.org/W2974291863","https://openalex.org/W2979509742","https://openalex.org/W2996841154","https://openalex.org/W3090414386","https://openalex.org/W3104135789","https://openalex.org/W3117140277","https://openalex.org/W3124219615","https://openalex.org/W6601848957","https://openalex.org/W6606982605","https://openalex.org/W6637542466","https://openalex.org/W6639480849","https://openalex.org/W6676840641","https://openalex.org/W6677741084","https://openalex.org/W6681637710","https://openalex.org/W6683633756","https://openalex.org/W6685415078","https://openalex.org/W6692729736","https://openalex.org/W6693308847","https://openalex.org/W6695692224","https://openalex.org/W6713955831","https://openalex.org/W6714032056","https://openalex.org/W6730232667","https://openalex.org/W6746789195","https://openalex.org/W6750109254","https://openalex.org/W6772372455"],"related_works":["https://openalex.org/W2497288182","https://openalex.org/W162901985","https://openalex.org/W4243126796","https://openalex.org/W12046094","https://openalex.org/W4249162344","https://openalex.org/W2952129880","https://openalex.org/W4294642871","https://openalex.org/W4234449911","https://openalex.org/W4237297272","https://openalex.org/W259963716"],"abstract_inverted_index":{"Unsupervised":[0],"Domain":[1,52,97],"Adaptation":[2,93],"(UDA)":[3],"aims":[4],"to":[5,14,32,49,57,83,108,149],"leverage":[6],"the":[7,10,16,22,34,59,69,72,75,78,84,87,104,115,124,140,168,172],"knowledge":[8],"from":[9,77,154],"labeled":[11],"source":[12,63,79],"domain":[13,20,175],"help":[15],"task":[17],"of":[18,71,74,86,106],"target":[19,65,81],"with":[21],"unlabeled":[23],"data.":[24],"It":[25],"is":[26,101],"a":[27,44,131],"key":[28],"step":[29],"for":[30],"UDA":[31],"minimize":[33],"cross-domain":[35],"distribution":[36,60,119],"divergence.":[37],"In":[38],"this":[39],"paper,":[40],"we":[41,129],"firstly":[42],"propose":[43],"novel":[45],"discrepancy":[46,120],"metric,":[47],"referred":[48],"as":[50],"Cross":[51,96],"Mean":[53,98],"Approximation":[54,99],"(CDMA)":[55],"discrepancy,":[56],"evaluate":[58],"differences":[61],"between":[62,121],"and":[64,80,112,117,136,145,164],"domains,":[66],"which":[67],"calculate":[68],"sum":[70],"squares":[73],"distances":[76],"domains":[82,122],"mean":[85],"other":[88],"domain.":[89],"Secondly,":[90],"Joint":[91],"Distribution":[92],"based":[94],"on":[95,103,157],"(JDA-CDMA)":[100],"developed":[102],"basis":[105],"CDMA":[107,134],"extract":[109],"shared":[110],"feature":[111,142],"simultaneously":[113],"reduce":[114],"marginal":[116],"conditional":[118],"during":[123],"label":[125],"refinement":[126],"process.":[127],"Thirdly,":[128],"construct":[130],"classifier":[132,146],"utilizing":[133],"metric":[135],"neighbor":[137],"information.":[138],"Finally,":[139],"proposed":[141,169],"extraction":[143],"approach":[144],"are":[147],"combined":[148],"realize":[150],"transfer":[151],"learning.":[152],"Results":[153],"extensive":[155],"experiments":[156],"five":[158],"visual":[159],"benchmarks":[160],"including":[161],"object,":[162],"face,":[163],"digit":[165],"images,":[166],"show":[167],"methods":[170],"outperform":[171],"state-of-the-art":[173],"unsupervised":[174],"adaptation.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
