{"id":"https://openalex.org/W2790038069","doi":"https://doi.org/10.1109/tsmc.2018.2791603","title":"Multisource Domain Attribute Adaptation Based on Adaptive Multikernel Alignment Learning","display_name":"Multisource Domain Attribute Adaptation Based on Adaptive Multikernel Alignment Learning","publication_year":2018,"publication_date":"2018-01-25","ids":{"openalex":"https://openalex.org/W2790038069","doi":"https://doi.org/10.1109/tsmc.2018.2791603","mag":"2790038069"},"language":"en","primary_location":{"id":"doi:10.1109/tsmc.2018.2791603","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2018.2791603","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"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 Systems, Man, and Cybernetics: Systems","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/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":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5327-1088","affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052779783","display_name":"Wanwan Huang","orcid":"https://orcid.org/0000-0003-4578-5078"},"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":"Wanwan Huang","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"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":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2022-9999","affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, 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":["School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073248247","display_name":"Zhongliang Wei","orcid":"https://orcid.org/0000-0002-3451-1402"},"institutions":[{"id":"https://openalex.org/I184681353","display_name":"Anhui University of Science and Technology","ror":"https://ror.org/00q9atg80","country_code":"CN","type":"education","lineage":["https://openalex.org/I184681353"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongliang Wei","raw_affiliation_strings":["College of Computer Science and Engineering, Anhui University of Science and Technology, Huainan, China"],"raw_orcid":"https://orcid.org/0000-0002-3451-1402","affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Anhui University of Science and Technology, Huainan, China","institution_ids":["https://openalex.org/I184681353"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1294,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.90006139,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"50","issue":"5","first_page":"1897","last_page":"1908"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9678000211715698,"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"}},{"id":"https://openalex.org/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.9641000032424927,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6667845845222473},{"id":"https://openalex.org/keywords/multiple-kernel-learning","display_name":"Multiple kernel learning","score":0.6499711871147156},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6215565800666809},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5803940892219543},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5602103471755981},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.559637188911438},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.49522820115089417},{"id":"https://openalex.org/keywords/cosine-similarity","display_name":"Cosine similarity","score":0.4928476810455322},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4426388442516327},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4398704767227173},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4330568313598633},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.39425426721572876},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31046974658966064},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.2512133717536926}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6667845845222473},{"id":"https://openalex.org/C2776879701","wikidata":"https://www.wikidata.org/wiki/Q25048660","display_name":"Multiple kernel learning","level":4,"score":0.6499711871147156},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6215565800666809},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5803940892219543},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5602103471755981},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.559637188911438},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.49522820115089417},{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.4928476810455322},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4426388442516327},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4398704767227173},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4330568313598633},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.39425426721572876},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31046974658966064},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2512133717536926},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsmc.2018.2791603","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2018.2791603","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"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 Systems, Man, and Cybernetics: Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6386838018","display_name":"\u57fa\u4e8e\u77e5\u8bc6\u8fc1\u79fb\u7684\u6709\u9650\u6837\u672c\u6a21\u5f0f\u5206\u7c7b\u7814\u7a76","funder_award_id":"61472424","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7031480287","display_name":"\u57fa\u4e8e\u5c5e\u6027\u5b66\u4e60\u7684\u96f6\u6837\u672c\u56fe\u50cf\u5206\u7c7b\u7814\u7a76","funder_award_id":"61772532","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1485347908","https://openalex.org/W1528802670","https://openalex.org/W1566135517","https://openalex.org/W1920328734","https://openalex.org/W1970087198","https://openalex.org/W1978920452","https://openalex.org/W1989666518","https://openalex.org/W2064851185","https://openalex.org/W2081547124","https://openalex.org/W2098411764","https://openalex.org/W2099501835","https://openalex.org/W2128532956","https://openalex.org/W2134270519","https://openalex.org/W2140931828","https://openalex.org/W2155541015","https://openalex.org/W2155893237","https://openalex.org/W2209594346","https://openalex.org/W2260260521","https://openalex.org/W2293059961","https://openalex.org/W2316226477","https://openalex.org/W2319380321","https://openalex.org/W2343756965","https://openalex.org/W2398118205","https://openalex.org/W2399722647","https://openalex.org/W2404247879","https://openalex.org/W2507611421","https://openalex.org/W2520133939","https://openalex.org/W2535579023","https://openalex.org/W2549665044","https://openalex.org/W2572676752","https://openalex.org/W2599236591","https://openalex.org/W2599626790","https://openalex.org/W2600594840","https://openalex.org/W2605100742","https://openalex.org/W2608481119","https://openalex.org/W2732711747","https://openalex.org/W2737142109","https://openalex.org/W2748075849","https://openalex.org/W2752674409","https://openalex.org/W2767512561","https://openalex.org/W2963090585","https://openalex.org/W3143107425","https://openalex.org/W4232262564","https://openalex.org/W4294375521","https://openalex.org/W6640308425","https://openalex.org/W6682778277","https://openalex.org/W6735956466","https://openalex.org/W6735961225","https://openalex.org/W6737209902"],"related_works":["https://openalex.org/W2725311638","https://openalex.org/W2123146423","https://openalex.org/W2091950550","https://openalex.org/W2570832236","https://openalex.org/W2144299089","https://openalex.org/W2133046540","https://openalex.org/W4307723017","https://openalex.org/W3092342941","https://openalex.org/W4388570703","https://openalex.org/W2055608878"],"abstract_inverted_index":{"For":[0],"attribute-based":[1],"zero-shot":[2],"learning":[3,38,69],"(ZSL),":[4],"the":[5,11,19,25,45,72,91,96,101,106,132,142,147,152,161,165,171,176],"attribute":[6,62,143,172],"classifiers":[7],"learned":[8,145],"previously":[9],"on":[10,65,146,185],"training":[12,26,97,156],"images":[13,21,29,98],"may":[14,30,81],"not":[15],"be":[16,82],"usable":[17],"for":[18],"testing":[20,28],"due":[22],"to":[23,58,94,100,129,140,151,169],"that":[24],"and":[27,175,188],"follow":[31],"different":[32,48],"data":[33,49],"distributions.":[34],"Since":[35],"domain":[36,61,128,154],"adaptation":[37,63],"can":[39],"effectively":[40],"perform":[41],"knowledge":[42],"transfer":[43],"under":[44],"circumstance":[46],"of":[47,74,76,179],"distributions,":[50],"we":[51,89,159],"proposed":[52,198],"a":[53,83],"novel":[54],"ZSL":[55],"method,":[56],"referred":[57],"as":[59],"multisource":[60],"based":[64],"adaptive":[66,180],"multikernel":[67],"alignment":[68,168],"(A-MKAL),":[70],"from":[71],"point":[73],"view":[75],"classifier":[77,144],"adaptation.":[78],"Considering":[79],"there":[80],"large":[84],"difference":[85],"between":[86],"object":[87],"classes,":[88],"adopt":[90],"clustering":[92],"method":[93,199],"group":[95],"according":[99],"class\u2013class":[102],"correlation":[103],"measured":[104],"by":[105,163],"whitened":[107],"cosine":[108],"similarity,":[109],"thus":[110],"multiple":[111,118,181],"source":[112,119,127,149],"domains":[113,120,150],"are":[114,121],"created.":[115],"The":[116],"created":[117],"then":[122],"combined":[123],"into":[124],"one":[125],"weighted":[126],"participate":[130],"in":[131],"distribution":[133],"discrepancy":[134],"match":[135],"across":[136],"domains.":[137],"In":[138],"order":[139],"adapt":[141],"well-defined":[148],"target":[153],"(the":[155],"image":[157],"set),":[158],"designed":[160],"A-MKAL":[162],"applying":[164],"centered":[166],"kernel":[167,173,177,182],"align":[170],"matrix":[174],"function":[178],"learning.":[183],"Experiments":[184],"Shoes,":[186],"OSR,":[187],"AWA":[189],"datasets":[190],"show":[191],"that,":[192],"compared":[193],"with":[194],"state-of-the-art":[195],"methods,":[196],"our":[197],"yields":[200],"more":[201],"accurate":[202],"classification.":[203]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}