{"id":"https://openalex.org/W3210590238","doi":"https://doi.org/10.1109/access.2021.3123281","title":"Metric Information Matrix for Maximum Mean Discrepancy for Domain Adaptation","display_name":"Metric Information Matrix for Maximum Mean Discrepancy for Domain Adaptation","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3210590238","doi":"https://doi.org/10.1109/access.2021.3123281","mag":"3210590238"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3123281","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3123281","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09585694.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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/ielx7/6287639/6514899/09585694.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039672587","display_name":"Wenjuan Ren","orcid":"https://orcid.org/0009-0009-2950-1224"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenjuan Ren","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082142881","display_name":"Shie Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shie Zhou","raw_affiliation_strings":["Strategic Support Force Information and Engineering University, Zhengzhou 450000, China"],"affiliations":[{"raw_affiliation_string":"Strategic Support Force Information and Engineering University, Zhengzhou 450000, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091305859","display_name":"Zhanpeng Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhanpeng Yang","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101921382","display_name":"Quan Shi","orcid":"https://orcid.org/0000-0003-2082-3293"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quan Shi","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005905514","display_name":"Xian Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian Sun","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017857828","display_name":"Luyi Yang","orcid":"https://orcid.org/0000-0003-2533-7470"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luyi Yang","raw_affiliation_strings":["Strategic Support Force Information and Engineering University, Zhengzhou 450000, China"],"affiliations":[{"raw_affiliation_string":"Strategic Support Force Information and Engineering University, Zhengzhou 450000, China","institution_ids":["https://openalex.org/I169689159"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5039672587"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.2799,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.65060097,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"9","issue":null,"first_page":"148017","last_page":"148023"},"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":1.0,"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":1.0,"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":0.9848999977111816,"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/T12676","display_name":"Machine Learning and ELM","score":0.9735999703407288,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7587178945541382},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.7477343082427979},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6791020035743713},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6344019770622253},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6126492023468018},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5665410757064819},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5655965805053711},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5104681253433228},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.504752516746521},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.47260457277297974},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.43316876888275146},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.42346012592315674},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3957657217979431},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3546229600906372},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.0843566358089447}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7587178945541382},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7477343082427979},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6791020035743713},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6344019770622253},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6126492023468018},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5665410757064819},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5655965805053711},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5104681253433228},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.504752516746521},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.47260457277297974},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.43316876888275146},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.42346012592315674},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3957657217979431},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3546229600906372},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0843566358089447},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3123281","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3123281","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09585694.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:16d7b5987e864a538b69a0f7c9ea5d1e","is_oa":true,"landing_page_url":"https://doaj.org/article/16d7b5987e864a538b69a0f7c9ea5d1e","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"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 9, Pp 148017-148023 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3123281","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3123281","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09585694.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3210590238.pdf","grobid_xml":"https://content.openalex.org/works/W3210590238.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W174360075","https://openalex.org/W1875842236","https://openalex.org/W2096943734","https://openalex.org/W2115403315","https://openalex.org/W2212660284","https://openalex.org/W2417433140","https://openalex.org/W2559091987","https://openalex.org/W2593768305","https://openalex.org/W2800222246","https://openalex.org/W2803437649","https://openalex.org/W2884771968","https://openalex.org/W2892946488","https://openalex.org/W2963626582","https://openalex.org/W2963693396","https://openalex.org/W2965604235","https://openalex.org/W3004724178","https://openalex.org/W3018638193","https://openalex.org/W3042758601","https://openalex.org/W3090414386","https://openalex.org/W6607140492","https://openalex.org/W6688325169","https://openalex.org/W6751818914"],"related_works":["https://openalex.org/W1980381208","https://openalex.org/W2364594919","https://openalex.org/W2081900870","https://openalex.org/W2219338811","https://openalex.org/W2167092671","https://openalex.org/W1861706286","https://openalex.org/W2143002539","https://openalex.org/W2949100517","https://openalex.org/W4289294429","https://openalex.org/W2158511632"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,31],"focus":[4],"the":[5,39,46,74,78,83],"problem":[6],"of":[7,35,61],"unsupervised":[8],"domain":[9,18,23,88],"adaptation":[10,42],"which":[11],"transfers":[12],"knowledge":[13],"from":[14],"a":[15,51,59],"well-labeled":[16],"source":[17,87],"to":[19,44,50,76],"an":[20],"unlabeled":[21],"target":[22,90],"with":[24],"distinctive":[25],"distributions.":[26],"Based":[27],"on":[28],"Gromov-Hausdorff\u2019s":[29],"theory,":[30],"proposed":[32],"two":[33],"kinds":[34],"feature":[36,48,62,65,79],"mappings":[37,72],"in":[38],"joint":[40],"distribution":[41,84],"method":[43],"embed":[45],"original":[47],"subspace":[49],"common":[52],"subspace.":[53],"It":[54],"can":[55],"be":[56],"seen":[57],"as":[58],"part":[60],"embedding":[63],"for":[64],"alignment.":[66],"Our":[67],"experiments":[68],"show":[69],"that":[70],"constructed":[71],"have":[73],"abilities":[75],"alleviate":[77],"discrepancy":[80],"and":[81,89],"mitigate":[82],"shift":[85],"between":[86],"domains.":[91]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}