{"id":"https://openalex.org/W224346073","doi":"https://doi.org/10.1007/978-3-319-16199-0_3","title":"Domain Adaptation with a Domain Specific Class Means Classifier","display_name":"Domain Adaptation with a Domain Specific Class Means Classifier","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W224346073","doi":"https://doi.org/10.1007/978-3-319-16199-0_3","mag":"224346073"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-16199-0_3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-16199-0_3","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5109475590","display_name":"Gabriela Csurka","orcid":null},"institutions":[{"id":"https://openalex.org/I33976269","display_name":"Xerox (France)","ror":"https://ror.org/033q0mv79","country_code":"FR","type":"company","lineage":["https://openalex.org/I33976269","https://openalex.org/I4210132870"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Gabriela Csurka","raw_affiliation_strings":["Xerox Research Centre Europe, 6 chemin Maupertuis, 38240, Meylan, France"],"affiliations":[{"raw_affiliation_string":"Xerox Research Centre Europe, 6 chemin Maupertuis, 38240, Meylan, France","institution_ids":["https://openalex.org/I33976269"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046897413","display_name":"Boris Chidlovskii","orcid":"https://orcid.org/0000-0002-2958-2361"},"institutions":[{"id":"https://openalex.org/I33976269","display_name":"Xerox (France)","ror":"https://ror.org/033q0mv79","country_code":"FR","type":"company","lineage":["https://openalex.org/I33976269","https://openalex.org/I4210132870"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Boris Chidlovskii","raw_affiliation_strings":["Xerox Research Centre Europe, 6 chemin Maupertuis, 38240, Meylan, France"],"affiliations":[{"raw_affiliation_string":"Xerox Research Centre Europe, 6 chemin Maupertuis, 38240, Meylan, France","institution_ids":["https://openalex.org/I33976269"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059987704","display_name":"Florent Perronnin","orcid":null},"institutions":[{"id":"https://openalex.org/I33976269","display_name":"Xerox (France)","ror":"https://ror.org/033q0mv79","country_code":"FR","type":"company","lineage":["https://openalex.org/I33976269","https://openalex.org/I4210132870"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Florent Perronnin","raw_affiliation_strings":["Xerox Research Centre Europe, 6 chemin Maupertuis, 38240, Meylan, France"],"affiliations":[{"raw_affiliation_string":"Xerox Research Centre Europe, 6 chemin Maupertuis, 38240, Meylan, France","institution_ids":["https://openalex.org/I33976269"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5109475590"],"corresponding_institution_ids":["https://openalex.org/I33976269"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":1.707,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.83592401,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"32","last_page":"46"},"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":0.9997000098228455,"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":0.9997000098228455,"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":0.9559000134468079,"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":0.9477999806404114,"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/domain-adaptation","display_name":"Domain adaptation","score":0.8526163101196289},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8232762813568115},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.8048438429832458},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6473333239555359},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5643160939216614},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5011837482452393},{"id":"https://openalex.org/keywords/dispose-pattern","display_name":"Dispose pattern","score":0.49003803730010986},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4634172320365906},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.4428125023841858},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4404229521751404},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4327831268310547},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.41632312536239624},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12273472547531128}],"concepts":[{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.8526163101196289},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8232762813568115},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.8048438429832458},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6473333239555359},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5643160939216614},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5011837482452393},{"id":"https://openalex.org/C111424310","wikidata":"https://www.wikidata.org/wiki/Q5282669","display_name":"Dispose pattern","level":2,"score":0.49003803730010986},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4634172320365906},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.4428125023841858},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4404229521751404},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4327831268310547},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.41632312536239624},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12273472547531128},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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":1,"locations":[{"id":"doi:10.1007/978-3-319-16199-0_3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-16199-0_3","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W149023494","https://openalex.org/W1606858007","https://openalex.org/W1625255723","https://openalex.org/W1722318740","https://openalex.org/W1822439997","https://openalex.org/W1842037955","https://openalex.org/W1854866626","https://openalex.org/W1959567017","https://openalex.org/W2015563892","https://openalex.org/W2064447488","https://openalex.org/W2081801689","https://openalex.org/W2090923791","https://openalex.org/W2104068492","https://openalex.org/W2106053110","https://openalex.org/W2106409489","https://openalex.org/W2106471914","https://openalex.org/W2112483442","https://openalex.org/W2117132237","https://openalex.org/W2128053425","https://openalex.org/W2149466042","https://openalex.org/W2157989183","https://openalex.org/W2160039895","https://openalex.org/W2165698076","https://openalex.org/W2169495281","https://openalex.org/W2811380766"],"related_works":["https://openalex.org/W1529840045","https://openalex.org/W3035557009","https://openalex.org/W4244036394","https://openalex.org/W1842879116","https://openalex.org/W2955172689","https://openalex.org/W2341113105","https://openalex.org/W2135107501","https://openalex.org/W2124490386","https://openalex.org/W3204418343","https://openalex.org/W1822895636"],"abstract_inverted_index":null,"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
