{"id":"https://openalex.org/W2295102813","doi":"https://doi.org/10.1109/icip.2015.7351447","title":"Cross-domain recognition by identifying compact joint subspaces","display_name":"Cross-domain recognition by identifying compact joint subspaces","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2295102813","doi":"https://doi.org/10.1109/icip.2015.7351447","mag":"2295102813"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2015.7351447","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351447","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","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/A5027105734","display_name":"Yuewei Lin","orcid":"https://orcid.org/0000-0002-1429-4543"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuewei Lin","raw_affiliation_strings":["University of South Carolina"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of South Carolina","institution_ids":["https://openalex.org/I155781252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100394829","display_name":"Jing Chen","orcid":"https://orcid.org/0000-0001-8305-9291"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Jing Chen","raw_affiliation_strings":["University of Macau"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Macau","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103124835","display_name":"Yu Cao","orcid":"https://orcid.org/0000-0002-2630-2475"},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Cao","raw_affiliation_strings":["IBM Research-Almaden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research-Almaden","institution_ids":["https://openalex.org/I4210085935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102993434","display_name":"Youjie Zhou","orcid":"https://orcid.org/0000-0001-7188-6329"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Youjie Zhou","raw_affiliation_strings":["University of South Carolina"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of South Carolina","institution_ids":["https://openalex.org/I155781252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101749694","display_name":"Lingfeng Zhang","orcid":"https://orcid.org/0000-0002-6427-9587"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lingfeng Zhang","raw_affiliation_strings":["University of Houston"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Houston","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082259804","display_name":"Song Wang","orcid":"https://orcid.org/0000-0003-4152-5295"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Song Wang","raw_affiliation_strings":["University of South Carolina"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of South Carolina","institution_ids":["https://openalex.org/I155781252"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"99","issue":null,"first_page":"3461","last_page":"3465"},"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":0.9994000196456909,"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":0.9994000196456909,"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":0.9599000215530396,"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/T11668","display_name":"interferon and immune responses","score":0.9444000124931335,"subfield":{"id":"https://openalex.org/subfields/2403","display_name":"Immunology"},"field":{"id":"https://openalex.org/fields/24","display_name":"Immunology and Microbiology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.8223328590393066},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.7806910276412964},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7756693363189697},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.7286728620529175},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5734439492225647},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5727136731147766},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5654763579368591},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3613300025463104},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36062145233154297},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16426807641983032},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.04632285237312317}],"concepts":[{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.8223328590393066},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.7806910276412964},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7756693363189697},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.7286728620529175},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5734439492225647},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5727136731147766},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5654763579368591},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3613300025463104},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36062145233154297},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16426807641983032},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.04632285237312317},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2015.7351447","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351447","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1682040381","https://openalex.org/W1722318740","https://openalex.org/W1985967702","https://openalex.org/W1993962865","https://openalex.org/W2031342017","https://openalex.org/W2089685866","https://openalex.org/W2097308346","https://openalex.org/W2104068492","https://openalex.org/W2112483442","https://openalex.org/W2115403315","https://openalex.org/W2119605622","https://openalex.org/W2120149881","https://openalex.org/W2120354757","https://openalex.org/W2126017757","https://openalex.org/W2128053425","https://openalex.org/W2129517580","https://openalex.org/W2132175002","https://openalex.org/W2139823104","https://openalex.org/W2149466042","https://openalex.org/W2157785665","https://openalex.org/W2158108973","https://openalex.org/W2158815628","https://openalex.org/W2162950292","https://openalex.org/W2163302275","https://openalex.org/W2165698076","https://openalex.org/W2165916500","https://openalex.org/W2255038316","https://openalex.org/W2811380766","https://openalex.org/W2950333415","https://openalex.org/W3146885639","https://openalex.org/W6610754620","https://openalex.org/W6637154279","https://openalex.org/W6637542466","https://openalex.org/W6672976891","https://openalex.org/W6675930903","https://openalex.org/W6676840641","https://openalex.org/W6678296315","https://openalex.org/W6680434193","https://openalex.org/W6681637710","https://openalex.org/W6683401423","https://openalex.org/W6684149856","https://openalex.org/W6692019673"],"related_works":["https://openalex.org/W2391321755","https://openalex.org/W2949110394","https://openalex.org/W2896134808","https://openalex.org/W4289378085","https://openalex.org/W2071055957","https://openalex.org/W4211228991","https://openalex.org/W2353790329","https://openalex.org/W3103861421","https://openalex.org/W2754495451","https://openalex.org/W2279743781"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3,22],"new":[4],"method":[5,36,68,81],"to":[6,40,49],"solve":[7],"the":[8,14,34,51,55,66,79,83],"cross-domain":[9],"recognition":[10],"problem.":[11],"Different":[12],"from":[13],"traditional":[15],"domain":[16,24],"adaption":[17],"methods":[18],"which":[19],"rely":[20],"on":[21,69],"global":[23],"shift":[25],"for":[26],"all":[27],"classes":[28],"between":[29],"source":[30,60],"and":[31,61,74],"target":[32,62],"domain,":[33],"proposed":[35,67,80],"is":[37],"more":[38],"flexible":[39],"capture":[41],"individual":[42],"class":[43],"variations":[44],"across":[45],"domains.":[46],"We":[47,64],"propose":[48],"solves":[50],"problem":[52],"by":[53],"finding":[54],"compact":[56],"joint":[57],"subspaces":[58],"of":[59],"domain.":[63],"evaluate":[65],"two":[70],"widely":[71],"used":[72],"datasets":[73],"comparison":[75,84],"results":[76],"demonstrates":[77],"that":[78],"outperforms":[82],"methods.":[85]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
