{"id":"https://openalex.org/W3003679570","doi":"https://doi.org/10.1145/3375998.3376022","title":"Semi-supervised Flexible Joint Distribution Adaptation","display_name":"Semi-supervised Flexible Joint Distribution Adaptation","publication_year":2019,"publication_date":"2019-12-13","ids":{"openalex":"https://openalex.org/W3003679570","doi":"https://doi.org/10.1145/3375998.3376022","mag":"3003679570"},"language":"en","primary_location":{"id":"doi:10.1145/3375998.3376022","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3375998.3376022","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 8th International Conference on Networks, Communication and Computing","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/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":["School of Information Engineering, Henan University of Science and Technology, Luoyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, 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":["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/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":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":"last","author":{"id":"https://openalex.org/A5038424649","display_name":"Jianwei Ma","orcid":"https://orcid.org/0000-0003-4069-8880"},"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":"Jianwei Ma","raw_affiliation_strings":["School of Information Engineering, Henan University of Science and Technology, Luoyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Henan University of Science and Technology, Luoyang, China","institution_ids":["https://openalex.org/I167383011"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5467,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.73000829,"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":"19","last_page":"27"},"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":0.9934999942779541,"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":0.9934999942779541,"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":0.9829000234603882,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9668999910354614,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7192540168762207},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6654782891273499},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5834891200065613},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3757322132587433},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09371688961982727}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7192540168762207},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6654782891273499},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5834891200065613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3757322132587433},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09371688961982727},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3375998.3376022","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3375998.3376022","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 8th International Conference on Networks, Communication and Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7099999785423279,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W46086471","https://openalex.org/W81851533","https://openalex.org/W271456568","https://openalex.org/W1500583457","https://openalex.org/W1722318740","https://openalex.org/W2001619934","https://openalex.org/W2040812261","https://openalex.org/W2042453128","https://openalex.org/W2057266281","https://openalex.org/W2085044339","https://openalex.org/W2089468765","https://openalex.org/W2096943734","https://openalex.org/W2104068492","https://openalex.org/W2113590298","https://openalex.org/W2115403315","https://openalex.org/W2140348479","https://openalex.org/W2149466042","https://openalex.org/W2162854380","https://openalex.org/W2163584563","https://openalex.org/W2164943005","https://openalex.org/W2165698076","https://openalex.org/W2171785347","https://openalex.org/W2287252915","https://openalex.org/W2740866457","https://openalex.org/W2749529020","https://openalex.org/W2789495768","https://openalex.org/W2809105537","https://openalex.org/W2914393402","https://openalex.org/W2925005147","https://openalex.org/W2963756240","https://openalex.org/W4242177601","https://openalex.org/W6610754620","https://openalex.org/W6682644385","https://openalex.org/W6684207430"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"For":[0],"the":[1,10,34,55,88,105,125,129,134],"traditional":[2,56],"feature":[3,30,71],"transfer":[4,38],"method,":[5],"there":[6],"are":[7,102],"problems":[8],"that":[9],"projection":[11,58],"transformation":[12,51],"is":[13,81],"too":[14],"rigid":[15],"and":[16,68,74,90,98,131],"data":[17],"manifold":[18],"structure":[19],"cannot":[20],"be":[21],"captured":[22],"inadequately.":[23],"In":[24],"this":[25,66],"paper,":[26],"we":[27,47],"propose":[28],"a":[29,49],"extraction":[31],"method":[32],"with":[33],"ability":[35],"of":[36,54,87,121,133],"knowledge":[37],"named":[39],"Semi-supervised":[40],"Flexible":[41],"Joint":[42,60],"Distribution":[43,61],"Adaptation":[44,62],"(SFJDA).":[45],"Firstly,":[46],"introduce":[48],"flexible":[50],"constraint":[52,67],"instead":[53],"linear":[57],"into":[59,104],"(JDA)":[63],"to":[64,83,108],"relax":[65],"extract":[69],"shared":[70],"between":[72],"source":[73,89],"target":[75,91],"domains.":[76,92],"Secondly,":[77],"Manifold":[78],"Alignment":[79],"(MA)":[80],"introduced":[82],"mine":[84],"geometric":[85],"information":[86],"Finally,":[93],"Linear":[94],"Discriminant":[95],"Analysis":[96],"(LDA)":[97],"its":[99],"kernel":[100],"form":[101],"integrated":[103],"objective":[106],"function":[107],"keep":[109],"class":[110],"separability":[111],"during":[112],"label":[113],"refinement":[114],"procedure.":[115],"Experimental":[116],"results":[117],"on":[118],"36":[119],"groups":[120],"image":[122],"datasets":[123],"in":[124],"classification":[126],"task":[127],"validate":[128],"feasibility":[130],"effectiveness":[132],"proposed":[135],"algorithm.":[136]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
