{"id":"https://openalex.org/W2551280341","doi":"https://doi.org/10.1109/ijcnn.2016.7727474","title":"Discriminative kernel transfer learning via l&lt;inf&gt;2,1&lt;/inf&gt;-norm minimization","display_name":"Discriminative kernel transfer learning via l&lt;inf&gt;2,1&lt;/inf&gt;-norm minimization","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2551280341","doi":"https://doi.org/10.1109/ijcnn.2016.7727474","mag":"2551280341"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2016.7727474","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727474","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","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/A5106578837","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0002-5305-8543"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["College of Communication Engineering, Chongqing University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Communication Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044207716","display_name":"Sunil Kumar Jha","orcid":"https://orcid.org/0000-0002-6955-1244"},"institutions":[{"id":"https://openalex.org/I71965090","display_name":"University of Information Science and Technology St. Paul The Apostle","ror":"https://ror.org/0264mz016","country_code":"MK","type":"education","lineage":["https://openalex.org/I71965090"]}],"countries":["MK"],"is_corresponding":false,"raw_author_name":"Sunil Kr. Jha","raw_affiliation_strings":["University of Information Science and Technology \u201cSt. Paul the Apostle\u201d, Ohrid, Macedonia","University of Information Science and Technology \"St. Paul the Apostle\", Ohrid, Macedonia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Information Science and Technology \u201cSt. Paul the Apostle\u201d, Ohrid, Macedonia","institution_ids":["https://openalex.org/I71965090"]},{"raw_affiliation_string":"University of Information Science and Technology \"St. Paul the Apostle\", Ohrid, Macedonia","institution_ids":["https://openalex.org/I71965090"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008976636","display_name":"Tao Liu","orcid":"https://orcid.org/0000-0002-9398-7005"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Liu","raw_affiliation_strings":["College of Communication Engineering, Chongqing University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Communication Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110112482","display_name":"Guangshu Pei","orcid":null},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangshu Pei","raw_affiliation_strings":["Graduate School of Chongqing University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7765,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.75040813,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"7","issue":null,"first_page":"2220","last_page":"2227"},"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":0.9990000128746033,"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":0.9990000128746033,"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/T11243","display_name":"Respiratory viral infections research","score":0.949400007724762,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9390000104904175,"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/discriminative-model","display_name":"Discriminative model","score":0.8778929710388184},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.591860294342041},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5409278869628906},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5260926485061646},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.4820731282234192},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.47737690806388855},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.4424859285354614},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.43800777196884155},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37712526321411133},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37359684705734253},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3356693387031555},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3226812481880188},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.18300357460975647}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8778929710388184},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.591860294342041},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5409278869628906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5260926485061646},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.4820731282234192},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.47737690806388855},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.4424859285354614},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.43800777196884155},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37712526321411133},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37359684705734253},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3356693387031555},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3226812481880188},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.18300357460975647},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2016.7727474","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727474","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W79405465","https://openalex.org/W346657789","https://openalex.org/W1722318740","https://openalex.org/W1978920452","https://openalex.org/W1981658663","https://openalex.org/W1985967702","https://openalex.org/W1993962865","https://openalex.org/W1997201895","https://openalex.org/W2003217181","https://openalex.org/W2009668020","https://openalex.org/W2059477850","https://openalex.org/W2065494927","https://openalex.org/W2076363162","https://openalex.org/W2089685866","https://openalex.org/W2090923791","https://openalex.org/W2099501835","https://openalex.org/W2104068492","https://openalex.org/W2112796928","https://openalex.org/W2120149881","https://openalex.org/W2120354757","https://openalex.org/W2128053425","https://openalex.org/W2142114717","https://openalex.org/W2149466042","https://openalex.org/W2155541015","https://openalex.org/W2157032359","https://openalex.org/W2163605009","https://openalex.org/W2165698076","https://openalex.org/W2283717164","https://openalex.org/W2912990735","https://openalex.org/W3120740533","https://openalex.org/W3146885639","https://openalex.org/W4294375521","https://openalex.org/W6603183647","https://openalex.org/W6611709765","https://openalex.org/W6637542466","https://openalex.org/W6672976891","https://openalex.org/W6678296315","https://openalex.org/W6679213167","https://openalex.org/W6681325634","https://openalex.org/W6681637710","https://openalex.org/W6682778277","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2579773835","https://openalex.org/W4312246223","https://openalex.org/W3095487414","https://openalex.org/W2901026139"],"abstract_inverted_index":{"In":[0],"this":[1,88],"paper,":[2],"we":[3,92],"propose":[4,93],"a":[5,126],"l2,1-norm":[6],"based":[7,37,154],"discriminative":[8,25,147],"robust":[9,38,122],"transfer":[10,39,76,155],"learning":[11,77,156],"(DKTL)":[12],"method":[13,115,166],"for":[14,85,152],"domain":[15,43,46,101,170],"adaptation":[16,171],"tasks.":[17,157],"The":[18,50,73],"key":[19],"idea":[20],"is":[21,78],"to":[22,58,67,79,94,145],"simultaneously":[23],"learn":[24],"subspaces":[26,148],"by":[27],"using":[28],"the":[29,35,60,69,81,96,113,121,139,161,164],"proposed":[30,82,114,140,165],"domain-class-consistency":[31],"(DCC)":[32],"metric,":[33,83],"and":[34,44,64,104,138],"representation":[36],"model":[40],"between":[41],"source":[42,129],"target":[45],"via":[47],"l21-norm":[48],"minimization.":[49],"DCC":[51,141],"metric":[52,89,142],"includes":[53],"two":[54],"parts:":[55],"domain-consistency":[56],"used":[57,66],"measure":[59,68],"between-domain":[61],"distribution":[62,102],"discrepancy":[63],"class-consistency":[65],"within-domain":[70],"class":[71,105],"separability.":[72],"objective":[74],"of":[75,112,149,163],"maximize":[80],"while":[84],"easily":[86],"formulating":[87],"in":[90],"model,":[91],"minimize":[95],"domain-class-inconsistency,":[97],"such":[98],"that":[99,117],"both":[100],"mismatch":[103],"inseparability":[106],"are":[107,116],"well":[108],"addressed.":[109],"Two":[110],"advantages":[111],"on":[118],"one":[119],"hand":[120],"sparse":[123],"coding":[124],"selects":[125],"few":[127],"valuable":[128],"data":[130],"with":[131],"noises":[132],"(outliers)":[133],"removed":[134],"during":[135],"knowledge":[136],"transfer,":[137],"can":[143],"help":[144],"pursue":[146],"different":[150],"domains":[151],"classification":[153],"Extensive":[158],"experiments":[159],"demonstrate":[160],"superiority":[162],"over":[167],"other":[168],"state-of-the-art":[169],"methods.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
