{"id":"https://openalex.org/W4390691217","doi":"https://doi.org/10.1109/tnnls.2023.3349142","title":"Multiview Large Margin Distribution Machine","display_name":"Multiview Large Margin Distribution Machine","publication_year":2024,"publication_date":"2024-01-10","ids":{"openalex":"https://openalex.org/W4390691217","doi":"https://doi.org/10.1109/tnnls.2023.3349142","pmid":"https://pubmed.ncbi.nlm.nih.gov/38198264"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2023.3349142","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3349142","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5103095766","display_name":"Kun Hu","orcid":"https://orcid.org/0009-0002-6634-5856"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Hu","raw_affiliation_strings":["School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China","Engineering Research Center of Learning-Based Intelligent System, Ministry of Education, Tianjin, China"],"raw_orcid":"https://orcid.org/0009-0002-6634-5856","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I136765683"]},{"raw_affiliation_string":"Engineering Research Center of Learning-Based Intelligent System, Ministry of Education, Tianjin, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082799071","display_name":"Yingyuan Xiao","orcid":"https://orcid.org/0000-0002-5711-8638"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingyuan Xiao","raw_affiliation_strings":["School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China","Engineering Research Center of Learning-Based Intelligent System, Ministry of Education, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-5711-8638","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I136765683"]},{"raw_affiliation_string":"Engineering Research Center of Learning-Based Intelligent System, Ministry of Education, Tianjin, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041936738","display_name":"Wenguang Zheng","orcid":"https://orcid.org/0000-0003-0474-6611"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenguang Zheng","raw_affiliation_strings":["School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China","Engineering Research Center of Learning-Based Intelligent System, Ministry of Education, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I136765683"]},{"raw_affiliation_string":"Engineering Research Center of Learning-Based Intelligent System, Ministry of Education, Tianjin, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030127291","display_name":"Wenxin Zhu","orcid":"https://orcid.org/0000-0002-4493-2868"},"institutions":[{"id":"https://openalex.org/I11849452","display_name":"Tianjin Agricultural University","ror":"https://ror.org/0010b6s72","country_code":"CN","type":"education","lineage":["https://openalex.org/I11849452"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxin Zhu","raw_affiliation_strings":["College of Basic Science, Tianjin Agricultural University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-4493-2868","affiliations":[{"raw_affiliation_string":"College of Basic Science, Tianjin Agricultural University, Tianjin, China","institution_ids":["https://openalex.org/I11849452"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035377793","display_name":"Ching\u2010Hsien Hsu","orcid":"https://orcid.org/0000-0002-2440-2771"},"institutions":[{"id":"https://openalex.org/I143578492","display_name":"Asia University","ror":"https://ror.org/038a1tp19","country_code":"TW","type":"education","lineage":["https://openalex.org/I143578492"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ching-Hsien Hsu","raw_affiliation_strings":["College of Information and Electrical Engineering, Asia University, Taichung, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-2440-2771","affiliations":[{"raw_affiliation_string":"College of Information and Electrical Engineering, Asia University, Taichung, Taiwan","institution_ids":["https://openalex.org/I143578492"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.8899,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.93934425,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"36","issue":"2","first_page":"2395","last_page":"2409"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9983999729156494,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9983999729156494,"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/T10057","display_name":"Face and Expression Recognition","score":0.9983000159263611,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9915000200271606,"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/margin","display_name":"Margin (machine learning)","score":0.8931112885475159},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6534239053726196},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6409343481063843},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6190127730369568},{"id":"https://openalex.org/keywords/complementarity","display_name":"Complementarity (molecular biology)","score":0.5888230800628662},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5722001791000366},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.559003472328186},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5193703770637512},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43617191910743713},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4267755448818207},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.4156280755996704},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40202271938323975},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3447292447090149},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32842761278152466},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32380950450897217},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31412410736083984},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08352664113044739}],"concepts":[{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.8931112885475159},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6534239053726196},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6409343481063843},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6190127730369568},{"id":"https://openalex.org/C202269582","wikidata":"https://www.wikidata.org/wiki/Q2644277","display_name":"Complementarity (molecular biology)","level":2,"score":0.5888230800628662},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5722001791000366},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.559003472328186},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5193703770637512},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43617191910743713},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4267755448818207},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.4156280755996704},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40202271938323975},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3447292447090149},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32842761278152466},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32380950450897217},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31412410736083984},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08352664113044739},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2023.3349142","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3349142","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:38198264","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38198264","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":90,"referenced_works":["https://openalex.org/W1497960466","https://openalex.org/W1498832362","https://openalex.org/W1510073064","https://openalex.org/W1596717185","https://openalex.org/W1604938182","https://openalex.org/W1953764758","https://openalex.org/W1994807229","https://openalex.org/W2010466709","https://openalex.org/W2017776670","https://openalex.org/W2037603696","https://openalex.org/W2048679005","https://openalex.org/W2060915594","https://openalex.org/W2071207147","https://openalex.org/W2074742811","https://openalex.org/W2080917896","https://openalex.org/W2081621367","https://openalex.org/W2101456598","https://openalex.org/W2128532956","https://openalex.org/W2129763352","https://openalex.org/W2131436045","https://openalex.org/W2151509918","https://openalex.org/W2154179941","https://openalex.org/W2156909104","https://openalex.org/W2158498053","https://openalex.org/W2160158899","https://openalex.org/W2170860445","https://openalex.org/W2171332245","https://openalex.org/W2172195373","https://openalex.org/W2186500555","https://openalex.org/W2197707282","https://openalex.org/W2317515691","https://openalex.org/W2408246687","https://openalex.org/W2418258728","https://openalex.org/W2560070550","https://openalex.org/W2579923771","https://openalex.org/W2590019597","https://openalex.org/W2593914038","https://openalex.org/W2745244513","https://openalex.org/W2771872406","https://openalex.org/W2783299469","https://openalex.org/W2788883687","https://openalex.org/W2810772906","https://openalex.org/W2883387735","https://openalex.org/W2884852197","https://openalex.org/W2902180148","https://openalex.org/W2904219654","https://openalex.org/W2907599615","https://openalex.org/W2907934539","https://openalex.org/W2919821184","https://openalex.org/W2944152053","https://openalex.org/W2962702916","https://openalex.org/W2964744810","https://openalex.org/W2979750067","https://openalex.org/W2988589399","https://openalex.org/W2997546679","https://openalex.org/W3006834685","https://openalex.org/W3020462739","https://openalex.org/W3022935508","https://openalex.org/W3023635941","https://openalex.org/W3027333051","https://openalex.org/W3034806882","https://openalex.org/W3039503982","https://openalex.org/W3046595341","https://openalex.org/W3087895544","https://openalex.org/W3118913631","https://openalex.org/W3131466608","https://openalex.org/W3132997071","https://openalex.org/W3177902242","https://openalex.org/W3189084258","https://openalex.org/W4220726338","https://openalex.org/W4235178178","https://openalex.org/W4239510810","https://openalex.org/W4248437541","https://openalex.org/W4249992252","https://openalex.org/W4252684946","https://openalex.org/W6602211964","https://openalex.org/W6602569864","https://openalex.org/W6629626516","https://openalex.org/W6629823275","https://openalex.org/W6630527977","https://openalex.org/W6631216910","https://openalex.org/W6639103823","https://openalex.org/W6680860788","https://openalex.org/W6681427677","https://openalex.org/W6682742115","https://openalex.org/W6684220874","https://openalex.org/W6732006236","https://openalex.org/W6732517885","https://openalex.org/W6741663788","https://openalex.org/W7039386316"],"related_works":["https://openalex.org/W1527041535","https://openalex.org/W2521519254","https://openalex.org/W3139833644","https://openalex.org/W3123110765","https://openalex.org/W4383553409","https://openalex.org/W2104948296","https://openalex.org/W1735800226","https://openalex.org/W4285172739","https://openalex.org/W2997457842","https://openalex.org/W1997431798"],"abstract_inverted_index":{"Margin":[0],"distribution":[1,24,30,70,111],"has":[2],"been":[3],"proven":[4],"to":[5,87,97,131,186],"play":[6],"a":[7,38,66,83,94,149],"crucial":[8],"role":[9],"in":[10,104],"improving":[11],"generalization":[12,138],"ability.":[13],"In":[14,61,122,144],"recent":[15],"studies,":[16],"many":[17],"methods":[18,46],"are":[19,47],"designed":[20],"using":[21,170],"large":[22],"margin":[23,29,69,78,110],"machine":[25,34],"(LDM),":[26],"which":[27,74],"combines":[28],"with":[31],"support":[32],"vector":[33],"(SVM),":[35],"such":[36],"that":[37,182],"better":[39],"performance":[40,151,176],"can":[41],"be":[42],"achieved.":[43],"However,":[44],"these":[45],"usually":[48],"proposed":[49,86],"based":[50],"on":[51],"single-view":[52],"data":[53],"and":[54,80,112,118,137,173],"ignore":[55],"the":[56,99,107,115,119,123,133,142,145,153,159],"connection":[57],"between":[58],"different":[59],"views.":[60],"this":[62],"article,":[63],"we":[64,126,147],"propose":[65],"new":[67,95,150],"multiview":[68,77,89,162],"model,":[71],"called":[72],"MVLDM,":[73],"constructs":[75],"both":[76,114,171],"mean":[79],"variance.":[81],"Besides,":[82],"framework":[84],"is":[85,184],"achieve":[88],"learning":[90],"(MVL).":[91],"MVLDM":[92,167,183],"provides":[93],"way":[96],"explore":[98],"utilization":[100],"of":[101,109,141,161,166],"complementary":[102],"information":[103],"MVL":[105],"from":[106],"perspective":[108],"satisfies":[113],"consistency":[116,134,155],"principle":[117],"complementarity":[120],"principle.":[121],"theoretical":[124],"analysis,":[125],"used":[127],"Rademacher":[128],"complexity":[129],"theory":[130],"analyze":[132],"error":[135,139],"bound":[136,140],"MVLDM.":[143],"experiments,":[146],"constructed":[148],"metric,":[152],"view":[154],"rate":[156],"(VCR),":[157],"for":[158],"characteristics":[160],"data.":[163],"The":[164,178],"effectiveness":[165],"was":[168],"evaluated":[169],"VCR":[172],"other":[174,187],"traditional":[175],"metrics.":[177],"experimental":[179],"results":[180],"show":[181],"superior":[185],"benchmark":[188],"methods.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}