{"id":"https://openalex.org/W2082496757","doi":"https://doi.org/10.1109/ijcnn.2013.6706940","title":"Maximal margin learning vector quantisation","display_name":"Maximal margin learning vector quantisation","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W2082496757","doi":"https://doi.org/10.1109/ijcnn.2013.6706940","mag":"2082496757"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2013.6706940","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2013.6706940","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2013 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/A5102780660","display_name":"Trung Le","orcid":"https://orcid.org/0000-0003-0414-9067"},"institutions":[{"id":"https://openalex.org/I47265099","display_name":"Ho Chi Minh City University of Technology","ror":"https://ror.org/04qva2324","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I47265099"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Trung Le","raw_affiliation_strings":["Faculty of Information Technology, HCMc University of Pedagogy, Hochiminh city, Vietnam","Fac. of Inf. Technol., HCMc Univ. of Pedagogy, Ho Chi Minh City, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, HCMc University of Pedagogy, Hochiminh city, Vietnam","institution_ids":[]},{"raw_affiliation_string":"Fac. of Inf. Technol., HCMc Univ. of Pedagogy, Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I47265099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006197101","display_name":"Dat Tran","orcid":"https://orcid.org/0000-0002-5788-0446"},"institutions":[{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Dat Tran","raw_affiliation_strings":["Faculty of Education, Science, Technology and Mathematics, University of Canberra, Australia","Fac. of Educ., Sci. Technol. & Math., Univ. of Canberra, Canberra, ACT, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Education, Science, Technology and Mathematics, University of Canberra, Australia","institution_ids":["https://openalex.org/I188329596"]},{"raw_affiliation_string":"Fac. of Educ., Sci. Technol. & Math., Univ. of Canberra, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I188329596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087959841","display_name":"Van-Doan Nguyen","orcid":"https://orcid.org/0000-0001-5834-3709"},"institutions":[{"id":"https://openalex.org/I47265099","display_name":"Ho Chi Minh City University of Technology","ror":"https://ror.org/04qva2324","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I47265099"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Van Nguyen","raw_affiliation_strings":["Faculty of Information Technology, HCMc University of Pedagogy, Hochiminh city, Vietnam","Fac. of Inf. Technol., HCMc Univ. of Pedagogy, Ho Chi Minh City, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, HCMc University of Pedagogy, Hochiminh city, Vietnam","institution_ids":[]},{"raw_affiliation_string":"Fac. of Inf. Technol., HCMc Univ. of Pedagogy, Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I47265099"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089771247","display_name":"Wanli Ma","orcid":"https://orcid.org/0000-0002-6172-020X"},"institutions":[{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wanli Ma","raw_affiliation_strings":["Faculty of Education, Science, Technology and Mathematics, University of Canberra, Australia","Fac. of Educ., Sci. Technol. & Math., Univ. of Canberra, Canberra, ACT, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Education, Science, Technology and Mathematics, University of Canberra, Australia","institution_ids":["https://openalex.org/I188329596"]},{"raw_affiliation_string":"Fac. of Educ., Sci. Technol. & Math., Univ. of Canberra, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I188329596"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19551831,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9986000061035156,"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"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9986000061035156,"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/T10320","display_name":"Neural Networks and Applications","score":0.9975000023841858,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9939000010490417,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.8509426116943359},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.710757315158844},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6497101783752441},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.617129385471344},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.6106271743774414},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5927685499191284},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5848501920700073},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5555444955825806},{"id":"https://openalex.org/keywords/multiple-kernel-learning","display_name":"Multiple kernel learning","score":0.4417567253112793},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4260120987892151},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4199036955833435},{"id":"https://openalex.org/keywords/polynomial-kernel","display_name":"Polynomial kernel","score":0.4163625240325928},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37414711713790894},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32583826780319214},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3154859244823456},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.08485978841781616}],"concepts":[{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.8509426116943359},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.710757315158844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6497101783752441},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.617129385471344},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.6106271743774414},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5927685499191284},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5848501920700073},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5555444955825806},{"id":"https://openalex.org/C2776879701","wikidata":"https://www.wikidata.org/wiki/Q25048660","display_name":"Multiple kernel learning","level":4,"score":0.4417567253112793},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4260120987892151},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4199036955833435},{"id":"https://openalex.org/C160446489","wikidata":"https://www.wikidata.org/wiki/Q7226642","display_name":"Polynomial kernel","level":4,"score":0.4163625240325928},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37414711713790894},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32583826780319214},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3154859244823456},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.08485978841781616},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2013.6706940","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2013.6706940","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2013 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:tle:bf03e6bd-31fd-4d3b-9d2e-a20a2e3f7156:1f071524-0ffb-45dd-b0fd-e2ac8222ffc2:1","is_oa":false,"landing_page_url":"http://www.canberra.edu.au/researchrepository/items/bf03e6bd-31fd-4d3b-9d2e-a20a2e3f7156/1/","pdf_url":null,"source":{"id":"https://openalex.org/S7407050591","display_name":"University of Canberra Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W23758216","https://openalex.org/W1560724230","https://openalex.org/W1762583017","https://openalex.org/W1988790447","https://openalex.org/W1991848143","https://openalex.org/W2019377636","https://openalex.org/W2023935830","https://openalex.org/W2094150678","https://openalex.org/W2119821739","https://openalex.org/W2123749980","https://openalex.org/W2126652588","https://openalex.org/W2139212933","https://openalex.org/W2142248489","https://openalex.org/W2146077544","https://openalex.org/W2156909104","https://openalex.org/W3144619878","https://openalex.org/W4230674625","https://openalex.org/W4236364574","https://openalex.org/W4239510810","https://openalex.org/W4244998381","https://openalex.org/W6637752012","https://openalex.org/W6678524678","https://openalex.org/W6681025329","https://openalex.org/W6681429078"],"related_works":["https://openalex.org/W2088032561","https://openalex.org/W1565299197","https://openalex.org/W2371064519","https://openalex.org/W4291669689","https://openalex.org/W2071590642","https://openalex.org/W1969447452","https://openalex.org/W1969163824","https://openalex.org/W2055608878","https://openalex.org/W2001173190","https://openalex.org/W2003473336"],"abstract_inverted_index":{"Kernel":[0],"Generalised":[1,10],"Learning":[2,11],"Vector":[3,12],"Quantisation":[4,13],"(KGLVQ)":[5],"was":[6],"proposed":[7,102],"to":[8,19,63,80],"extend":[9],"into":[14],"the":[15,42,64,69,76,82,88,101],"kernel":[16],"feature":[17],"space":[18],"deal":[20],"with":[21],"complex":[22,31],"class":[23],"boundaries":[24],"and":[25,73],"thus":[26],"yielded":[27],"promising":[28,97],"performance":[29],"for":[30,49,100],"classification":[32,98],"tasks":[33],"in":[34,93],"pattern":[35],"recognition.":[36],"However":[37],"KGLVQ":[38,65,72],"does":[39],"not":[40],"follow":[41],"maximal":[43,59,77],"margin":[44,60,78],"principle,":[45],"which":[46],"is":[47],"crucial":[48],"kernel-based":[50],"learning":[51],"methods.":[52],"In":[53],"this":[54],"paper":[55],"we":[56],"propose":[57],"a":[58],"approach":[61],"(MLVQ)":[62],"algorithm.":[66],"MLVQ":[67],"inherits":[68],"merits":[70],"of":[71],"also":[74],"follows":[75],"principle":[79],"improve":[81],"generalisation":[83],"capability.":[84],"Experiments":[85],"performed":[86],"on":[87],"well-known":[89],"data":[90],"sets":[91],"available":[92],"UCI":[94],"repository":[95],"show":[96],"results":[99],"method.":[103]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
