{"id":"https://openalex.org/W2085748523","doi":"https://doi.org/10.1109/tcyb.2013.2248710","title":"Localized Multiple Kernel Learning Via Sample-Wise Alternating Optimization","display_name":"Localized Multiple Kernel Learning Via Sample-Wise Alternating Optimization","publication_year":2013,"publication_date":"2013-03-22","ids":{"openalex":"https://openalex.org/W2085748523","doi":"https://doi.org/10.1109/tcyb.2013.2248710","mag":"2085748523","pmid":"https://pubmed.ncbi.nlm.nih.gov/23757538"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2013.2248710","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2013.2248710","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","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/A5059934834","display_name":"Yina Han","orcid":"https://orcid.org/0000-0001-9713-1821"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yina Han","raw_affiliation_strings":["Northwestern Polytechnical University, School of Marine Engineering, Xi'an, China","Sch. of Marine Eng., Northwestern Polytech. Univ., Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, School of Marine Engineering, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Sch. of Marine Eng., Northwestern Polytech. Univ., Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070603421","display_name":"Kunde Yang","orcid":"https://orcid.org/0000-0003-3775-4191"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kunde Yang","raw_affiliation_strings":["Northwestern Polytechnical University, School of Marine Engineering, Xi'an, China","Sch. of Marine Eng., Northwestern Polytech. Univ., Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, School of Marine Engineering, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Sch. of Marine Eng., Northwestern Polytech. Univ., Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111435154","display_name":"Yuanliang Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanliang Ma","raw_affiliation_strings":["Northwestern Polytechnical University, School of Marine Engineering, Xi'an, China","Sch. of Marine Eng., Northwestern Polytech. Univ., Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, School of Marine Engineering, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Sch. of Marine Eng., Northwestern Polytech. Univ., Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071277762","display_name":"Guizhong Liu","orcid":"https://orcid.org/0000-0001-9149-4576"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guizhong Liu","raw_affiliation_strings":["Xi'an Jiaotong University, School of Electronic and Information Engineering, Xi'an, China","Sch. of Electron. & Inf. Eng., Xi'an JiaoTong Univ., Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong University, School of Electronic and Information Engineering, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Sch. of Electron. & Inf. Eng., Xi'an JiaoTong Univ., Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":2.9067,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.91270816,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"44","issue":"1","first_page":"137","last_page":"148"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9995999932289124,"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":0.9995999932289124,"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/T12676","display_name":"Machine Learning and ELM","score":0.9993000030517578,"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":0.9990000128746033,"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/tree-kernel","display_name":"Tree kernel","score":0.5553544759750366},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5248575210571289},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.5218438506126404},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5045732259750366},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5004806518554688},{"id":"https://openalex.org/keywords/multiple-kernel-learning","display_name":"Multiple kernel learning","score":0.4873526990413666},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4729849100112915},{"id":"https://openalex.org/keywords/radial-basis-function-kernel","display_name":"Radial basis function kernel","score":0.45007988810539246},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4177550673484802},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.370417982339859},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33897489309310913},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.16989877820014954}],"concepts":[{"id":"https://openalex.org/C140417398","wikidata":"https://www.wikidata.org/wiki/Q16933942","display_name":"Tree kernel","level":5,"score":0.5553544759750366},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5248575210571289},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.5218438506126404},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5045732259750366},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5004806518554688},{"id":"https://openalex.org/C2776879701","wikidata":"https://www.wikidata.org/wiki/Q25048660","display_name":"Multiple kernel learning","level":4,"score":0.4873526990413666},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4729849100112915},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.45007988810539246},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4177550673484802},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.370417982339859},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33897489309310913},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.16989877820014954}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2013.2248710","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2013.2248710","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},{"id":"pmid:23757538","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/23757538","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 cybernetics","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1510073064","https://openalex.org/W1546257250","https://openalex.org/W1915109052","https://openalex.org/W1944448017","https://openalex.org/W1971402309","https://openalex.org/W1986295288","https://openalex.org/W1997221694","https://openalex.org/W1999693420","https://openalex.org/W2017814585","https://openalex.org/W2031063655","https://openalex.org/W2031823405","https://openalex.org/W2040848081","https://openalex.org/W2048857329","https://openalex.org/W2071956453","https://openalex.org/W2101229103","https://openalex.org/W2104156750","https://openalex.org/W2104472920","https://openalex.org/W2107034620","https://openalex.org/W2117866949","https://openalex.org/W2120137102","https://openalex.org/W2120626191","https://openalex.org/W2122141986","https://openalex.org/W2125574651","https://openalex.org/W2127069950","https://openalex.org/W2127997884","https://openalex.org/W2129156852","https://openalex.org/W2142387771","https://openalex.org/W2145295623","https://openalex.org/W2146022472","https://openalex.org/W2152161678","https://openalex.org/W2154054404","https://openalex.org/W2154462399","https://openalex.org/W2155676512","https://openalex.org/W2162915993","https://openalex.org/W2164535072","https://openalex.org/W2165828254","https://openalex.org/W2166781916","https://openalex.org/W2167416974","https://openalex.org/W2169171650","https://openalex.org/W2171855237","https://openalex.org/W4246066915","https://openalex.org/W4250589301","https://openalex.org/W6640140148","https://openalex.org/W6640526699","https://openalex.org/W6641446668","https://openalex.org/W6675622099","https://openalex.org/W6677899840","https://openalex.org/W6678862435","https://openalex.org/W6680751671","https://openalex.org/W6683181193","https://openalex.org/W6684067080","https://openalex.org/W6684734391","https://openalex.org/W7030155969"],"related_works":["https://openalex.org/W2970160020","https://openalex.org/W2725311638","https://openalex.org/W2043864454","https://openalex.org/W4291669689","https://openalex.org/W1535136526","https://openalex.org/W1983263273","https://openalex.org/W2169565408","https://openalex.org/W2166200312","https://openalex.org/W1969447452","https://openalex.org/W2092483655"],"abstract_inverted_index":{"Our":[0],"objective":[1,90],"is":[2,45,97,119],"to":[3,106,167],"train":[4],"support":[5],"vector":[6],"machines":[7],"(SVM)-based":[8],"localized":[9,124],"multiple":[10],"kernel":[11,33,57,72,125,153],"learning":[12,198],"(LMKL),":[13],"using":[14],"the":[15,19,24,31,42,46,51,56,60,65,69,88,113,123,151,156,163,172,177,184,189,207,212],"alternating":[16,38,116],"optimization":[17,39,53,117],"between":[18],"standard":[20],"SVM":[21],"solvers":[22],"with":[23,143],"local":[25],"combination":[26],"of":[27,37,71,103,211],"base":[28],"kernels":[29],"and":[30,50,59,180,200,209],"sample-specific":[32,66],"weights.":[34],"The":[35],"advantage":[36],"developed":[40],"from":[41,83],"state-of-the-art":[43,93],"MKL":[44],"SVM-tied":[47],"overall":[48],"complexity":[49],"simultaneous":[52],"on":[54,91,162,194],"both":[55],"weights":[58,73,126,154],"classifier.":[61],"Unfortunately,":[62],"in":[63,121],"LMKL,":[64],"character":[67],"makes":[68],"updating":[70],"a":[74,84],"difficult":[75],"quadratic":[76],"nonconvex":[77],"problem.":[78],"In":[79],"this":[80],"paper,":[81],"starting":[82],"new":[85],"primal-dual":[86],"equivalence,":[87],"canonical":[89],"which":[92,122],"methods":[94],"are":[95,159],"based":[96,161],"first":[98],"decomposed":[99],"into":[100,183],"an":[101],"ensemble":[102],"objectives":[104],"corresponding":[105],"each":[107],"sample,":[108],"namely,":[109],"sample-wise":[110,115,135,190],"objectives.":[111,191],"Then,":[112],"associated":[114],"method":[118],"conducted,":[120],"can":[127],"be":[128],"independently":[129],"obtained":[130],"by":[131],"solving":[132],"their":[133,169],"exclusive":[134],"objectives,":[136],"either":[137],"linear":[138],"programming":[139],"(for":[140,146],"l1-norm)":[141],"or":[142],"closed-form":[144],"solutions":[145],"lp-norm).":[147],"At":[148],"test":[149,173],"time,":[150],"learnt":[152],"for":[155],"training":[157],"data":[158],"deployed":[160],"nearest-neighbor":[164],"rule.":[165],"Hence,":[166],"guarantee":[168],"generality":[170],"among":[171],"part,":[174],"we":[175],"introduce":[176],"neighborhood":[178],"information":[179],"incorporate":[181],"it":[182],"empirical":[185],"loss":[186],"when":[187],"deriving":[188],"Extensive":[192],"experiments":[193],"four":[195],"benchmark":[196],"machine":[197],"datasets":[199,205],"two":[201],"real-world":[202],"computer":[203],"vision":[204],"demonstrate":[206],"effectiveness":[208],"efficiency":[210],"proposed":[213],"algorithm.":[214]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}