{"id":"https://openalex.org/W2955931535","doi":"https://doi.org/10.1109/tnnls.2019.2922123","title":"SVRG-MKL: A Fast and Scalable Multiple Kernel Learning Solution for Features Combination in Multi-Class Classification Problems","display_name":"SVRG-MKL: A Fast and Scalable Multiple Kernel Learning Solution for Features Combination in Multi-Class Classification Problems","publication_year":2019,"publication_date":"2019-07-07","ids":{"openalex":"https://openalex.org/W2955931535","doi":"https://doi.org/10.1109/tnnls.2019.2922123","mag":"2955931535","pmid":"https://pubmed.ncbi.nlm.nih.gov/31283489"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2019.2922123","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2019.2922123","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/A5040179673","display_name":"Mitchel Alioscha\u2010Perez","orcid":"https://orcid.org/0000-0002-8488-5824"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Mitchel Alioscha-Perez","raw_affiliation_strings":["Electronics and Informatics (ETRO) Department, Vrije Universiteit Brussel, Brussels, Belgium"],"affiliations":[{"raw_affiliation_string":"Electronics and Informatics (ETRO) Department, Vrije Universiteit Brussel, Brussels, Belgium","institution_ids":["https://openalex.org/I13469542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069268336","display_name":"Meshia C\u00e9dric Oveneke","orcid":"https://orcid.org/0000-0003-4076-4614"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Meshia Cedric Oveneke","raw_affiliation_strings":["Electronics and Informatics (ETRO) Department, Vrije Universiteit Brussel, Brussels, Belgium"],"affiliations":[{"raw_affiliation_string":"Electronics and Informatics (ETRO) Department, Vrije Universiteit Brussel, Brussels, Belgium","institution_ids":["https://openalex.org/I13469542"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073820422","display_name":"Hichem Sahli","orcid":"https://orcid.org/0000-0002-1774-2970"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]},{"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"]},{"id":"https://openalex.org/I4210114974","display_name":"IMEC","ror":"https://ror.org/02kcbn207","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I4210114974"]}],"countries":["BE","CN"],"is_corresponding":false,"raw_author_name":"Hichem Sahli","raw_affiliation_strings":["Electornics and Informatics Department, Vrije Universiteit Brussel, Brussels, Belgium","Interuniversity Micro-Electronics Centre (imec), Leuven, Belgium","Northwestern Polytechnical University, Xi\u2019an, China"],"affiliations":[{"raw_affiliation_string":"Electornics and Informatics Department, Vrije Universiteit Brussel, Brussels, Belgium","institution_ids":["https://openalex.org/I13469542"]},{"raw_affiliation_string":"Interuniversity Micro-Electronics Centre (imec), Leuven, Belgium","institution_ids":["https://openalex.org/I4210114974"]},{"raw_affiliation_string":"Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5040179673"],"corresponding_institution_ids":["https://openalex.org/I13469542"],"apc_list":null,"apc_paid":null,"fwci":1.1238,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.82222012,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"31","issue":"5","first_page":"1710","last_page":"1723"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9994999766349792,"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":0.9988999962806702,"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/multiple-kernel-learning","display_name":"Multiple kernel learning","score":0.7798289060592651},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6874206066131592},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5828801393508911},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5811106562614441},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5627904534339905},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5589247345924377},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.528933584690094},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5246908068656921},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.33372795581817627},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32461604475975037},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21349692344665527},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.2087348997592926},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08917456865310669}],"concepts":[{"id":"https://openalex.org/C2776879701","wikidata":"https://www.wikidata.org/wiki/Q25048660","display_name":"Multiple kernel learning","level":4,"score":0.7798289060592651},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6874206066131592},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5828801393508911},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5811106562614441},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5627904534339905},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5589247345924377},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.528933584690094},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5246908068656921},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.33372795581817627},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32461604475975037},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21349692344665527},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.2087348997592926},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08917456865310669},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tnnls.2019.2922123","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2019.2922123","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:31283489","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31283489","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},{"id":"pmh:oai:vubissmart:VUBISSMART:2000:130075","is_oa":false,"landing_page_url":"https://biblio.vub.ac.be/vubir/svrgmkl-a-fast-and-scalable-multiple-kernel-learning-solution-for-features-combination-in-multiclass-classification-problems(3984b9d7-2e60-43ad-8e20-8a4e20132bfb).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306402573","display_name":"VUBIR (Vrije Universiteit Brussel)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I13469542","host_organization_name":"Vrije Universiteit Brussel","host_organization_lineage":["https://openalex.org/I13469542"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"publishedVersion"},{"id":"pmh:oai:vubissmart:VUBISSMART:2000:213163","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402573","display_name":"VUBIR (Vrije Universiteit Brussel)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I13469542","host_organization_name":"Vrije Universiteit Brussel","host_organization_lineage":["https://openalex.org/I13469542"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3090370231","display_name":null,"funder_award_id":"ILSRA-2009-1156","funder_id":"https://openalex.org/F4320318240","funder_display_name":"European Space Agency"},{"id":"https://openalex.org/G468923039","display_name":null,"funder_award_id":"131814","funder_id":"https://openalex.org/F4320321732","funder_display_name":"Agentschap voor Innovatie door Wetenschap en Technologie"}],"funders":[{"id":"https://openalex.org/F4320318240","display_name":"European Space Agency","ror":"https://ror.org/03wd9za21"},{"id":"https://openalex.org/F4320321454","display_name":"Belgian Federal Science Policy Office","ror":"https://ror.org/01fapfv42"},{"id":"https://openalex.org/F4320321732","display_name":"Agentschap voor Innovatie door Wetenschap en Technologie","ror":"https://ror.org/01antkr91"},{"id":"https://openalex.org/F4320322634","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":87,"referenced_works":["https://openalex.org/W1521731131","https://openalex.org/W1523661875","https://openalex.org/W1557994858","https://openalex.org/W1589178604","https://openalex.org/W1914219707","https://openalex.org/W1915109052","https://openalex.org/W1972025477","https://openalex.org/W1974549589","https://openalex.org/W1984309565","https://openalex.org/W1988813039","https://openalex.org/W2027922120","https://openalex.org/W2031823405","https://openalex.org/W2036956324","https://openalex.org/W2047152541","https://openalex.org/W2048041841","https://openalex.org/W2056277442","https://openalex.org/W2060166505","https://openalex.org/W2098741260","https://openalex.org/W2104472920","https://openalex.org/W2107438106","https://openalex.org/W2109235804","https://openalex.org/W2109743529","https://openalex.org/W2109844857","https://openalex.org/W2112019442","https://openalex.org/W2112796928","https://openalex.org/W2117866949","https://openalex.org/W2120137102","https://openalex.org/W2120149881","https://openalex.org/W2120717492","https://openalex.org/W2123872146","https://openalex.org/W2127069950","https://openalex.org/W2128035438","https://openalex.org/W2135974317","https://openalex.org/W2142422094","https://openalex.org/W2142623206","https://openalex.org/W2145295623","https://openalex.org/W2146897752","https://openalex.org/W2147277317","https://openalex.org/W2147898188","https://openalex.org/W2154462399","https://openalex.org/W2155490028","https://openalex.org/W2156365280","https://openalex.org/W2160840682","https://openalex.org/W2162915993","https://openalex.org/W2164535072","https://openalex.org/W2166049352","https://openalex.org/W2182347905","https://openalex.org/W2192643373","https://openalex.org/W2292254049","https://openalex.org/W2395325225","https://openalex.org/W2422452261","https://openalex.org/W2528191822","https://openalex.org/W2538129186","https://openalex.org/W2575689894","https://openalex.org/W2605087356","https://openalex.org/W2606024481","https://openalex.org/W2610681481","https://openalex.org/W2767696277","https://openalex.org/W2949578333","https://openalex.org/W2963156201","https://openalex.org/W3118608800","https://openalex.org/W3120740533","https://openalex.org/W4293456528","https://openalex.org/W4301206708","https://openalex.org/W6633323893","https://openalex.org/W6635259992","https://openalex.org/W6640015359","https://openalex.org/W6640140148","https://openalex.org/W6641446668","https://openalex.org/W6674709963","https://openalex.org/W6675788551","https://openalex.org/W6676101543","https://openalex.org/W6676105031","https://openalex.org/W6677828823","https://openalex.org/W6677899840","https://openalex.org/W6678131844","https://openalex.org/W6679115558","https://openalex.org/W6680163715","https://openalex.org/W6680941827","https://openalex.org/W6683181193","https://openalex.org/W6684067080","https://openalex.org/W6686103840","https://openalex.org/W6729303262","https://openalex.org/W6736509205","https://openalex.org/W6738073237","https://openalex.org/W6787972765","https://openalex.org/W6863928790"],"related_works":["https://openalex.org/W2900715739","https://openalex.org/W2289496068","https://openalex.org/W2043864454","https://openalex.org/W2547116720","https://openalex.org/W2188831877","https://openalex.org/W2157356416","https://openalex.org/W3125885229","https://openalex.org/W1483460610","https://openalex.org/W2828181497","https://openalex.org/W4287635664"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"a":[5,10,26,36,76,135,167,186,190],"novel":[6],"strategy":[7],"to":[8,15,43,56,73,82,121,201],"combine":[9,106],"set":[11],"of":[12,62,79,111,138,193],"compact":[13],"descriptors":[14,108],"leverage":[16],"an":[17,48,96],"associated":[18,67],"recognition":[19],"task.":[20],"We":[21,93],"formulate":[22],"the":[23,59,119,130,154],"problem":[24],"from":[25],"multiple":[27,107],"kernel":[28,158],"learning":[29],"(MKL)":[30],"perspective":[31],"and":[32,85,126,141,189,208,220],"solve":[33],"it":[34],"following":[35],"stochastic":[37],"variance":[38],"reduced":[39],"gradient":[40],"(SVRG)":[41],"approach":[42],"address":[44],"its":[45,66],"scalability,":[46],"currently":[47],"open":[49],"issue.":[50],"MKL":[51,97,203,222],"models":[52],"are":[53,71],"ideal":[54],"candidates":[55],"jointly":[57],"learn":[58],"optimal":[60],"combination":[61],"features":[63],"along":[64],"with":[65,99,134,153],"predictor.":[68],"However,":[69],"they":[70],"unable":[72],"scale":[74],"beyond":[75],"dozen":[77],"thousand":[78],"samples":[80],"due":[81],"high":[83],"computational":[84],"memory":[86,127],"requirements,":[87],"which":[88,164],"severely":[89],"limits":[90],"their":[91],"applicability.":[92],"propose":[94],"SVRG-MKL,":[95],"solution":[98,114],"inherent":[100],"scalability":[101],"properties":[102],"that":[103,156],"can":[104,198],"optimally":[105],"involving":[109],"millions":[110],"samples.":[112],"Our":[113,145,196],"takes":[115],"place":[116],"directly":[117],"in":[118,151,166,224],"primal":[120],"avoid":[122],"Gram":[123],"matrices":[124],"computation":[125],"allocation,":[128],"whereas":[129],"optimization":[131],"is":[132,159],"performed":[133],"proposed":[136],"algorithm":[137],"linear":[139],"complexity":[140],"hence":[142],"computationally":[143],"efficient.":[144],"proposition":[146],"builds":[147],"upon":[148],"recent":[149],"progress":[150],"SVRG":[152,173],"distinction":[155],"each":[157],"treated":[160],"differently":[161],"during":[162],"optimization,":[163],"results":[165],"faster":[168],"convergence":[169],"than":[170],"applying":[171],"off-the-shelf":[172],"into":[174],"MKL.":[175],"Extensive":[176],"experimental":[177],"validation":[178],"conducted":[179],"on":[180],"several":[181],"benchmarking":[182],"data":[183],"sets":[184],"confirms":[185],"higher":[187],"accuracy":[188],"significant":[191],"speedup":[192],"our":[194],"solution.":[195],"technique":[197],"be":[199],"extended":[200],"other":[202,214],"problems,":[204],"including":[205],"visual":[206],"search":[207],"transfer":[209],"learning,":[210],"as":[211,213,217],"well":[212],"formulations,":[215],"such":[216],"group-sensitive":[218],"(GMKL)":[219],"localized":[221],"(LMKL)":[223],"convex":[225],"settings.":[226]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
