{"id":"https://openalex.org/W2406546588","doi":"https://doi.org/10.32657/10356/61755","title":"Learning with multiple kernels : algorithms and applications","display_name":"Learning with multiple kernels : algorithms and applications","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2406546588","doi":"https://doi.org/10.32657/10356/61755","mag":"2406546588"},"language":"en","primary_location":{"id":"doi:10.32657/10356/61755","is_oa":true,"landing_page_url":"https://doi.org/10.32657/10356/61755","pdf_url":"https://dr.ntu.edu.sg/bitstream/10356/61755/1/PpMain.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Nanyang Technological University","raw_type":"dissertation"},"type":"dissertation","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dr.ntu.edu.sg/bitstream/10356/61755/1/PpMain.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069314444","display_name":"Xiao Hao","orcid":"https://orcid.org/0000-0002-5727-8666"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xiao Hao","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5069314444"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.998199999332428,"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":0.998199999332428,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9972000122070312,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9966999888420105,"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/computer-science","display_name":"Computer science","score":0.5563240051269531},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42912375926971436},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34821775555610657},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34244781732559204}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5563240051269531},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42912375926971436},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34821775555610657},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34244781732559204}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.32657/10356/61755","is_oa":true,"landing_page_url":"https://doi.org/10.32657/10356/61755","pdf_url":"https://dr.ntu.edu.sg/bitstream/10356/61755/1/PpMain.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Nanyang Technological University","raw_type":"dissertation"},{"id":"pmh:oai:dr.ntu.edu.sg:10356/61755","is_oa":false,"landing_page_url":"https://hdl.handle.net/10356/61755","pdf_url":null,"source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"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":"Thesis"},{"id":"pmh:oai:uilis.unsyiah.ac.id:21176","is_oa":false,"landing_page_url":"http://uilis.unsyiah.ac.id/opentheses/items/show/21176","pdf_url":null,"source":{"id":"https://openalex.org/S4377196378","display_name":"UPT. Syiah Kuala University Library (Syiah Kuala University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I187494767","host_organization_name":"Universitas Syiah Kuala","host_organization_lineage":["https://openalex.org/I187494767"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis"}],"best_oa_location":{"id":"doi:10.32657/10356/61755","is_oa":true,"landing_page_url":"https://doi.org/10.32657/10356/61755","pdf_url":"https://dr.ntu.edu.sg/bitstream/10356/61755/1/PpMain.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Nanyang Technological University","raw_type":"dissertation"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320766","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2406546588.pdf","grobid_xml":"https://content.openalex.org/works/W2406546588.grobid-xml"},"referenced_works_count":200,"referenced_works":["https://openalex.org/W26557874","https://openalex.org/W53387266","https://openalex.org/W71452225","https://openalex.org/W158455794","https://openalex.org/W1484147505","https://openalex.org/W1485562657","https://openalex.org/W1492107889","https://openalex.org/W1502916507","https://openalex.org/W1510073064","https://openalex.org/W1511160855","https://openalex.org/W1518544712","https://openalex.org/W1532499126","https://openalex.org/W1537838346","https://openalex.org/W1540155273","https://openalex.org/W1554944419","https://openalex.org/W1556531089","https://openalex.org/W1575060531","https://openalex.org/W1576445103","https://openalex.org/W1580166843","https://openalex.org/W1582548030","https://openalex.org/W1585011729","https://openalex.org/W1587559447","https://openalex.org/W1588635063","https://openalex.org/W1602916555","https://openalex.org/W1646506067","https://openalex.org/W1687216981","https://openalex.org/W1812752171","https://openalex.org/W1835419070","https://openalex.org/W1835509607","https://openalex.org/W1914219707","https://openalex.org/W1915109052","https://openalex.org/W1944448017","https://openalex.org/W1964514974","https://openalex.org/W1967797949","https://openalex.org/W1967972920","https://openalex.org/W1969241115","https://openalex.org/W1970940244","https://openalex.org/W1971402309","https://openalex.org/W1982193706","https://openalex.org/W1984707692","https://openalex.org/W1987040325","https://openalex.org/W1987859285","https://openalex.org/W1997221694","https://openalex.org/W1997254627","https://openalex.org/W1997750524","https://openalex.org/W1999693420","https://openalex.org/W2002505231","https://openalex.org/W2004001705","https://openalex.org/W2007273639","https://openalex.org/W2007610503","https://openalex.org/W2013502943","https://openalex.org/W2018749988","https://openalex.org/W2022772671","https://openalex.org/W2024430963","https://openalex.org/W2026309945","https://openalex.org/W2031823405","https://openalex.org/W2035754407","https://openalex.org/W2043182541","https://openalex.org/W2044195942","https://openalex.org/W2046862341","https://openalex.org/W2048896634","https://openalex.org/W2049644877","https://openalex.org/W2056277442","https://openalex.org/W2061440586","https://openalex.org/W2061845601","https://openalex.org/W2064399342","https://openalex.org/W2066995518","https://openalex.org/W2067952552","https://openalex.org/W2080928936","https://openalex.org/W2081549451","https://openalex.org/W2087257760","https://openalex.org/W2092483655","https://openalex.org/W2093949429","https://openalex.org/W2095780288","https://openalex.org/W2095847652","https://openalex.org/W2096032893","https://openalex.org/W2096422609","https://openalex.org/W2097329790","https://openalex.org/W2097921974","https://openalex.org/W2098957565","https://openalex.org/W2099862356","https://openalex.org/W2100799972","https://openalex.org/W2101498401","https://openalex.org/W2102113639","https://openalex.org/W2102663010","https://openalex.org/W2104208555","https://openalex.org/W2104752854","https://openalex.org/W2106053110","https://openalex.org/W2106318383","https://openalex.org/W2106503792","https://openalex.org/W2108588392","https://openalex.org/W2108745717","https://openalex.org/W2108995755","https://openalex.org/W2109743529","https://openalex.org/W2111110737","https://openalex.org/W2112081648","https://openalex.org/W2113082015","https://openalex.org/W2113592823","https://openalex.org/W2114229504","https://openalex.org/W2115467367","https://openalex.org/W2115694019","https://openalex.org/W2116589987","https://openalex.org/W2117154949","https://openalex.org/W2117866949","https://openalex.org/W2118509786","https://openalex.org/W2118670840","https://openalex.org/W2120137102","https://openalex.org/W2120149881","https://openalex.org/W2122808326","https://openalex.org/W2123068691","https://openalex.org/W2123783118","https://openalex.org/W2123893147","https://openalex.org/W2125378448","https://openalex.org/W2126059337","https://openalex.org/W2127069950","https://openalex.org/W2127343225","https://openalex.org/W2127921742","https://openalex.org/W2127949964","https://openalex.org/W2128036349","https://openalex.org/W2128989803","https://openalex.org/W2129156852","https://openalex.org/W2130556178","https://openalex.org/W2130660124","https://openalex.org/W2130910507","https://openalex.org/W2131154631","https://openalex.org/W2132820034","https://openalex.org/W2133126147","https://openalex.org/W2135974317","https://openalex.org/W2137055149","https://openalex.org/W2137736727","https://openalex.org/W2138079527","https://openalex.org/W2140095548","https://openalex.org/W2141362318","https://openalex.org/W2144299089","https://openalex.org/W2144679311","https://openalex.org/W2145295623","https://openalex.org/W2146142293","https://openalex.org/W2148603752","https://openalex.org/W2148980227","https://openalex.org/W2150491921","https://openalex.org/W2150772522","https://openalex.org/W2150796457","https://openalex.org/W2151483828","https://openalex.org/W2151766597","https://openalex.org/W2152010828","https://openalex.org/W2153807453","https://openalex.org/W2154462399","https://openalex.org/W2155502235","https://openalex.org/W2156505030","https://openalex.org/W2158602558","https://openalex.org/W2159583439","https://openalex.org/W2160218441","https://openalex.org/W2160359047","https://openalex.org/W2160540263","https://openalex.org/W2161231759","https://openalex.org/W2161592627","https://openalex.org/W2162006472","https://openalex.org/W2162657934","https://openalex.org/W2162867699","https://openalex.org/W2162881463","https://openalex.org/W2163771264","https://openalex.org/W2164031334","https://openalex.org/W2164535072","https://openalex.org/W2165558283","https://openalex.org/W2168605133","https://openalex.org/W2168879014","https://openalex.org/W2169278871","https://openalex.org/W2169439425","https://openalex.org/W2169495281","https://openalex.org/W2170037597","https://openalex.org/W2171033594","https://openalex.org/W2171790913","https://openalex.org/W2171812110","https://openalex.org/W2176528885","https://openalex.org/W2177769495","https://openalex.org/W2397624785","https://openalex.org/W2400504539","https://openalex.org/W2538008885","https://openalex.org/W2610681481","https://openalex.org/W2783839609","https://openalex.org/W2910198086","https://openalex.org/W2949658187","https://openalex.org/W2950597526","https://openalex.org/W2951983873","https://openalex.org/W2999575747","https://openalex.org/W3009009611","https://openalex.org/W3101749733","https://openalex.org/W3120421331","https://openalex.org/W3215393340","https://openalex.org/W4230940751","https://openalex.org/W4237065586","https://openalex.org/W4239510810","https://openalex.org/W4241361942","https://openalex.org/W4246066915","https://openalex.org/W4250737575","https://openalex.org/W4313169793","https://openalex.org/W6629956336","https://openalex.org/W6634343353","https://openalex.org/W6682193038","https://openalex.org/W6683403342"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Multiple":[0,122,479],"kernel":[1,15,201,367,590],"learning":[2,9,12,61,78,88,106,159,202,280,461,467,483,513,530,592,595,607],"(MKL)":[3],"is":[4,265,321,350,382,425,614],"a":[5,22,55,72,118,196,212,243,296,322,378,410,476,487,506,624],"family":[6,73,546],"of":[7,34,60,74,97,121,133,158,163,174,199,214,233,245,309,316,412,420,431,508,547,554,557,572,626],"machine":[8],"techniques":[10,110,135,284,465,640],"by":[11,313,365],"with":[13,62,79,107,140,281,377,462,492],"multiple":[14,36,43,63,80,108,141,200,282,317,394,463,493,579],"functions/matrices.":[16],"It":[17],"has":[18,70,357],"been":[19,358],"demonstrated":[20],"as":[21,154],"promising":[23],"technique":[24,620],"for":[25,31,38,50,65,77,111,126,143,203,285,325,341,369,438,466,594,621],"solving":[26,219],"many":[27],"real-world":[28,386],"applications,":[29,388],"especially":[30],"its":[32],"power":[33],"exploiting":[35,366],"kernels":[37,64,81,109,142,165,283,464,494],"fusing":[39],"diverse":[40],"information":[41],"from":[42,186,393,578],"sources.":[44],"Beyond":[45],"the":[46,94,98,131,152,160,187,220,226,262,271,306,351,429,449,453,540,545,569,602,611,618,638],"traditional":[47],"MKL":[48,148,189,215,253,273],"studies":[49,509],"classification,":[51,84],"this":[52,115,192,293,585],"thesis":[53,69,116,294,474,586],"investigates":[54,587],"more":[56,266],"general":[57],"research":[58],"problem":[59,153],"different":[66,402],"applications.":[67,562],"Specifically,":[68,114,292],"proposed":[71,99,227,263,340,426,450,619],"novel":[75,105,119,279,460,477],"algorithms":[76,235,254,339],"to":[82,103,136,182,210,250,277,360,417,427,458,495,514],"tackle":[83],"hashing":[85,286,311],"and":[86,166,236,268],"similarity":[87,290,342,368,468,498,517,556,570,591],"tasks,":[89,128,205],"respectively.":[90],"The":[91],"following":[92],"gives":[93],"main":[95],"contributions":[96],"techniques.\\n\\nFirstly,":[100],"we":[101,194,207,229,275,456],"aim":[102,276,457],"investigate":[104,195,278,459],"classification":[112,127,145,204,256],"tasks.":[113,223,257],"presents":[117],"framework":[120,198,593],"Kernel":[123,480],"Boosting":[124,297],"(MKBoost)":[125],"which":[129,168,217,355,381,444,485,550,599,631],"applies":[130],"idea":[132],"boosting":[134,197,209],"learn":[137],"kernel-based":[138,596],"classifiers":[139],"resolving":[144],"problems.":[146],"Conventional":[147],"methods":[149,312,526],"often":[150,180,383,565],"formulate":[151],"an":[155,421,588],"optimization":[156,176,222],"task":[157],"optimal":[161],"combinations":[162],"both":[164],"classifiers,":[167],"usually":[169,332,538],"results":[170,259,446,633],"in":[171,191,248,288,334,344,385,400,406,443,470,500,519,533,560,630],"some":[172],"forms":[173],"challenging":[175],"tasks":[177,287],"that":[178,261,303,448,575,635],"are":[179,331,531],"difficult":[181],"be":[183,398,415],"solved.":[184],"Different":[185],"existing":[188,272,310,525],"methods,":[190],"thesis,":[193],"i.e.,":[206],"adopt":[208],"solve":[211],"variant":[213],"problem,":[216],"avoids":[218],"complicated":[221],"Based":[224,609],"on":[225,242,255,510,527,610,623],"framework,":[228,612],"propose":[230],"several":[231,401],"variants":[232],"MKBoost":[234],"extensively":[237],"examine":[238],"their":[239,522,552],"empirical":[240],"performance":[241,308],"number":[244,507],"benchmark":[246],"datasets":[247],"comparisons":[249],"various":[251,338],"state-of-the-art":[252,454,639],"Experimental":[258],"show":[260,447,634],"method":[264,451],"effective":[267],"efficient":[269],"than":[270],"techniques.\\n\\nSecondly,":[274],"multimedia":[289,326,387,408,471],"search.":[291],"proposes":[295,475],"Multi-Kernel":[298],"Locality-Sensitive":[299,347,362],"Hashing":[300,348,363],"(BMKLSH)":[301],"scheme":[302],"significantly":[304],"boosts":[305],"retrieval":[307,327,371],"making":[314],"use":[315],"kernels.":[318],"Similarity":[319,481],"search":[320,343,499,518],"key":[323],"challenge":[324],"applications":[328],"where":[329,389],"data":[330,390,574,628],"represented":[333,399],"high-dimensional":[335,345],"space.":[336],"Among":[337],"space,":[346],"(LSH)":[349],"most":[352,524],"popular":[353],"one,":[354],"recently":[356],"extended":[359],"Kernelized":[361],"(KLSH)":[364],"better":[370],"efficacy.":[372],"Typically,":[373],"KLSH":[374],"works":[375],"only":[376],"single":[379],"kernel,":[380],"limited":[384,532],"may":[391,576],"originate":[392,577],"resources":[395],"or":[396],"can":[397,414],"forms.":[403],"For":[404],"example,":[405],"content-based":[407,440],"retrieval,":[409,442],"variety":[411,625],"features":[413],"extracted":[416],"represent":[418],"contents":[419],"image.":[422],"So":[423],"BMKLSH":[424],"overcome":[428,582],"limitation":[430],"regular":[432],"KLSH.":[433],"We":[434,616],"conduct":[435],"extensive":[436],"experiments":[437],"large-scale":[439],"image":[441,627],"encouraging":[445,632],"outperforms":[452,637],"techniques.\\n\\nFinally,":[455],"functions":[469],"retrieval.":[472],"This":[473],"Online":[478],"(OMKS)":[482],"method,":[484],"learns":[486],"flexible":[488],"nonlinear":[489],"proximity":[490,542,597],"function":[491,543],"improve":[496,515],"visual":[497,516],"CBIR.":[501,520],"Recent":[502],"years":[503],"have":[504],"witnessed":[505],"distance":[511,528,605],"metric":[512,529,606],"Despite":[521],"successes,":[523],"two":[534],"aspects.":[535],"First,":[536],"they":[537,564],"assume":[539],"target":[541],"follows":[544],"Mahalanobis":[548],"distances,":[549],"limits":[551],"capacity":[553],"measuring":[555],"complex":[558],"patterns":[559],"real":[561],"Second,":[563],"cannot":[566],"effectively":[567],"handle":[568],"measure":[571],"multi-modal":[573],"resources.":[580],"To":[581],"these":[583],"limitations,":[584],"online":[589],"functions,":[598],"goes":[600],"beyond":[601],"conventional":[603],"linear":[604],"approaches.":[608],"OMKS":[613,636],"proposed.":[615],"evaluate":[617],"CBIR":[622],"sets,":[629],"significantly.":[641]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}