{"id":"https://openalex.org/W2028870622","doi":"https://doi.org/10.1109/jproc.2012.2188013","title":"Recent Advances of Large-Scale Linear Classification","display_name":"Recent Advances of Large-Scale Linear Classification","publication_year":2012,"publication_date":"2012-04-11","ids":{"openalex":"https://openalex.org/W2028870622","doi":"https://doi.org/10.1109/jproc.2012.2188013","mag":"2028870622"},"language":"en","primary_location":{"id":"doi:10.1109/jproc.2012.2188013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jproc.2012.2188013","pdf_url":null,"source":{"id":"https://openalex.org/S68686220","display_name":"Proceedings of the IEEE","issn_l":"0018-9219","issn":["0018-9219","1558-2256"],"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":"Proceedings of the IEEE","raw_type":"journal-article"},"type":"article","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/A5108525217","display_name":"Guo-Xun Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Guo-Xun Yuan","raw_affiliation_strings":["Department of Computer Science, National Taiwan University, Taipei, Taiwan","University of California,\uc2a0Davis, Davis, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"University of California,\uc2a0Davis, Davis, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047359745","display_name":"Chia-Hua Ho","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chia-Hua Ho","raw_affiliation_strings":["Department of Computer Science, National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068223640","display_name":"Chih\u2010Jen Lin","orcid":"https://orcid.org/0000-0003-4684-8747"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih-Jen Lin","raw_affiliation_strings":["Department of Computer Science, National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5108525217"],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":null,"apc_paid":null,"fwci":23.5956,"has_fulltext":false,"cited_by_count":266,"citation_normalized_percentile":{"value":0.99642545,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"100","issue":"9","first_page":"2584","last_page":"2603"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9998000264167786,"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":0.9998000264167786,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9976999759674072,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6905394792556763},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6551828384399414},{"id":"https://openalex.org/keywords/linear-classifier","display_name":"Linear classifier","score":0.5856583118438721},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5666691660881042},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5654988884925842},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5632977485656738},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5235871076583862},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4349142909049988},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.429505318403244},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.422042578458786},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.3845471143722534},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38169413805007935},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19737735390663147},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08189389109611511}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6905394792556763},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6551828384399414},{"id":"https://openalex.org/C139532973","wikidata":"https://www.wikidata.org/wiki/Q2679259","display_name":"Linear classifier","level":3,"score":0.5856583118438721},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5666691660881042},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5654988884925842},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5632977485656738},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5235871076583862},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4349142909049988},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.429505318403244},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.422042578458786},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.3845471143722534},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38169413805007935},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19737735390663147},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08189389109611511},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/jproc.2012.2188013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jproc.2012.2188013","pdf_url":null,"source":{"id":"https://openalex.org/S68686220","display_name":"Proceedings of the IEEE","issn_l":"0018-9219","issn":["0018-9219","1558-2256"],"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":"Proceedings of the IEEE","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.307.8217","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.307.8217","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.csie.ntu.edu.tw/~cjlin/papers/survey-linear.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.643.693","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.643.693","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.csie.ntu.edu.tw/~cjlin/papers/survey-linear.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":194,"referenced_works":["https://openalex.org/W16591383","https://openalex.org/W43879690","https://openalex.org/W56897548","https://openalex.org/W175058090","https://openalex.org/W205960552","https://openalex.org/W324611197","https://openalex.org/W1491622225","https://openalex.org/W1495838813","https://openalex.org/W1506295250","https://openalex.org/W1535736950","https://openalex.org/W1536816303","https://openalex.org/W1576520375","https://openalex.org/W1598064945","https://openalex.org/W1604938182","https://openalex.org/W1621799579","https://openalex.org/W1792316426","https://openalex.org/W1857358525","https://openalex.org/W1965059296","https://openalex.org/W1969048569","https://openalex.org/W1970576786","https://openalex.org/W1978259121","https://openalex.org/W1979382551","https://openalex.org/W1982941867","https://openalex.org/W1983599491","https://openalex.org/W1994616650","https://openalex.org/W2001792610","https://openalex.org/W2004915807","https://openalex.org/W2009797711","https://openalex.org/W2013850411","https://openalex.org/W2027197817","https://openalex.org/W2030188598","https://openalex.org/W2031248101","https://openalex.org/W2035720976","https://openalex.org/W2037757210","https://openalex.org/W2041836310","https://openalex.org/W2045079045","https://openalex.org/W2051434435","https://openalex.org/W2054489011","https://openalex.org/W2056636001","https://openalex.org/W2065887373","https://openalex.org/W2069808690","https://openalex.org/W2070996757","https://openalex.org/W2087347434","https://openalex.org/W2091143818","https://openalex.org/W2091825929","https://openalex.org/W2095984592","https://openalex.org/W2096175520","https://openalex.org/W2096199223","https://openalex.org/W2097360283","https://openalex.org/W2097865464","https://openalex.org/W2098012923","https://openalex.org/W2099262739","https://openalex.org/W2100556411","https://openalex.org/W2101276256","https://openalex.org/W2102221597","https://openalex.org/W2102486516","https://openalex.org/W2102667697","https://openalex.org/W2105608756","https://openalex.org/W2105842272","https://openalex.org/W2107275319","https://openalex.org/W2107496976","https://openalex.org/W2108712612","https://openalex.org/W2109189215","https://openalex.org/W2109449402","https://openalex.org/W2112530506","https://openalex.org/W2112545207","https://openalex.org/W2114643899","https://openalex.org/W2115364117","https://openalex.org/W2115706991","https://openalex.org/W2116444583","https://openalex.org/W2117423367","https://openalex.org/W2117686388","https://openalex.org/W2117699623","https://openalex.org/W2118286367","https://openalex.org/W2118585731","https://openalex.org/W2119330196","https://openalex.org/W2119821739","https://openalex.org/W2119862467","https://openalex.org/W2122825543","https://openalex.org/W2124549482","https://openalex.org/W2125993116","https://openalex.org/W2126607811","https://openalex.org/W2127785841","https://openalex.org/W2128529555","https://openalex.org/W2129191766","https://openalex.org/W2129680346","https://openalex.org/W2130698119","https://openalex.org/W2132291180","https://openalex.org/W2133864802","https://openalex.org/W2135046866","https://openalex.org/W2135106139","https://openalex.org/W2137515395","https://openalex.org/W2137557016","https://openalex.org/W2138302120","https://openalex.org/W2139224857","https://openalex.org/W2139432235","https://openalex.org/W2140431670","https://openalex.org/W2142340904","https://openalex.org/W2142623206","https://openalex.org/W2143570267","https://openalex.org/W2145276325","https://openalex.org/W2146068631","https://openalex.org/W2146502635","https://openalex.org/W2147880316","https://openalex.org/W2148576472","https://openalex.org/W2148603752","https://openalex.org/W2150024778","https://openalex.org/W2153631847","https://openalex.org/W2153635508","https://openalex.org/W2156515921","https://openalex.org/W2157239837","https://openalex.org/W2157791002","https://openalex.org/W2160840682","https://openalex.org/W2160842254","https://openalex.org/W2162761269","https://openalex.org/W2164278908","https://openalex.org/W2164301055","https://openalex.org/W2164933608","https://openalex.org/W2165966284","https://openalex.org/W2166183437","https://openalex.org/W2166706236","https://openalex.org/W2166947501","https://openalex.org/W2167197286","https://openalex.org/W2168228682","https://openalex.org/W2169713291","https://openalex.org/W2170854749","https://openalex.org/W2172000360","https://openalex.org/W2173213060","https://openalex.org/W2181470043","https://openalex.org/W2219870755","https://openalex.org/W2282078507","https://openalex.org/W2399572917","https://openalex.org/W2406139069","https://openalex.org/W2492794003","https://openalex.org/W2596585349","https://openalex.org/W2597289420","https://openalex.org/W2604272474","https://openalex.org/W2612972698","https://openalex.org/W2616657226","https://openalex.org/W2736741670","https://openalex.org/W2882319491","https://openalex.org/W2912934387","https://openalex.org/W2920277907","https://openalex.org/W2949198759","https://openalex.org/W2990138404","https://openalex.org/W2999905431","https://openalex.org/W3001495003","https://openalex.org/W3004533406","https://openalex.org/W3006097074","https://openalex.org/W3007227167","https://openalex.org/W3012264151","https://openalex.org/W3014813097","https://openalex.org/W3017285694","https://openalex.org/W3022380717","https://openalex.org/W3023471860","https://openalex.org/W3098745759","https://openalex.org/W3123423968","https://openalex.org/W3163638146","https://openalex.org/W4212883601","https://openalex.org/W4239510810","https://openalex.org/W4251491512","https://openalex.org/W4255996415","https://openalex.org/W4285719527","https://openalex.org/W4292363360","https://openalex.org/W4294541781","https://openalex.org/W4301376094","https://openalex.org/W4388279027","https://openalex.org/W6601802881","https://openalex.org/W6608357910","https://openalex.org/W6629379589","https://openalex.org/W6638388375","https://openalex.org/W6674650171","https://openalex.org/W6675783020","https://openalex.org/W6675920320","https://openalex.org/W6675935253","https://openalex.org/W6677054210","https://openalex.org/W6677656871","https://openalex.org/W6680007464","https://openalex.org/W6680272842","https://openalex.org/W6680579697","https://openalex.org/W6680610060","https://openalex.org/W6680748266","https://openalex.org/W6681363145","https://openalex.org/W6681435938","https://openalex.org/W6682082992","https://openalex.org/W6682133467","https://openalex.org/W6682227985","https://openalex.org/W6682953061","https://openalex.org/W6683855808","https://openalex.org/W6683945318","https://openalex.org/W6684978006","https://openalex.org/W6689255455","https://openalex.org/W6713749148","https://openalex.org/W6741430965"],"related_works":["https://openalex.org/W2052015438","https://openalex.org/W2089892314","https://openalex.org/W1603091392","https://openalex.org/W4386075310","https://openalex.org/W2095626363","https://openalex.org/W2537433326","https://openalex.org/W2143867687","https://openalex.org/W2169565408","https://openalex.org/W2127229869","https://openalex.org/W3123056048"],"abstract_inverted_index":{"Linear":[0],"classification":[1],"is":[2,47],"a":[3,16,75],"useful":[4],"tool":[5],"in":[6,15],"machine":[7],"learning":[8],"and":[9,44,63],"data":[10,14],"mining.":[11],"For":[12],"some":[13,67],"rich":[17],"dimensional":[18],"space,":[19],"the":[20,79],"performance":[21],"(i.e.,":[22],"testing":[23,45],"accuracy)":[24],"of":[25,35,82],"linear":[26,61],"classifiers":[27,37,62],"has":[28],"shown":[29],"to":[30,33,59,66],"be":[31],"close":[32],"that":[34],"nonlinear":[36],"such":[38],"as":[39],"kernel":[40],"methods,":[41],"but":[42],"training":[43],"speed":[46],"much":[48],"faster.":[49],"Recently,":[50],"many":[51],"research":[52,85],"works":[53],"have":[54],"developed":[55],"efficient":[56],"optimization":[57],"methods":[58],"construct":[60],"applied":[64],"them":[65],"large-scale":[68],"applications.":[69],"In":[70],"this":[71,83],"paper,":[72],"we":[73],"give":[74],"comprehensive":[76],"survey":[77],"on":[78],"recent":[80],"development":[81],"active":[84],"area.":[86]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":16},{"year":2019,"cited_by_count":19},{"year":2018,"cited_by_count":32},{"year":2017,"cited_by_count":30},{"year":2016,"cited_by_count":25},{"year":2015,"cited_by_count":29},{"year":2014,"cited_by_count":28},{"year":2013,"cited_by_count":18},{"year":2012,"cited_by_count":10}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}