{"id":"https://openalex.org/W1996183517","doi":"https://doi.org/10.1109/tcyb.2013.2255983","title":"Online Discriminative Kernel Density Estimator With Gaussian Kernels","display_name":"Online Discriminative Kernel Density Estimator With Gaussian Kernels","publication_year":2013,"publication_date":"2013-04-29","ids":{"openalex":"https://openalex.org/W1996183517","doi":"https://doi.org/10.1109/tcyb.2013.2255983","mag":"1996183517","pmid":"https://pubmed.ncbi.nlm.nih.gov/23757555"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2013.2255983","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2013.2255983","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/A5001632955","display_name":"Matej Kristan","orcid":"https://orcid.org/0000-0002-4252-4342"},"institutions":[{"id":"https://openalex.org/I153976015","display_name":"University of Ljubljana","ror":"https://ror.org/05njb9z20","country_code":"SI","type":"education","lineage":["https://openalex.org/I153976015"]}],"countries":["SI"],"is_corresponding":true,"raw_author_name":"Matej Kristan","raw_affiliation_strings":["Faculty of Computer and Information Science and the Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia","Fac. of Comput. & Inf. Sci, Univ. of Ljubljana, Ljubljana, Slovenia"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer and Information Science and the Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I153976015"]},{"raw_affiliation_string":"Fac. of Comput. & Inf. Sci, Univ. of Ljubljana, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I153976015"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085971943","display_name":"Ale\u0161 Leonardis","orcid":"https://orcid.org/0000-0003-0773-3277"},"institutions":[{"id":"https://openalex.org/I153976015","display_name":"University of Ljubljana","ror":"https://ror.org/05njb9z20","country_code":"SI","type":"education","lineage":["https://openalex.org/I153976015"]},{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]}],"countries":["GB","SI"],"is_corresponding":false,"raw_author_name":"Ales Leonardis","raw_affiliation_strings":["Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia","School of Computer Science, University of Birmingham, Birmingham, UK"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I153976015"]},{"raw_affiliation_string":"School of Computer Science, University of Birmingham, Birmingham, UK","institution_ids":["https://openalex.org/I79619799"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5001632955"],"corresponding_institution_ids":["https://openalex.org/I153976015"],"apc_list":null,"apc_paid":null,"fwci":6.2519,"has_fulltext":false,"cited_by_count":49,"citation_normalized_percentile":{"value":0.96121522,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"44","issue":"3","first_page":"355","last_page":"365"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9957000017166138,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9957000017166138,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11220","display_name":"Water Systems and Optimization","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"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/discriminative-model","display_name":"Discriminative model","score":0.8557289838790894},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.7085646390914917},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6087941527366638},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5789022445678711},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5622109770774841},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.5621849298477173},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5365277528762817},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.49921345710754395},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4883686900138855},{"id":"https://openalex.org/keywords/density-estimation","display_name":"Density estimation","score":0.4437781572341919},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.411590039730072},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34885525703430176},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16041186451911926}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8557289838790894},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.7085646390914917},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6087941527366638},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5789022445678711},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5622109770774841},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.5621849298477173},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5365277528762817},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.49921345710754395},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4883686900138855},{"id":"https://openalex.org/C189508267","wikidata":"https://www.wikidata.org/wiki/Q17088227","display_name":"Density estimation","level":3,"score":0.4437781572341919},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.411590039730072},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34885525703430176},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16041186451911926},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tcyb.2013.2255983","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2013.2255983","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:23757555","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/23757555","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":null},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/6f0d1c84-079f-4c53-900a-419e46d092ff","is_oa":false,"landing_page_url":"https://research.birmingham.ac.uk/en/publications/6f0d1c84-079f-4c53-900a-419e46d092ff","pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Kristan, M & Leonardis, A 2014, 'Online discriminative kernel density estimator with Gaussian kernels', IEEE Transactions on Cybernetics, vol. 44, no. 3, pp. 355-365. https://doi.org/10.1109/TCYB.2013.2255983","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7200000286102295,"display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322554","display_name":"Javna Agencija za Raziskovalno Dejavnost RS","ror":"https://ror.org/059bp8k51"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1531532259","https://openalex.org/W1549707591","https://openalex.org/W1563088657","https://openalex.org/W1579271636","https://openalex.org/W1986651439","https://openalex.org/W1987894891","https://openalex.org/W1989682464","https://openalex.org/W1991422884","https://openalex.org/W1993681779","https://openalex.org/W1995802246","https://openalex.org/W2002127300","https://openalex.org/W2003407374","https://openalex.org/W2004216344","https://openalex.org/W2005901758","https://openalex.org/W2015245929","https://openalex.org/W2020303016","https://openalex.org/W2053617237","https://openalex.org/W2056552633","https://openalex.org/W2059981627","https://openalex.org/W2076785055","https://openalex.org/W2080332760","https://openalex.org/W2089643338","https://openalex.org/W2093584883","https://openalex.org/W2115609520","https://openalex.org/W2118020555","https://openalex.org/W2120211304","https://openalex.org/W2127358663","https://openalex.org/W2139362127","https://openalex.org/W2139957545","https://openalex.org/W2148831798","https://openalex.org/W2152565110","https://openalex.org/W2153635508","https://openalex.org/W2160586919","https://openalex.org/W2161366100","https://openalex.org/W2164012765","https://openalex.org/W2169089578","https://openalex.org/W2172155927","https://openalex.org/W2488678869","https://openalex.org/W2595697910","https://openalex.org/W2999905431","https://openalex.org/W3120421331","https://openalex.org/W3120740533","https://openalex.org/W3122936144","https://openalex.org/W4238717354","https://openalex.org/W4300998111","https://openalex.org/W6651782317"],"related_works":["https://openalex.org/W2146591867","https://openalex.org/W1482149696","https://openalex.org/W2583877436","https://openalex.org/W2465871978","https://openalex.org/W2351755528","https://openalex.org/W2144201579","https://openalex.org/W1528102763","https://openalex.org/W2585385340","https://openalex.org/W1569550976","https://openalex.org/W4297926828"],"abstract_inverted_index":{"We":[0,53,71,120,132],"propose":[1,72],"a":[2,6,24,73],"new":[3,74],"method":[4,18,124],"for":[5,14],"supervised":[7],"online":[8,48,126,171],"estimation":[9],"of":[10,26,31,39,57,80,105,163,179],"probabilistic":[11],"discriminative":[12,95,127],"models":[13,34,91,178],"classification":[15,159],"tasks.":[16],"The":[17,36,97,155],"estimates":[19],"the":[20,29,40,45,55,60,65,87,103,116,122,125,134,151,183],"class":[21],"distributions":[22,41],"from":[23,67,173],"stream":[25],"data":[27],"in":[28,59],"form":[30],"Gaussian":[32],"mixture":[33],"(GMMs).":[35],"reconstructive":[37],"updates":[38,102],"are":[42],"based":[43],"on":[44,150],"recently":[46],"proposed":[47,117,123],"kernel":[49,128,140],"density":[50,129,141],"estimator":[51,130],"(oKDE).":[52],"maintain":[54],"number":[56],"components":[58],"model":[61],"low":[62],"by":[63],"compressing":[64],"GMMs":[66,110],"time":[68],"to":[69,136,161],"time.":[70],"cost":[75,118],"function":[76],"that":[77,92,162],"measures":[78],"loss":[79],"interclass":[81],"discrimination":[82],"during":[83,112],"compression,":[84],"thus":[85,100],"guiding":[86],"compression":[88,114],"toward":[89],"simpler":[90],"still":[93],"retain":[94],"properties.":[96],"resulting":[98],"classifier":[99],"independently":[101],"GMM":[104],"each":[106],"class,":[107],"but":[108],"these":[109],"interact":[111],"their":[113],"through":[115],"function.":[119],"call":[121],"(odKDE).":[131],"compare":[133],"odKDE":[135,156],"oKDE,":[137],"batch":[138,165],"state-of-the-art":[139],"estimators":[142],"(KDEs),":[143],"and":[144,167,176],"batch/incremental":[145],"support":[146],"vector":[147],"machines":[148],"(SVM)":[149],"publicly":[152],"available":[153],"datasets.":[154],"achieves":[157],"comparable":[158],"performance":[160],"best":[164],"KDEs":[166],"SVM,":[168],"while":[169],"allowing":[170],"adaptation":[172],"large":[174],"datasets,":[175],"produces":[177],"lower":[180],"complexity":[181],"than":[182],"oKDE.":[184]},"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":2},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
