{"id":"https://openalex.org/W2153017056","doi":"https://doi.org/10.1109/icassp.2004.1327227","title":"Parzen particle filters","display_name":"Parzen particle filters","publication_year":2004,"publication_date":"2004-09-28","ids":{"openalex":"https://openalex.org/W2153017056","doi":"https://doi.org/10.1109/icassp.2004.1327227","mag":"2153017056"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2004.1327227","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2004.1327227","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-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/A5089268324","display_name":"Tue Lehn-Schi\u00f8ler","orcid":null},"institutions":[{"id":"https://openalex.org/I96673099","display_name":"Technical University of Denmark","ror":"https://ror.org/04qtj9h94","country_code":"DK","type":"education","lineage":["https://openalex.org/I96673099"]}],"countries":["DK"],"is_corresponding":true,"raw_author_name":"T. Lehn-Schioler","raw_affiliation_strings":["ISP, Technical University of Denmark, Denmark"],"affiliations":[{"raw_affiliation_string":"ISP, Technical University of Denmark, Denmark","institution_ids":["https://openalex.org/I96673099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083261801","display_name":"Deniz Erdo\u011fmu\u015f","orcid":"https://orcid.org/0000-0002-1114-3539"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D. Erdogmus","raw_affiliation_strings":["University of Florida, USA"],"affiliations":[{"raw_affiliation_string":"University of Florida, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019504861","display_name":"Jos\u00e9 C. Pr\u0131\u0301ncipe","orcid":"https://orcid.org/0000-0002-3449-3531"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J.C. Principe","raw_affiliation_strings":["University of Florida, USA"],"affiliations":[{"raw_affiliation_string":"University of Florida, USA","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5089268324"],"corresponding_institution_ids":["https://openalex.org/I96673099"],"apc_list":null,"apc_paid":null,"fwci":2.2485,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.89727664,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"5","issue":null,"first_page":"V","last_page":"781"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9998999834060669,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9998999834060669,"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/T11220","display_name":"Water Systems and Optimization","score":0.9891999959945679,"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"}},{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/probability-density-function","display_name":"Probability density function","score":0.7797332406044006},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.7596743702888489},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.7415754795074463},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6943069100379944},{"id":"https://openalex.org/keywords/discretization","display_name":"Discretization","score":0.6241955161094666},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6084588766098022},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.5415838360786438},{"id":"https://openalex.org/keywords/variable-kernel-density-estimation","display_name":"Variable kernel density estimation","score":0.50250244140625},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.48991817235946655},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.47637102007865906},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.47079601883888245},{"id":"https://openalex.org/keywords/dirac-delta-function","display_name":"Dirac delta function","score":0.4667793810367584},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.41945332288742065},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.41796013712882996},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.37452057003974915},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.3039589524269104},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.2831050455570221},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.18883660435676575},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.15913483500480652},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15042632818222046},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.14914986491203308},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11394926905632019},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11090439558029175},{"id":"https://openalex.org/keywords/quantum-mechanics","display_name":"Quantum mechanics","score":0.0617406964302063}],"concepts":[{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.7797332406044006},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7596743702888489},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.7415754795074463},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6943069100379944},{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.6241955161094666},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6084588766098022},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.5415838360786438},{"id":"https://openalex.org/C195699287","wikidata":"https://www.wikidata.org/wiki/Q7915722","display_name":"Variable kernel density estimation","level":4,"score":0.50250244140625},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.48991817235946655},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.47637102007865906},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.47079601883888245},{"id":"https://openalex.org/C54486999","wikidata":"https://www.wikidata.org/wiki/Q209675","display_name":"Dirac delta function","level":2,"score":0.4667793810367584},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.41945332288742065},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.41796013712882996},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.37452057003974915},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.3039589524269104},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.2831050455570221},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.18883660435676575},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.15913483500480652},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15042632818222046},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.14914986491203308},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11394926905632019},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11090439558029175},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0617406964302063},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icassp.2004.1327227","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2004.1327227","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.432.7032","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.432.7032","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cnel.ufl.edu/files/1163622782.pdf","raw_type":"text"},{"id":"pmh:oai:pure.atira.dk:publications/d4b30a1a-6167-43fe-982a-0c85e7f4238f","is_oa":false,"landing_page_url":"https://orbit.dtu.dk/en/publications/d4b30a1a-6167-43fe-982a-0c85e7f4238f","pdf_url":null,"source":{"id":"https://openalex.org/S4306400705","display_name":"Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I96673099","host_organization_name":"Technical University of Denmark","host_organization_lineage":["https://openalex.org/I96673099"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Lehn-Schi\u00f8ler , T , Erdogmus , D & Principe , J C 2004 , Parzen Particle Filters . in ICASSP . pp. 781-784 . < http://www.imm.dtu.dk/pubdb/p.php?2870 >","raw_type":"contributionToPeriodical"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1483307070","https://openalex.org/W1585566614","https://openalex.org/W2020934227","https://openalex.org/W2048796971","https://openalex.org/W2098613108","https://openalex.org/W2099867508","https://openalex.org/W2115445963","https://openalex.org/W2118020555","https://openalex.org/W2122444778","https://openalex.org/W2124156864","https://openalex.org/W4205818646","https://openalex.org/W4240108704","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2369488729","https://openalex.org/W2355371556","https://openalex.org/W2104827669","https://openalex.org/W1528102763","https://openalex.org/W3212687977","https://openalex.org/W2375654472","https://openalex.org/W2161690219","https://openalex.org/W3162207007","https://openalex.org/W2920855166","https://openalex.org/W2087391746"],"abstract_inverted_index":{"Using":[0],"a":[1,13,26],"Parzen":[2],"density":[3,28,106],"estimator,":[4],"any":[5,59],"distribution":[6,36],"can":[7,77],"be":[8,78],"approximated":[9],"arbitrarily":[10],"close":[11],"by":[12,82],"sum":[14],"of":[15,86,97],"kernels.":[16],"In":[17,48],"particle":[18],"filtering,":[19],"this":[20,49],"fact":[21],"is":[22,37,103],"utilized":[23],"to":[24,42,53,61],"estimate":[25,107],"probability":[27],"function":[29,76],"with":[30,100],"Dirac":[31],"delta":[32],"kernels;":[33],"when":[34],"the":[35,55,63,74,84,105],"discretized":[38],"it":[39],"becomes":[40,108],"possible":[41],"solve":[43],"an":[44],"otherwise":[45],"intractable":[46],"integral.":[47],"work,":[50],"we":[51],"propose":[52],"extend":[54],"idea":[56],"and":[57],"use":[58],"kernel":[60],"approximate":[62],"distribution.":[64],"The":[65],"extra":[66],"work":[67],"involved":[68],"in":[69],"propagating":[70],"small":[71],"kernels":[72,87,99],"through":[73],"nonlinear":[75],"made":[79],"up":[80],"for":[81,90],"decreasing":[83],"number":[85],"needed,":[88],"especially":[89],"high":[91],"dimensional":[92],"problems.":[93],"A":[94],"further":[95],"advantage":[96],"using":[98],"nonzero":[101],"width":[102],"that":[104],"continuous.":[109]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}