{"id":"https://openalex.org/W2040975855","doi":"https://doi.org/10.1109/camsap.2013.6714080","title":"Particle filtering for high-dimensional systems","display_name":"Particle filtering for high-dimensional systems","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W2040975855","doi":"https://doi.org/10.1109/camsap.2013.6714080","mag":"2040975855"},"language":"en","primary_location":{"id":"doi:10.1109/camsap.2013.6714080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/camsap.2013.6714080","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","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/A5006962534","display_name":"Petar M. Djuri\u0107","orcid":"https://orcid.org/0000-0001-7791-3199"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Petar M. Djuric","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY","Dept. of Electr. & Comput. Eng., Stony Brook Univ., Stony Brook, NY, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY","institution_ids":["https://openalex.org/I59553526"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Stony Brook Univ., Stony Brook, NY, USA#TAB#","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058778434","display_name":"M\u00f3nica F. Bugallo","orcid":"https://orcid.org/0000-0003-2963-1474"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Monica F. Bugallo","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY","Dept. of Electr. & Comput. Eng., Stony Brook Univ., Stony Brook, NY, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY","institution_ids":["https://openalex.org/I59553526"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Stony Brook Univ., Stony Brook, NY, USA#TAB#","institution_ids":["https://openalex.org/I59553526"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006962534"],"corresponding_institution_ids":["https://openalex.org/I59553526"],"apc_list":null,"apc_paid":null,"fwci":6.7326,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.9652762,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"352","last_page":"355"},"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":0.9986000061035156,"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":0.9986000061035156,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9514999985694885,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9293000102043152,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/particle-filter","display_name":"Particle filter","score":0.8309563994407654},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6786433458328247},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6666833162307739},{"id":"https://openalex.org/keywords/high-dimensional","display_name":"High dimensional","score":0.5922191739082336},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.5829775333404541},{"id":"https://openalex.org/keywords/particle","display_name":"Particle (ecology)","score":0.5699084997177124},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.480549156665802},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.4738728702068329},{"id":"https://openalex.org/keywords/track","display_name":"Track (disk drive)","score":0.4654458463191986},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4273778200149536},{"id":"https://openalex.org/keywords/particle-system","display_name":"Particle system","score":0.41111618280410767},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.3999015688896179},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27622929215431213},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.2545364797115326},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1928744912147522},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12870866060256958},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.12187573313713074},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1151038110256195},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.08781379461288452},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.08415263891220093}],"concepts":[{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.8309563994407654},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6786433458328247},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6666833162307739},{"id":"https://openalex.org/C3019722297","wikidata":"https://www.wikidata.org/wiki/Q4440864","display_name":"High dimensional","level":2,"score":0.5922191739082336},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5829775333404541},{"id":"https://openalex.org/C2778517922","wikidata":"https://www.wikidata.org/wiki/Q7140482","display_name":"Particle (ecology)","level":2,"score":0.5699084997177124},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.480549156665802},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.4738728702068329},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.4654458463191986},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4273778200149536},{"id":"https://openalex.org/C179003449","wikidata":"https://www.wikidata.org/wiki/Q1757458","display_name":"Particle system","level":2,"score":0.41111618280410767},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.3999015688896179},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27622929215431213},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.2545364797115326},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1928744912147522},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12870866060256958},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.12187573313713074},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1151038110256195},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.08781379461288452},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.08415263891220093},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/camsap.2013.6714080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/camsap.2013.6714080","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1533614607","https://openalex.org/W1628268552","https://openalex.org/W1982647830","https://openalex.org/W1988435521","https://openalex.org/W1994096034","https://openalex.org/W2001250891","https://openalex.org/W2011416991","https://openalex.org/W2076538312","https://openalex.org/W2111787305","https://openalex.org/W2113767669","https://openalex.org/W2129717727","https://openalex.org/W2138382705","https://openalex.org/W2146626950","https://openalex.org/W2150375101","https://openalex.org/W2171191044","https://openalex.org/W2174784159","https://openalex.org/W2294875987","https://openalex.org/W4255133955","https://openalex.org/W6632023624","https://openalex.org/W6647633009","https://openalex.org/W6653554333","https://openalex.org/W6676780147"],"related_works":["https://openalex.org/W2789518417","https://openalex.org/W4213217485","https://openalex.org/W2566545183","https://openalex.org/W2499449816","https://openalex.org/W2059085722","https://openalex.org/W4210856988","https://openalex.org/W238145802","https://openalex.org/W2015530857","https://openalex.org/W2946721565","https://openalex.org/W2801976440"],"abstract_inverted_index":{"Particle":[0],"filtering":[1,46],"methods":[2,18],"aim":[3],"at":[4],"tracking":[5],"probability":[6],"distributions":[7,77,83],"sequentially":[8],"in":[9,22,84],"time.":[10],"One":[11],"of":[12,16,35,69],"the":[13,33,41,66,70,94],"main":[14],"challenges":[15],"these":[17,36,82],"is":[19,62],"their":[20],"accuracy":[21],"high-dimensional":[23,67],"state":[24,72],"spaces.":[25],"Namely,":[26],"it":[27],"can":[28],"be":[29],"shown":[30],"that":[31],"if":[32],"dimensions":[34],"spaces":[37],"are":[38,47],"sufficiently":[39],"high,":[40],"obtained":[42],"results":[43],"by":[44],"particle":[45],"practically":[48],"useless.":[49],"In":[50],"this":[51,59],"paper,":[52],"we":[53],"propose":[54],"an":[55],"approach":[56,96],"for":[57],"addressing":[58],"problem.":[60],"It":[61],"based":[63],"on":[64],"breaking":[65],"distribution":[68],"complete":[71],"into":[73],"smaller":[74],"dimensional":[75],"(marginalized)":[76],"and":[78],"attempting":[79],"to":[80],"track":[81],"a":[85],"novel":[86],"way":[87],"as":[88,90],"accurately":[89],"possible.":[91],"We":[92],"demonstrate":[93],"proposed":[95],"with":[97],"computer":[98],"simulations.":[99]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":10},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
