{"id":"https://openalex.org/W2062237071","doi":"https://doi.org/10.1109/ssp.2014.6884592","title":"Gaussian particle filtering in high-dimensional systems","display_name":"Gaussian particle filtering in high-dimensional systems","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W2062237071","doi":"https://doi.org/10.1109/ssp.2014.6884592","mag":"2062237071"},"language":"en","primary_location":{"id":"doi:10.1109/ssp.2014.6884592","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp.2014.6884592","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Workshop on Statistical Signal Processing (SSP)","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/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":true,"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"]}]},{"author_position":"last","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":false,"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"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5058778434"],"corresponding_institution_ids":["https://openalex.org/I59553526"],"apc_list":null,"apc_paid":null,"fwci":2.4541,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.9081421,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"129","last_page":"132"},"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":0.9969000220298767,"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":0.9969000220298767,"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":0.9896000027656555,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9843999743461609,"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/gaussian","display_name":"Gaussian","score":0.8299654722213745},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.7694483995437622},{"id":"https://openalex.org/keywords/particle-system","display_name":"Particle system","score":0.6365159749984741},{"id":"https://openalex.org/keywords/particle","display_name":"Particle (ecology)","score":0.6174565553665161},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5916718244552612},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.503492534160614},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.4763346314430237},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.44364774227142334},{"id":"https://openalex.org/keywords/gaussian-function","display_name":"Gaussian function","score":0.412733793258667},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37325137853622437},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3049699664115906},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.16829314827919006},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.1425565779209137},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.07102692127227783}],"concepts":[{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.8299654722213745},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.7694483995437622},{"id":"https://openalex.org/C179003449","wikidata":"https://www.wikidata.org/wiki/Q1757458","display_name":"Particle system","level":2,"score":0.6365159749984741},{"id":"https://openalex.org/C2778517922","wikidata":"https://www.wikidata.org/wiki/Q7140482","display_name":"Particle (ecology)","level":2,"score":0.6174565553665161},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5916718244552612},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.503492534160614},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.4763346314430237},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.44364774227142334},{"id":"https://openalex.org/C7218915","wikidata":"https://www.wikidata.org/wiki/Q1054475","display_name":"Gaussian function","level":3,"score":0.412733793258667},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37325137853622437},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3049699664115906},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.16829314827919006},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.1425565779209137},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.07102692127227783},{"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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssp.2014.6884592","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp.2014.6884592","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Workshop on Statistical Signal Processing (SSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1483307070","https://openalex.org/W1533614607","https://openalex.org/W1628268552","https://openalex.org/W1749494163","https://openalex.org/W1982647830","https://openalex.org/W1988435521","https://openalex.org/W1994096034","https://openalex.org/W2001631396","https://openalex.org/W2011416991","https://openalex.org/W2040975855","https://openalex.org/W2076538312","https://openalex.org/W2105934661","https://openalex.org/W2113767669","https://openalex.org/W2138382705","https://openalex.org/W2150375101","https://openalex.org/W2171191044","https://openalex.org/W2178829616","https://openalex.org/W2251636096","https://openalex.org/W2332774781","https://openalex.org/W4255133955","https://openalex.org/W6632023624","https://openalex.org/W6647633009","https://openalex.org/W6650748529"],"related_works":["https://openalex.org/W1992295166","https://openalex.org/W2384408398","https://openalex.org/W2143508933","https://openalex.org/W2804516791","https://openalex.org/W2999533062","https://openalex.org/W4312290701","https://openalex.org/W4380302106","https://openalex.org/W2027072693","https://openalex.org/W4287180928","https://openalex.org/W3161938660"],"abstract_inverted_index":{"In":[0,16],"Gaussian":[1,25,47,69],"particle":[2,26,48,70],"filtering":[3,27,49,71],"the":[4,38,53,65,68,73,82],"distributions":[5],"of":[6,14,52,67],"interest":[7],"are":[8],"approximated":[9],"by":[10,85],"Gaussians":[11],"or":[12],"mixtures":[13],"Gaussians.":[15],"this":[17],"paper,":[18],"we":[19],"present":[20],"an":[21],"approach":[22,33,84],"for":[23],"using":[24],"in":[28,50,72],"high":[29],"dimensional":[30],"systems.":[31],"The":[32,55],"is":[34],"based":[35],"on":[36],"breaking":[37],"high-dimensional":[39],"systems":[40,43],"into":[41],"smaller-dimensional":[42],"(subsystems)":[44],"and":[45],"applying":[46],"each":[51],"subsystems.":[54],"subsystems":[56,62,74],"exchange":[57],"information":[58],"with":[59],"other":[60],"(relevant)":[61],"so":[63],"that":[64],"operations":[66],"can":[75],"be":[76],"carried":[77],"out":[78],"unimpeded.":[79],"We":[80],"demonstrate":[81],"proposed":[83],"computer":[86],"simulations.":[87]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
