{"id":"https://openalex.org/W1582914234","doi":"https://doi.org/10.1007/978-3-642-15880-3_14","title":"Adaptive Parallel/Serial Sampling Mechanisms for Particle Filtering in Dynamic Bayesian Networks","display_name":"Adaptive Parallel/Serial Sampling Mechanisms for Particle Filtering in Dynamic Bayesian Networks","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W1582914234","doi":"https://doi.org/10.1007/978-3-642-15880-3_14","mag":"1582914234"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-15880-3_14","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-642-15880-3_14","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-642-15880-3_14.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-642-15880-3_14.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043189430","display_name":"Eva Besada-Portas","orcid":"https://orcid.org/0000-0001-6129-4653"},"institutions":[{"id":"https://openalex.org/I121748325","display_name":"Universidad Complutense de Madrid","ror":"https://ror.org/02p0gd045","country_code":"ES","type":"education","lineage":["https://openalex.org/I121748325"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Eva Besada-Portas","raw_affiliation_strings":["Universidad Complutense de Madrid, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Universidad Complutense de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I121748325"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082230429","display_name":"Sergey Plis","orcid":"https://orcid.org/0000-0003-0040-0365"},"institutions":[{"id":"https://openalex.org/I1334567473","display_name":"Mind Research Network","ror":"https://ror.org/032cjfs80","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1334567473"]},{"id":"https://openalex.org/I169521973","display_name":"University of New Mexico","ror":"https://ror.org/05fs6jp91","country_code":"US","type":"education","lineage":["https://openalex.org/I169521973"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sergey M. Plis","raw_affiliation_strings":["The Mind Research Network, Albuquerque, USA","University of New Mexico, Albuquerque, USA"],"affiliations":[{"raw_affiliation_string":"The Mind Research Network, Albuquerque, USA","institution_ids":["https://openalex.org/I1334567473"]},{"raw_affiliation_string":"University of New Mexico, Albuquerque, USA","institution_ids":["https://openalex.org/I169521973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057040821","display_name":"Jes\u00fas Manuel de la Cruz Garc\u00eda","orcid":"https://orcid.org/0000-0001-6192-4803"},"institutions":[{"id":"https://openalex.org/I121748325","display_name":"Universidad Complutense de Madrid","ror":"https://ror.org/02p0gd045","country_code":"ES","type":"education","lineage":["https://openalex.org/I121748325"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jesus M. de la Cruz","raw_affiliation_strings":["Universidad Complutense de Madrid, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Universidad Complutense de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I121748325"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020376623","display_name":"Terran Lane","orcid":null},"institutions":[{"id":"https://openalex.org/I169521973","display_name":"University of New Mexico","ror":"https://ror.org/05fs6jp91","country_code":"US","type":"education","lineage":["https://openalex.org/I169521973"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Terran Lane","raw_affiliation_strings":["University of New Mexico, Albuquerque, USA"],"affiliations":[{"raw_affiliation_string":"University of New Mexico, Albuquerque, USA","institution_ids":["https://openalex.org/I169521973"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5043189430"],"corresponding_institution_ids":["https://openalex.org/I121748325"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":1.1312,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.7895099,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"119","last_page":"134"},"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9973999857902527,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9951000213623047,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.7883847951889038},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.6420562267303467},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6337352991104126},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5388433933258057},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5275784730911255},{"id":"https://openalex.org/keywords/hidden-variable-theory","display_name":"Hidden variable theory","score":0.5132434368133545},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.4881823658943176},{"id":"https://openalex.org/keywords/adaptive-sampling","display_name":"Adaptive sampling","score":0.4756074547767639},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4619477391242981},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.45446908473968506},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.45344358682632446},{"id":"https://openalex.org/keywords/dynamical-systems-theory","display_name":"Dynamical systems theory","score":0.4311993718147278},{"id":"https://openalex.org/keywords/importance-sampling","display_name":"Importance sampling","score":0.4263157844543457},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4123002290725708},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36028218269348145},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18141868710517883},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.17601832747459412},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.16813746094703674},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11673146486282349},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.06830832362174988}],"concepts":[{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.7883847951889038},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.6420562267303467},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6337352991104126},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5388433933258057},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5275784730911255},{"id":"https://openalex.org/C137002209","wikidata":"https://www.wikidata.org/wiki/Q898521","display_name":"Hidden variable theory","level":3,"score":0.5132434368133545},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.4881823658943176},{"id":"https://openalex.org/C2781395549","wikidata":"https://www.wikidata.org/wiki/Q4680762","display_name":"Adaptive sampling","level":3,"score":0.4756074547767639},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4619477391242981},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.45446908473968506},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.45344358682632446},{"id":"https://openalex.org/C79379906","wikidata":"https://www.wikidata.org/wiki/Q3174497","display_name":"Dynamical systems theory","level":2,"score":0.4311993718147278},{"id":"https://openalex.org/C52740198","wikidata":"https://www.wikidata.org/wiki/Q1539564","display_name":"Importance sampling","level":3,"score":0.4263157844543457},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4123002290725708},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36028218269348145},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18141868710517883},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.17601832747459412},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.16813746094703674},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11673146486282349},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.06830832362174988},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"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":2,"locations":[{"id":"doi:10.1007/978-3-642-15880-3_14","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-642-15880-3_14","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-642-15880-3_14.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:www.ucm.es:21421","is_oa":true,"landing_page_url":null,"pdf_url":"https://eprints.ucm.es/id/eprint/21421/1/besadaportas04.pdf","source":{"id":"https://openalex.org/S4306400298","display_name":"Library Open Repository (Universidad Complutense Madrid)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I121748325","host_organization_name":"Universidad Complutense de Madrid","host_organization_lineage":["https://openalex.org/I121748325"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/bookPart"}],"best_oa_location":{"id":"doi:10.1007/978-3-642-15880-3_14","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-642-15880-3_14","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-642-15880-3_14.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4273468108","display_name":null,"funder_award_id":"1 R01 EB 006841","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G8901407858","display_name":null,"funder_award_id":"1 R01 EB 005846","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G8922228793","display_name":"RI: Synergistic Machine Learning: Collaboration and Topology Exploitation in Dynamic Environments","funder_award_id":"0705681","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1582914234.pdf","grobid_xml":"https://content.openalex.org/works/W1582914234.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W87092543","https://openalex.org/W1483307070","https://openalex.org/W1493929007","https://openalex.org/W1533614607","https://openalex.org/W1549295009","https://openalex.org/W1552529795","https://openalex.org/W2010792576","https://openalex.org/W2105130030","https://openalex.org/W2113459360","https://openalex.org/W2117663940","https://openalex.org/W2123629502","https://openalex.org/W2123657698","https://openalex.org/W2126736494","https://openalex.org/W2127664252","https://openalex.org/W2128252831","https://openalex.org/W2130719734","https://openalex.org/W2131865378","https://openalex.org/W2144337972","https://openalex.org/W2149020252","https://openalex.org/W2160584648","https://openalex.org/W2162729570","https://openalex.org/W2169366712","https://openalex.org/W2963349082","https://openalex.org/W4233290410","https://openalex.org/W4256361765","https://openalex.org/W6628950746"],"related_works":["https://openalex.org/W1877846107","https://openalex.org/W2962775488","https://openalex.org/W2145647377","https://openalex.org/W2113046264","https://openalex.org/W2075308234","https://openalex.org/W2008352624","https://openalex.org/W3157383594","https://openalex.org/W2117643935","https://openalex.org/W2124156864","https://openalex.org/W2940245516"],"abstract_inverted_index":null,"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2026-04-23T09:07:50.710637","created_date":"2025-10-10T00:00:00"}