{"id":"https://openalex.org/W2888774624","doi":"https://doi.org/10.1109/ssp.2018.8450821","title":"A Probabilistic Approach for Adaptive State-Space Partitioning","display_name":"A Probabilistic Approach for Adaptive State-Space Partitioning","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2888774624","doi":"https://doi.org/10.1109/ssp.2018.8450821","mag":"2888774624"},"language":"en","primary_location":{"id":"doi:10.1109/ssp.2018.8450821","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp.2018.8450821","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Statistical Signal Processing Workshop (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/A5052097693","display_name":"Jordi Vil\u00e0\u2010Valls","orcid":"https://orcid.org/0000-0001-7858-4171"},"institutions":[{"id":"https://openalex.org/I4210087295","display_name":"Centre Tecnologic de Telecomunicacions de Catalunya","ror":"https://ror.org/001cwea56","country_code":"ES","type":"nonprofit","lineage":["https://openalex.org/I4210087295","https://openalex.org/I4387153040"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Jordi Vila-Valls","raw_affiliation_strings":["Centre Tecnol\u00f2gic de Telecomunicacions de Catalunya (CTTC/CERCA), Barcelona, (Spain)"],"affiliations":[{"raw_affiliation_string":"Centre Tecnol\u00f2gic de Telecomunicacions de Catalunya (CTTC/CERCA), Barcelona, (Spain)","institution_ids":["https://openalex.org/I4210087295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070127242","display_name":"Pau Closas","orcid":"https://orcid.org/0000-0002-5960-6600"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pau Closas","raw_affiliation_strings":["Dept. of Electrical & Computer Engineering, Northeastern University, Boston, MA, (USA)"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical & Computer Engineering, Northeastern University, Boston, MA, (USA)","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","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":["Dept. of Electrical & Computer Engineering, Stony Brook University, Stony Brook, NY, (USA)"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical & Computer Engineering, Stony Brook University, Stony Brook, NY, (USA)","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049447262","display_name":"Joaqu\u0131\u0301n M\u0131\u0301guez","orcid":"https://orcid.org/0000-0001-5227-7253"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Joaquin Miguez","raw_affiliation_strings":["Dept. de Teor\u00eda de la Se\u00f1aly Comunicaciones, Universidad Carlos III de Madrid, Madrid, (Spain)"],"affiliations":[{"raw_affiliation_string":"Dept. de Teor\u00eda de la Se\u00f1aly Comunicaciones, Universidad Carlos III de Madrid, Madrid, (Spain)","institution_ids":["https://openalex.org/I50357001"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5052097693"],"corresponding_institution_ids":["https://openalex.org/I4210087295"],"apc_list":null,"apc_paid":null,"fwci":0.1629,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58490907,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"248","last_page":"252"},"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":0.9994000196456909,"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":0.9994000196456909,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9901000261306763,"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/T10876","display_name":"Fault Detection and Control Systems","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/linear-subspace","display_name":"Linear subspace","score":0.741123616695404},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.7034899592399597},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6765384674072266},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.6424580812454224},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.5921328067779541},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5847848653793335},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.5755777359008789},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.5389372706413269},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5319668650627136},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5070388317108154},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5042279958724976},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.49228087067604065},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.46662604808807373},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.45178186893463135},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.42777204513549805},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4204341173171997},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3753240704536438},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.2711401581764221},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2287009358406067},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09744858741760254}],"concepts":[{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.741123616695404},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.7034899592399597},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6765384674072266},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.6424580812454224},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.5921328067779541},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5847848653793335},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.5755777359008789},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.5389372706413269},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5319668650627136},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5070388317108154},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5042279958724976},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.49228087067604065},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.46662604808807373},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.45178186893463135},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42777204513549805},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4204341173171997},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3753240704536438},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.2711401581764221},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2287009358406067},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09744858741760254},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssp.2018.8450821","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp.2018.8450821","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Statistical Signal Processing Workshop (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":12,"referenced_works":["https://openalex.org/W1982647830","https://openalex.org/W2009086942","https://openalex.org/W2043357888","https://openalex.org/W2054091988","https://openalex.org/W2076538312","https://openalex.org/W2078306012","https://openalex.org/W2086111352","https://openalex.org/W2088201894","https://openalex.org/W2099371695","https://openalex.org/W2244997136","https://openalex.org/W2535860443","https://openalex.org/W2792153885"],"related_works":["https://openalex.org/W2391321755","https://openalex.org/W2949110394","https://openalex.org/W2896134808","https://openalex.org/W4289378085","https://openalex.org/W2071055957","https://openalex.org/W4211228991","https://openalex.org/W2353790329","https://openalex.org/W3103861421","https://openalex.org/W2977728051","https://openalex.org/W1982370455"],"abstract_inverted_index":{"The":[0],"multiple":[1,65,70,104],"Bayesian":[2,49],"filtering":[3,105],"approach":[4],"is":[5,78,92],"based":[6,114],"on":[7,102,115],"the":[8,11,27,43,53,62,76,82,103,116],"partitioning":[9],"of":[10,22,42,64],"state-space":[12],"in":[13,55,61,75],"several":[14],"lower":[15],"dimensional":[16],"subspaces,":[17],"combined":[18],"with":[19],"a":[20,109],"set":[21],"parallel":[23],"filters":[24,67,72],"that":[25],"characterize":[26],"marginal":[28],"subspace":[29],"posteriors.":[30],"This":[31],"solution":[32],"has":[33],"been":[34],"shown":[35],"to":[36,80],"perform":[37],"well":[38],"and":[39,69,107],"solve":[40],"some":[41,56],"problems":[44],"typically":[45],"suffered":[46],"by":[47],"standard":[48],"filters,":[50],"such":[51],"as":[52],"curse-of-dimensionality,":[54],"scenarios.":[57],"An":[58],"inherent":[59],"problem":[60],"application":[63],"Gaussian":[66],"(MGF)":[68],"particle":[71],"(MPF)":[73],"proposed":[74],"literature":[77],"how":[79],"partition":[81],"state-space.":[83],"A":[84],"closed":[85],"answer":[86],"does":[87],"not":[88],"exist":[89],"because":[90],"this":[91,97],"an":[93],"application-dependent":[94],"problem.":[95],"In":[96],"contribution":[98],"we":[99],"further":[100],"elaborate":[101],"approach,":[106],"propose":[108],"probabilistic":[110],"adaptive":[111],"state-partitioning":[112],"strategy":[113],"crosscorrelation":[117],"computed":[118],"at":[119],"each":[120],"filter.":[121]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}