{"id":"https://openalex.org/W4327808549","doi":"https://doi.org/10.1109/lsp.2023.3258861","title":"Spatiotemporal Learning via Mixture Importance Gaussian Filtering With Sparse Regularization","display_name":"Spatiotemporal Learning via Mixture Importance Gaussian Filtering With Sparse Regularization","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4327808549","doi":"https://doi.org/10.1109/lsp.2023.3258861"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2023.3258861","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2023.3258861","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-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/A5057855857","display_name":"Hongwei Zhang","orcid":"https://orcid.org/0000-0001-9417-0008"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongwei Zhang","raw_affiliation_strings":["School of Aeronautics and Astronautics, Sun Yat-sen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Aeronautics and Astronautics, Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019009712","display_name":"Xiaoyu Ye","orcid":"https://orcid.org/0000-0002-9226-5676"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Ye","raw_affiliation_strings":["School of Aeronautics and Astronautics, Sun Yat-sen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Aeronautics and Astronautics, Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083114459","display_name":"Qi Hu","orcid":"https://orcid.org/0000-0001-5410-6343"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210110458","display_name":"Institute of Electronics","ror":"https://ror.org/01z143507","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210110458"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Hu","raw_affiliation_strings":["Nanjing Research Institute of Electronics Technology, Nanjing, China","School of Aeronautics and Astronautics, Sun Yat-sen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Nanjing Research Institute of Electronics Technology, Nanjing, China","institution_ids":["https://openalex.org/I4210110458"]},{"raw_affiliation_string":"School of Aeronautics and Astronautics, Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057855857"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":0.6983,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74021618,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"30","issue":null,"first_page":"279","last_page":"283"},"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":0.9997000098228455,"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":0.9997000098228455,"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":0.9991000294685364,"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":0.9865999817848206,"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/regularization","display_name":"Regularization (linguistics)","score":0.6262563467025757},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5838942527770996},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5604638457298279},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4946729838848114},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4549505412578583},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4543955624103546},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4424085319042206},{"id":"https://openalex.org/keywords/truncation","display_name":"Truncation (statistics)","score":0.4327836036682129},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4315844178199768},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3547285795211792},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.31892019510269165}],"concepts":[{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6262563467025757},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5838942527770996},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5604638457298279},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4946729838848114},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4549505412578583},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4543955624103546},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4424085319042206},{"id":"https://openalex.org/C106195933","wikidata":"https://www.wikidata.org/wiki/Q7847935","display_name":"Truncation (statistics)","level":2,"score":0.4327836036682129},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4315844178199768},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3547285795211792},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31892019510269165},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2023.3258861","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2023.3258861","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.4000000059604645,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1571674711","https://openalex.org/W1999479532","https://openalex.org/W2013002270","https://openalex.org/W2042845763","https://openalex.org/W2043357888","https://openalex.org/W2103632679","https://openalex.org/W2124156864","https://openalex.org/W2140242774","https://openalex.org/W2344154382","https://openalex.org/W2579084038","https://openalex.org/W2799716872","https://openalex.org/W2890675736","https://openalex.org/W2935669384","https://openalex.org/W2948242301","https://openalex.org/W2989483765","https://openalex.org/W2991289904","https://openalex.org/W3000108011","https://openalex.org/W3083250201","https://openalex.org/W3112139620","https://openalex.org/W3132889715","https://openalex.org/W3172712741","https://openalex.org/W4210501052","https://openalex.org/W4230624888","https://openalex.org/W4232464081","https://openalex.org/W4250589301","https://openalex.org/W6676780147","https://openalex.org/W6725805445"],"related_works":["https://openalex.org/W1974935850","https://openalex.org/W2074350688","https://openalex.org/W3158981924","https://openalex.org/W2042589464","https://openalex.org/W4252883813","https://openalex.org/W2346128247","https://openalex.org/W2078650164","https://openalex.org/W3047214821","https://openalex.org/W2169866437","https://openalex.org/W1964286703"],"abstract_inverted_index":{"This":[0,48],"letter":[1],"proposes":[2],"a":[3,88],"novel":[4],"spatiotemporal":[5],"learning":[6],"model":[7,86],"via":[8],"mixture":[9],"importance":[10,45],"Gaussian":[11],"filtering":[12],"(MIGF).":[13],"In":[14],"the":[15,19,23,28,38,43,52,61,66,80,99,103],"MIGF,":[16],"we":[17],"explore":[18],"causal":[20,74],"mapping":[21],"between":[22],"target's":[24],"true":[25],"parameters":[26,81],"and":[27,31,56,64],"latest":[29],"measurement,":[30],"present":[32],"an":[33,72],"approach":[34],"for":[35,51,102],"elegantly":[36],"combining":[37],"deterministic":[39],"Gaussian-Hermite":[40],"integral":[41],"with":[42,87],"stochastic":[44],"sampling":[46],"method.":[47],"formulation":[49],"allows":[50],"use":[53],"of":[54,82],"soft-constrained":[55],"sparse":[57],"regularization":[58],"to":[59,78],"reduce":[60],"truncation":[62],"error":[63],"improve":[65],"weight":[67],"adaptivity.":[68],"We":[69],"also":[70],"provide":[71],"effective":[73],"invariant":[75],"updating":[76],"rule":[77],"learn":[79],"this":[83],"constrained":[84,104],"dynamic":[85],"convergence":[89],"guarantee.":[90],"Experimental":[91],"results":[92],"show":[93],"that":[94],"MIGF":[95],"can":[96],"effectively":[97],"eliminate":[98],"constraint":[100],"uncertainty":[101],"dynamics.":[105]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}