{"id":"https://openalex.org/W2999998410","doi":"https://doi.org/10.1109/icassp40776.2020.9053646","title":"Graphem: EM Algorithm for Blind Kalman Filtering Under Graphical Sparsity Constraints","display_name":"Graphem: EM Algorithm for Blind Kalman Filtering Under Graphical Sparsity Constraints","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W2999998410","doi":"https://doi.org/10.1109/icassp40776.2020.9053646","mag":"2999998410"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9053646","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053646","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.research.ed.ac.uk/en/publications/adf11762-cb9d-44e4-9eb3-a650c09bcd90","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062777204","display_name":"\u00c9milie Chouzenoux","orcid":"https://orcid.org/0000-0003-3631-6093"},"institutions":[{"id":"https://openalex.org/I4210107720","display_name":"CentraleSup\u00e9lec","ror":"https://ror.org/019tcpt25","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Emilie Chouzenoux","raw_affiliation_strings":["Universit\u00e9 Paris-Saclay, CentraleSup\u00e9lec, Inria, CVN, Gif-sur-Yvette, France","Universit\u00e9 Paris-Saclay,CentraleSup\u00e9lec, Inria, CVN,Gif-sur-Yvette,France"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Paris-Saclay, CentraleSup\u00e9lec, Inria, CVN, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I4210107720","https://openalex.org/I277688954"]},{"raw_affiliation_string":"Universit\u00e9 Paris-Saclay,CentraleSup\u00e9lec, Inria, CVN,Gif-sur-Yvette,France","institution_ids":["https://openalex.org/I4210107720","https://openalex.org/I277688954"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085691944","display_name":"V\u0301\u0131ctor Elvira","orcid":"https://orcid.org/0000-0002-8967-4866"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Victor Elvira","raw_affiliation_strings":["School of Mathematics, University of Edinburgh, United Kingdom","University of Edinburgh,School of Mathematics,United Kingdom"],"affiliations":[{"raw_affiliation_string":"School of Mathematics, University of Edinburgh, United Kingdom","institution_ids":["https://openalex.org/I98677209"]},{"raw_affiliation_string":"University of Edinburgh,School of Mathematics,United Kingdom","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5062777204"],"corresponding_institution_ids":["https://openalex.org/I277688954","https://openalex.org/I4210107720"],"apc_list":null,"apc_paid":null,"fwci":0.44332703,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.58531289,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"5840","last_page":"5844"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12261","display_name":"Statistical Mechanics and Entropy","score":0.9829999804496765,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.972000002861023,"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/algorithm","display_name":"Algorithm","score":0.6238610744476318},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.6048845052719116},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.577019214630127},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.5716257691383362},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4607546925544739},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4553811848163605},{"id":"https://openalex.org/keywords/state-space-representation","display_name":"State-space representation","score":0.44216907024383545},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.4271845817565918},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.42661482095718384},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37167274951934814},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30525219440460205}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6238610744476318},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6048845052719116},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.577019214630127},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.5716257691383362},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4607546925544739},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4553811848163605},{"id":"https://openalex.org/C52918065","wikidata":"https://www.wikidata.org/wiki/Q230945","display_name":"State-space representation","level":2,"score":0.44216907024383545},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.4271845817565918},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.42661482095718384},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37167274951934814},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30525219440460205},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.1109/icassp40776.2020.9053646","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053646","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.ed.ac.uk:openaire/adf11762-cb9d-44e4-9eb3-a650c09bcd90","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/adf11762-cb9d-44e4-9eb3-a650c09bcd90","pdf_url":null,"source":{"id":"https://openalex.org/S4306400321","display_name":"Edinburgh Research Explorer (University of Edinburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98677209","host_organization_name":"University of Edinburgh","host_organization_lineage":["https://openalex.org/I98677209"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Chouzenoux, E & Elvira, V 2020, 'GraphEM: EM algorithm for blind Kalman filtering under graphical sparsity constraints', Paper presented at IEEE International Conference on Acoustics, 4/05/20 - 8/05/20. https://doi.org/10.1109/ICASSP40776.2020.9053646","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:arXiv.org:2001.03195","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2001.03195","pdf_url":"https://arxiv.org/pdf/2001.03195","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},{"id":"mag:2999998410","is_oa":true,"landing_page_url":"http://arxiv.org/pdf/2001.03195.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:HAL:hal-03066208v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03066208","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"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":"ICASSP 2020 - 45th International Conference on Acoustics, Speech and Signal Processing, May 2020, Barcelona, Spain. pp.5840-5844, ⟨10.1109/ICASSP40776.2020.9053646⟩","raw_type":"Conference papers"},{"id":"doi:10.48550/arxiv.2001.03195","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2001.03195","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"doi:10.17023/wjv2-ek63","is_oa":true,"landing_page_url":"https://doi.org/10.17023/wjv2-ek63","pdf_url":null,"source":{"id":"https://openalex.org/S7407051697","display_name":"IEEE RESOURCE CENTERS","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:pure.ed.ac.uk:openaire/adf11762-cb9d-44e4-9eb3-a650c09bcd90","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/adf11762-cb9d-44e4-9eb3-a650c09bcd90","pdf_url":null,"source":{"id":"https://openalex.org/S4306400321","display_name":"Edinburgh Research Explorer (University of Edinburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98677209","host_organization_name":"University of Edinburgh","host_organization_lineage":["https://openalex.org/I98677209"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Chouzenoux, E & Elvira, V 2020, 'GraphEM: EM algorithm for blind Kalman filtering under graphical sparsity constraints', Paper presented at IEEE International Conference on Acoustics, 4/05/20 - 8/05/20. https://doi.org/10.1109/ICASSP40776.2020.9053646","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W205960364","https://openalex.org/W1504194272","https://openalex.org/W1524046766","https://openalex.org/W1963718895","https://openalex.org/W1985690171","https://openalex.org/W2007998685","https://openalex.org/W2014886698","https://openalex.org/W2038119517","https://openalex.org/W2049633694","https://openalex.org/W2093545205","https://openalex.org/W2100556411","https://openalex.org/W2105934661","https://openalex.org/W2113762408","https://openalex.org/W2115706991","https://openalex.org/W2123487311","https://openalex.org/W2127406017","https://openalex.org/W2132555912","https://openalex.org/W2135046866","https://openalex.org/W2136271315","https://openalex.org/W2142280715","https://openalex.org/W2149414429","https://openalex.org/W2167015655","https://openalex.org/W2167409026","https://openalex.org/W2730088321","https://openalex.org/W2775246207","https://openalex.org/W2777557676","https://openalex.org/W2793507168","https://openalex.org/W2949816873","https://openalex.org/W2987364857","https://openalex.org/W3100543032","https://openalex.org/W4205213118","https://openalex.org/W4232464081","https://openalex.org/W6631431052","https://openalex.org/W6740863885","https://openalex.org/W6746996123","https://openalex.org/W6747058156"],"related_works":["https://openalex.org/W3157481694","https://openalex.org/W2181356457","https://openalex.org/W3136736766","https://openalex.org/W2344925077","https://openalex.org/W2904473911","https://openalex.org/W2167947196","https://openalex.org/W2963020974","https://openalex.org/W2124397876","https://openalex.org/W3201728305","https://openalex.org/W1674372427","https://openalex.org/W3022874397","https://openalex.org/W2950429510","https://openalex.org/W3004272652","https://openalex.org/W2610838890","https://openalex.org/W2728803307","https://openalex.org/W2183975338","https://openalex.org/W3145223956","https://openalex.org/W1846975606","https://openalex.org/W2973391802","https://openalex.org/W2184346291"],"abstract_inverted_index":{"Modeling":[0],"and":[1,22,109,172],"inference":[2,55,173],"with":[3,48,99],"multivariate":[4,68],"sequences":[5,69],"is":[6,32,70,88,116,149],"central":[7],"in":[8,138,151],"a":[9,26,33,38,45,53,89,111,128,143,158],"number":[10],"of":[11,44,51,107,142,168],"signal":[12],"processing":[13],"applications":[14],"such":[15,94],"as":[16],"acoustics,":[17],"social":[18],"network":[19],"analysis,":[20],"biomedical,":[21],"finance,":[23],"to":[24,36,58,103,118],"name":[25],"few.":[27],"The":[28],"linear-Gaussian":[29,144],"state-space":[30,145],"model":[31,171],"common":[34],"way":[35],"describe":[37],"time":[39],"series":[40],"through":[41],"the":[42,49,59,71,79,85,105,121,134,139,152,166,169],"evolution":[43],"hidden":[46,81],"state,":[47],"advantage":[50],"presenting":[52],"simple":[54],"procedure":[56],"due":[57],"celebrated":[60],"Kalman":[61],"filter.":[62],"A":[63],"fundamental":[64],"question":[65],"when":[66,84],"analyzing":[67],"search":[72],"for":[73,132],"relationships":[74],"between":[75],"their":[76],"entries":[77],"(or":[78],"modeled":[80],"states),":[82],"especially":[83],"inherent":[86],"structure":[87],"non-fully":[90],"connected":[91],"graph.":[92],"In":[93,123],"context,":[95],"graphical":[96],"modeling":[97],"combined":[98],"parsimony":[100],"constraints":[101],"allows":[102],"limit":[104],"proliferation":[106],"parameters":[108],"enables":[110],"compact":[112],"data":[113],"representation":[114],"which":[115],"easier":[117],"interpret":[119],"by":[120],"experts.":[122],"this":[124],"work,":[125],"we":[126,155],"propose":[127],"novel":[129],"expectation-minimization":[130],"algorithm":[131],"estimating":[133],"linear":[135],"matrix":[136],"operator":[137],"state":[140],"equation":[141],"model.":[146],"Lasso":[147],"regularization":[148],"included":[150],"M-step,":[153],"that":[154],"solved":[156],"using":[157],"proximal":[159],"splitting":[160],"Douglas-Rachford":[161],"algorithm.":[162],"Numerical":[163],"experiments":[164],"illustrate":[165],"benefits":[167],"proposed":[170],"technique,":[174],"named":[175],"GraphEM,":[176],"over":[177],"competitors":[178],"relying":[179],"on":[180],"Granger":[181],"causality.":[182]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-02-05T00:54:17.221276","created_date":"2025-10-10T00:00:00"}