{"id":"https://openalex.org/W3112153148","doi":"https://doi.org/10.23919/eusipco47968.2020.9287459","title":"An Optimization Framework for Regularized Linearly Coupled Matrix-Tensor Factorization","display_name":"An Optimization Framework for Regularized Linearly Coupled Matrix-Tensor Factorization","publication_year":2020,"publication_date":"2020-12-18","ids":{"openalex":"https://openalex.org/W3112153148","doi":"https://doi.org/10.23919/eusipco47968.2020.9287459","mag":"3112153148"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco47968.2020.9287459","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco47968.2020.9287459","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 28th European Signal Processing Conference (EUSIPCO)","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/A5042785751","display_name":"Carla Schenker","orcid":"https://orcid.org/0000-0001-6234-7569"},"institutions":[{"id":"https://openalex.org/I4210153474","display_name":"Simula Metropolitan Center for Digital Engineering","ror":"https://ror.org/04xtarr15","country_code":"NO","type":"nonprofit","lineage":["https://openalex.org/I184531372","https://openalex.org/I2799829267","https://openalex.org/I4210153474"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Carla Schenker","raw_affiliation_strings":["Simula Metropolitan Center, Digital Engineering & Oslo Metropolitan Univ., Oslo, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Simula Metropolitan Center, Digital Engineering & Oslo Metropolitan Univ., Oslo, Norway","institution_ids":["https://openalex.org/I4210153474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073471976","display_name":"J\u00e9r\u00e9my E. Cohen","orcid":"https://orcid.org/0000-0001-8319-8566"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I2802519937","display_name":"Institut de Recherche en Informatique et Syst\u00e8mes Al\u00e9atoires","ror":"https://ror.org/00myn0z94","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I2802519937","https://openalex.org/I28221208","https://openalex.org/I4210127572","https://openalex.org/I4210159245","https://openalex.org/I56067802"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jeremy E. Cohen","raw_affiliation_strings":["Inria, CNRS, IRISA, University of Rennes, Rennes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inria, CNRS, IRISA, University of Rennes, Rennes, France","institution_ids":["https://openalex.org/I56067802","https://openalex.org/I2802519937","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046236337","display_name":"Evrim Acar","orcid":"https://orcid.org/0000-0002-3737-292X"},"institutions":[{"id":"https://openalex.org/I4210153474","display_name":"Simula Metropolitan Center for Digital Engineering","ror":"https://ror.org/04xtarr15","country_code":"NO","type":"nonprofit","lineage":["https://openalex.org/I184531372","https://openalex.org/I2799829267","https://openalex.org/I4210153474"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Evrim Acar","raw_affiliation_strings":["Simula Metropolitan Center for Digital Engineering, Oslo, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Simula Metropolitan Center for Digital Engineering, Oslo, Norway","institution_ids":["https://openalex.org/I4210153474"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6992,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.65403423,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"985","last_page":"989"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9625999927520752,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9553999900817871,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.6673104763031006},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.6459720134735107},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5858850479125977},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5739319324493408},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.5462155342102051},{"id":"https://openalex.org/keywords/coupling","display_name":"Coupling (piping)","score":0.4956318140029907},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.463532954454422},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4577040672302246},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.44796353578567505},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4413120448589325},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4306914210319519},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32565435767173767},{"id":"https://openalex.org/keywords/algebra-over-a-field","display_name":"Algebra over a field","score":0.3232375979423523},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3211439251899719},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3089331388473511},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1723620891571045},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.09048593044281006},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07452529668807983}],"concepts":[{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.6673104763031006},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.6459720134735107},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5858850479125977},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5739319324493408},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.5462155342102051},{"id":"https://openalex.org/C131584629","wikidata":"https://www.wikidata.org/wiki/Q4308705","display_name":"Coupling (piping)","level":2,"score":0.4956318140029907},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.463532954454422},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4577040672302246},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.44796353578567505},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4413120448589325},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4306914210319519},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32565435767173767},{"id":"https://openalex.org/C136119220","wikidata":"https://www.wikidata.org/wiki/Q1000660","display_name":"Algebra over a field","level":2,"score":0.3232375979423523},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3211439251899719},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3089331388473511},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1723620891571045},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.09048593044281006},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07452529668807983},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/eusipco47968.2020.9287459","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco47968.2020.9287459","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 28th European Signal Processing Conference (EUSIPCO)","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":22,"referenced_works":["https://openalex.org/W40848148","https://openalex.org/W356012825","https://openalex.org/W1480059945","https://openalex.org/W1632866817","https://openalex.org/W1850275953","https://openalex.org/W2000215628","https://openalex.org/W2024165284","https://openalex.org/W2034298135","https://openalex.org/W2047680880","https://openalex.org/W2064321206","https://openalex.org/W2086261631","https://openalex.org/W2108840817","https://openalex.org/W2121739212","https://openalex.org/W2164278908","https://openalex.org/W2258054274","https://openalex.org/W2419656545","https://openalex.org/W2763081248","https://openalex.org/W2903132576","https://openalex.org/W2949982560","https://openalex.org/W3122703110","https://openalex.org/W4292363360","https://openalex.org/W6636705969"],"related_works":["https://openalex.org/W2794559785","https://openalex.org/W2950281908","https://openalex.org/W1754499339","https://openalex.org/W2013873776","https://openalex.org/W2583828359","https://openalex.org/W3102011585","https://openalex.org/W2084977674","https://openalex.org/W2963117165","https://openalex.org/W1973739845","https://openalex.org/W119752240"],"abstract_inverted_index":{"An":[0],"effective":[1],"way":[2],"of":[3,42,53,81,93],"jointly":[4],"analyzing":[5],"data":[6,13,34,43,56],"from":[7,45],"multiple":[8],"sources,":[9,47],"in":[10,33],"other":[11],"words,":[12],"fusion,":[14],"is":[15,36,107],"to":[16,39],"formulate":[17],"the":[18,104],"problem":[19],"as":[20],"a":[21,66,91],"coupled":[22,85],"matrix":[23,86],"and":[24,50,68,77,87,95],"tensor":[25,88],"factorization":[26],"(CMTF)":[27],"problem.":[28],"However,":[29],"one":[30],"major":[31],"challenge":[32],"fusion":[35],"that":[37,103],"due":[38],"eclectic":[40],"characteristics":[41],"stemming":[44],"different":[46,51],"various":[48],"constraints":[49,94],"types":[52],"coupling":[54,96],"between":[55],"sets":[57],"should":[58],"be":[59],"incorporated.":[60],"In":[61],"this":[62],"paper,":[63],"we":[64],"propose":[65],"flexible":[67],"efficient":[69,110],"algorithmic":[70],"framework":[71],"building":[72],"onto":[73],"Alternating":[74,78],"Optimization":[75],"(AO)":[76],"Direction":[79],"Method":[80],"Multipliers":[82],"(ADMM)":[83],"for":[84],"factorizations":[89],"incorporating":[90],"variety":[92],"with":[97,111],"linear":[98],"transformations.":[99],"Numerical":[100],"experiments":[101],"demonstrate":[102],"proposed":[105],"approach":[106],"accurate,":[108],"computationally":[109],"comparable":[112],"or":[113],"better":[114],"performance":[115],"than":[116],"available":[117],"CMTF":[118],"methods":[119],"while":[120],"being":[121],"also":[122],"more":[123],"flexible.":[124]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
