{"id":"https://openalex.org/W3166973495","doi":"https://doi.org/10.1109/ieeeconf51394.2020.9443283","title":"An Adaptation for Iterative Structured Matrix Completion","display_name":"An Adaptation for Iterative Structured Matrix Completion","publication_year":2020,"publication_date":"2020-11-01","ids":{"openalex":"https://openalex.org/W3166973495","doi":"https://doi.org/10.1109/ieeeconf51394.2020.9443283","mag":"3166973495"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf51394.2020.9443283","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf51394.2020.9443283","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","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/A5003560127","display_name":"Lara Kassab","orcid":"https://orcid.org/0000-0001-6805-4978"},"institutions":[{"id":"https://openalex.org/I92446798","display_name":"Colorado State University","ror":"https://ror.org/03k1gpj17","country_code":"US","type":"education","lineage":["https://openalex.org/I92446798"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lara Kassab","raw_affiliation_strings":["Department of Mathematics, Colorado State University, Fort Collins, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Colorado State University, Fort Collins, USA","institution_ids":["https://openalex.org/I92446798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018524538","display_name":"Henry Adams","orcid":"https://orcid.org/0000-0003-0914-6316"},"institutions":[{"id":"https://openalex.org/I92446798","display_name":"Colorado State University","ror":"https://ror.org/03k1gpj17","country_code":"US","type":"education","lineage":["https://openalex.org/I92446798"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Henry Adams","raw_affiliation_strings":["Department of Mathematics, Colorado State University, Fort Collins, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Colorado State University, Fort Collins, USA","institution_ids":["https://openalex.org/I92446798"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024153474","display_name":"Deanna Needell","orcid":"https://orcid.org/0000-0002-8058-8638"},"institutions":[{"id":"https://openalex.org/I92446798","display_name":"Colorado State University","ror":"https://ror.org/03k1gpj17","country_code":"US","type":"education","lineage":["https://openalex.org/I92446798"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Deanna Needell","raw_affiliation_strings":["Department of Mathematics, Colorado State University, Fort Collins, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Colorado State University, Fort Collins, USA","institution_ids":["https://openalex.org/I92446798"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5003560127"],"corresponding_institution_ids":["https://openalex.org/I92446798"],"apc_list":null,"apc_paid":null,"fwci":0.3521,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.57120153,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"16","issue":null,"first_page":"1451","last_page":"1456"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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":0.998199999332428,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.996399998664856,"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/matrix-completion","display_name":"Matrix completion","score":0.891989529132843},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6606068015098572},{"id":"https://openalex.org/keywords/low-rank-approximation","display_name":"Low-rank approximation","score":0.5764872431755066},{"id":"https://openalex.org/keywords/matrix-norm","display_name":"Matrix norm","score":0.5486125349998474},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.5455685257911682},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5226176381111145},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.519568681716919},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.49147117137908936},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.48601776361465454},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.4240609407424927},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4199150800704956},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2150638997554779},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21281588077545166}],"concepts":[{"id":"https://openalex.org/C2778459887","wikidata":"https://www.wikidata.org/wiki/Q6787865","display_name":"Matrix completion","level":3,"score":0.891989529132843},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6606068015098572},{"id":"https://openalex.org/C90199385","wikidata":"https://www.wikidata.org/wiki/Q6692777","display_name":"Low-rank approximation","level":3,"score":0.5764872431755066},{"id":"https://openalex.org/C92207270","wikidata":"https://www.wikidata.org/wiki/Q939253","display_name":"Matrix norm","level":3,"score":0.5486125349998474},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.5455685257911682},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5226176381111145},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.519568681716919},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.49147117137908936},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.48601776361465454},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4240609407424927},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4199150800704956},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2150638997554779},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21281588077545166},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C25023664","wikidata":"https://www.wikidata.org/wiki/Q1575637","display_name":"Hankel matrix","level":2,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf51394.2020.9443283","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf51394.2020.9443283","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1604604340","https://openalex.org/W2003753589","https://openalex.org/W2054141820","https://openalex.org/W2061212083","https://openalex.org/W2077430220","https://openalex.org/W2117756735","https://openalex.org/W2118425803","https://openalex.org/W2118550318","https://openalex.org/W2119883478","https://openalex.org/W2134332047","https://openalex.org/W2136912397","https://openalex.org/W2167758305","https://openalex.org/W2341535507","https://openalex.org/W2601085511","https://openalex.org/W2611328865","https://openalex.org/W2895386514","https://openalex.org/W2902112793","https://openalex.org/W2952613481","https://openalex.org/W2963603703","https://openalex.org/W2963705450","https://openalex.org/W2963861529","https://openalex.org/W2971098996","https://openalex.org/W3015031642","https://openalex.org/W3035339666","https://openalex.org/W3104624268","https://openalex.org/W3212514852","https://openalex.org/W4376551371","https://openalex.org/W6636014196","https://openalex.org/W6636904114","https://openalex.org/W6677493787","https://openalex.org/W6680391196","https://openalex.org/W6684756083","https://openalex.org/W6703949738","https://openalex.org/W6779813650","https://openalex.org/W6852927032"],"related_works":["https://openalex.org/W3038662035","https://openalex.org/W2883042798","https://openalex.org/W4287125637","https://openalex.org/W152374499","https://openalex.org/W2937213686","https://openalex.org/W3011302148","https://openalex.org/W4288366574","https://openalex.org/W1994719275","https://openalex.org/W2584652887","https://openalex.org/W2062892927"],"abstract_inverted_index":{"Matrix":[0],"completion":[1,21,51,88],"is":[2,30,66],"the":[3,44,62,103,117,120,125],"task":[4],"of":[5,9,14,18,102,119],"predicting":[6],"missing":[7,63],"entries":[8],"matrix":[10,20,50,87],"from":[11],"a":[12,41],"subset":[13],"known":[15],"entries.":[16],"Notions":[17],"structured":[19,130],"include":[22],"any":[23],"setting":[24],"in":[25,61,69,129],"which":[26,65],"whether":[27],"an":[28,78,98],"entry":[29],"observed":[31],"does":[32],"not":[33],"occur":[34],"uniformly":[35],"at":[36],"random.":[37],"In":[38,72],"recent":[39],"work,":[40,74],"modification":[42],"to":[43,55,89,124],"standard":[45,126],"nuclear":[46],"norm":[47],"minimization":[48],"for":[49,85],"has":[52],"been":[53],"made":[54],"take":[56,90],"into":[57,91],"account":[58,92],"sparsity-based":[59,93],"structure":[60],"entries,":[64],"motivated":[67],"e.g.":[68],"recommender":[70],"systems.":[71],"this":[73],"we":[75,111],"propose":[76],"adjusting":[77],"Iteratively":[79],"Reweighted":[80],"Least":[81],"Squares":[82],"(IRLS)":[83],"algorithm":[84,104,128],"low-rank":[86],"structure.":[94],"We":[95],"also":[96],"outline":[97],"iterative":[99],"gradient-projection-based":[100],"implementation":[101],"that":[105],"can":[106],"handle":[107],"large-scale":[108],"matrices.":[109],"Lastly,":[110],"present":[112],"preliminary":[113],"numerical":[114],"experiments":[115],"showcasing":[116],"performance":[118],"proposed":[121],"method":[122],"compared":[123],"IRLS":[127],"settings.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
