{"id":"https://openalex.org/W2809977808","doi":"https://doi.org/10.1109/lsp.2018.2852490","title":"A Computationally Efficient Tensor Completion Algorithm","display_name":"A Computationally Efficient Tensor Completion Algorithm","publication_year":2018,"publication_date":"2018-07-02","ids":{"openalex":"https://openalex.org/W2809977808","doi":"https://doi.org/10.1109/lsp.2018.2852490","mag":"2809977808"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2018.2852490","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2018.2852490","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/A5048310413","display_name":"Ioannis Tsaknakis","orcid":"https://orcid.org/0000-0002-1136-055X"},"institutions":[{"id":"https://openalex.org/I4210118731","display_name":"National Observatory of Athens","ror":"https://ror.org/03dtebk39","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210118731"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Ioannis C. Tsaknakis","raw_affiliation_strings":["Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens, Penteli, Greece"],"affiliations":[{"raw_affiliation_string":"Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens, Penteli, Greece","institution_ids":["https://openalex.org/I4210118731"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075524987","display_name":"Paris V. Giampouras","orcid":"https://orcid.org/0000-0003-2039-0758"},"institutions":[{"id":"https://openalex.org/I4210118731","display_name":"National Observatory of Athens","ror":"https://ror.org/03dtebk39","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210118731"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Paris V. Giampouras","raw_affiliation_strings":["Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens, Penteli, Greece"],"affiliations":[{"raw_affiliation_string":"Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens, Penteli, Greece","institution_ids":["https://openalex.org/I4210118731"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081131282","display_name":"Athanasios A. Rontogiannis","orcid":"https://orcid.org/0000-0001-6161-4055"},"institutions":[{"id":"https://openalex.org/I4210118731","display_name":"National Observatory of Athens","ror":"https://ror.org/03dtebk39","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210118731"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Athanasios A. Rontogiannis","raw_affiliation_strings":["Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens, Penteli, Greece"],"affiliations":[{"raw_affiliation_string":"Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens, Penteli, Greece","institution_ids":["https://openalex.org/I4210118731"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014467125","display_name":"Konstantinos Koutroumbas","orcid":"https://orcid.org/0000-0002-8480-1539"},"institutions":[{"id":"https://openalex.org/I4210118731","display_name":"National Observatory of Athens","ror":"https://ror.org/03dtebk39","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210118731"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Konstantinos D. Koutroumbas","raw_affiliation_strings":["Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens, Penteli, Greece"],"affiliations":[{"raw_affiliation_string":"Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens, Penteli, Greece","institution_ids":["https://openalex.org/I4210118731"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5048310413"],"corresponding_institution_ids":["https://openalex.org/I4210118731"],"apc_list":null,"apc_paid":null,"fwci":0.8806,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.66758242,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"25","issue":"8","first_page":"1266","last_page":"1270"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":1.0,"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":1.0,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9635999798774719,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10792","display_name":"Matrix Theory and Algorithms","score":0.960099995136261,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/computer-science","display_name":"Computer science","score":0.6575964093208313},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6440559029579163},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6377929449081421},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.6142452955245972},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.6044087409973145},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.5506668090820312},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4854762852191925},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25164952874183655}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6575964093208313},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6440559029579163},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6377929449081421},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.6142452955245972},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.6044087409973145},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.5506668090820312},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4854762852191925},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25164952874183655},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2018.2852490","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2018.2852490","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1521672915","https://openalex.org/W1885765327","https://openalex.org/W2078677240","https://openalex.org/W2079705627","https://openalex.org/W2082600181","https://openalex.org/W2102937240","https://openalex.org/W2105724942","https://openalex.org/W2132639093","https://openalex.org/W2210084516","https://openalex.org/W2412278696","https://openalex.org/W2469230926","https://openalex.org/W2582503872","https://openalex.org/W2592246176","https://openalex.org/W2763766716","https://openalex.org/W2963328634","https://openalex.org/W6631323259","https://openalex.org/W6676039487","https://openalex.org/W6745078626"],"related_works":["https://openalex.org/W2389214306","https://openalex.org/W4235240664","https://openalex.org/W2965083567","https://openalex.org/W1838576100","https://openalex.org/W2095886385","https://openalex.org/W2889616422","https://openalex.org/W2089704382","https://openalex.org/W1983399550","https://openalex.org/W97075385","https://openalex.org/W2357523926"],"abstract_inverted_index":{"We":[0],"introduce":[1],"a":[2,8,27],"tensor":[3],"completion":[4],"algorithm":[5,79],"that":[6,24],"uses":[7],"group-sparse":[9],"regularizer":[10],"with":[11,82],"respect":[12],"to":[13,49],"the":[14,32,43,69,77,83],"PARAFAC":[15,44],"factors":[16,45],"and":[17,52,65],"is":[18],"based":[19],"on":[20,62],"an":[21,50],"optimization":[22],"scheme":[23,38],"alternatingly":[25],"minimizes":[26],"quadratic":[28],"upper":[29],"bound":[30],"of":[31,42,74,76],"associated":[33],"cost":[34],"function.":[35],"The":[36],"proposed":[37,78],"allows":[39],"matrixwise":[40],"updates":[41],"and,":[46],"thus,":[47],"leads":[48],"efficient":[51],"scalable":[53],"iterative":[54],"algorithm,":[55],"suitable":[56],"for":[57],"big-data":[58],"applications.":[59],"Experiments":[60],"conducted":[61],"both":[63],"synthetic":[64],"real":[66],"data,":[67],"corroborate":[68],"superior":[70],"performance,":[71],"in":[72],"terms":[73],"runtime,":[75],"as":[80],"compared":[81],"other":[84],"state-of-the-art":[85],"approaches.":[86]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}