{"id":"https://openalex.org/W2406917567","doi":"https://doi.org/10.1007/978-3-319-22482-4_42","title":"Convex Recovery of Tensors Using Nuclear Norm Penalization","display_name":"Convex Recovery of Tensors Using Nuclear Norm Penalization","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2406917567","doi":"https://doi.org/10.1007/978-3-319-22482-4_42","mag":"2406917567"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-22482-4_42","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-22482-4_42","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5059835438","display_name":"St\u00e9phane Chr\u00e9tien","orcid":"https://orcid.org/0000-0002-4544-1315"},"institutions":[{"id":"https://openalex.org/I90843659","display_name":"Universit\u00e9 de franche-comt\u00e9","ror":"https://ror.org/03pcc9z86","country_code":"FR","type":"education","lineage":["https://openalex.org/I90843659"]},{"id":"https://openalex.org/I4210155549","display_name":"Laboratoire de Math\u00e9matiques","ror":"https://ror.org/05sd5r855","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I198244214","https://openalex.org/I4210141950","https://openalex.org/I4210155549"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"St\u00e9phane Chr\u00e9tien","raw_affiliation_strings":["Laboratoire de Math\u00e9matiques de Besancon, Universit\u00e9 de Franche-Comt\u00e9, 16 Route de Gray, 25000, Besancon, France"],"affiliations":[{"raw_affiliation_string":"Laboratoire de Math\u00e9matiques de Besancon, Universit\u00e9 de Franche-Comt\u00e9, 16 Route de Gray, 25000, Besancon, France","institution_ids":["https://openalex.org/I90843659","https://openalex.org/I4210155549"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059823838","display_name":"Tianwen Wei","orcid":"https://orcid.org/0000-0001-7488-5727"},"institutions":[{"id":"https://openalex.org/I4210155549","display_name":"Laboratoire de Math\u00e9matiques","ror":"https://ror.org/05sd5r855","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I198244214","https://openalex.org/I4210141950","https://openalex.org/I4210155549"]},{"id":"https://openalex.org/I90843659","display_name":"Universit\u00e9 de franche-comt\u00e9","ror":"https://ror.org/03pcc9z86","country_code":"FR","type":"education","lineage":["https://openalex.org/I90843659"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Tianwen Wei","raw_affiliation_strings":["Laboratoire de Math\u00e9matiques de Besancon, Universit\u00e9 de Franche-Comt\u00e9, 16 Route de Gray, 25000, Besancon, France"],"affiliations":[{"raw_affiliation_string":"Laboratoire de Math\u00e9matiques de Besancon, Universit\u00e9 de Franche-Comt\u00e9, 16 Route de Gray, 25000, Besancon, France","institution_ids":["https://openalex.org/I90843659","https://openalex.org/I4210155549"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5059835438"],"corresponding_institution_ids":["https://openalex.org/I4210155549","https://openalex.org/I90843659"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.22,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"360","last_page":"367"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994000196456909,"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/T10792","display_name":"Matrix Theory and Algorithms","score":0.995199978351593,"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/matrix-norm","display_name":"Matrix norm","score":0.8449601531028748},{"id":"https://openalex.org/keywords/subderivative","display_name":"Subderivative","score":0.6758444309234619},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6154891848564148},{"id":"https://openalex.org/keywords/convex-analysis","display_name":"Convex analysis","score":0.5767333507537842},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.5731045007705688},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5546494722366333},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5153048038482666},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.5144665241241455},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.47047072649002075},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.43556129932403564},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.431964635848999},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4303392767906189},{"id":"https://openalex.org/keywords/singular-value","display_name":"Singular value","score":0.42951256036758423},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.41135770082473755},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3998130261898041},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.30582404136657715},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.11428430676460266},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.11327508091926575},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.09677386283874512},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07113254070281982}],"concepts":[{"id":"https://openalex.org/C92207270","wikidata":"https://www.wikidata.org/wiki/Q939253","display_name":"Matrix norm","level":3,"score":0.8449601531028748},{"id":"https://openalex.org/C200661725","wikidata":"https://www.wikidata.org/wiki/Q289500","display_name":"Subderivative","level":4,"score":0.6758444309234619},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6154891848564148},{"id":"https://openalex.org/C12108790","wikidata":"https://www.wikidata.org/wiki/Q2234833","display_name":"Convex analysis","level":4,"score":0.5767333507537842},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.5731045007705688},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5546494722366333},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5153048038482666},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.5144665241241455},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.47047072649002075},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.43556129932403564},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.431964635848999},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4303392767906189},{"id":"https://openalex.org/C109282560","wikidata":"https://www.wikidata.org/wiki/Q4166054","display_name":"Singular value","level":3,"score":0.42951256036758423},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.41135770082473755},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3998130261898041},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.30582404136657715},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.11428430676460266},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.11327508091926575},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.09677386283874512},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07113254070281982},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-22482-4_42","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-22482-4_42","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.41999998688697815,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W756991363","https://openalex.org/W1545748428","https://openalex.org/W1684009677","https://openalex.org/W2024165284","https://openalex.org/W2102892751","https://openalex.org/W2149934276","https://openalex.org/W2269710820","https://openalex.org/W6738553186"],"related_works":["https://openalex.org/W2007576447","https://openalex.org/W4366831400","https://openalex.org/W2158044763","https://openalex.org/W4298234822","https://openalex.org/W2782047334","https://openalex.org/W2356261519","https://openalex.org/W2137493863","https://openalex.org/W3017414697","https://openalex.org/W2040676043","https://openalex.org/W2051968184"],"abstract_inverted_index":null,"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}