{"id":"https://openalex.org/W3034407279","doi":"https://doi.org/10.1109/msp.2020.3003544","title":"Nonconvex Optimization Tools for Large-Scale Matrix and Tensor Decomposition with Structured Factors.","display_name":"Nonconvex Optimization Tools for Large-Scale Matrix and Tensor Decomposition with Structured Factors.","publication_year":2020,"publication_date":"2020-06-15","ids":{"openalex":"https://openalex.org/W3034407279","doi":"https://doi.org/10.1109/msp.2020.3003544","mag":"3034407279"},"language":"en","primary_location":{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/656741","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/123456789/656741","pdf_url":null,"source":{"id":"https://openalex.org/S7407055369","display_name":"Lirias","issn_l":null,"issn":null,"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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Ieee Signal Processing Magazine, vol. 37 (5), (78-94)","raw_type":"info:eu-repo/semantics/article"},"type":"article","indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://lirias.kuleuven.be/handle/123456789/656741","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015075381","display_name":"Xiao Fu","orcid":"https://orcid.org/0000-0003-4847-9586"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiao Fu","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-4847-9586","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003192020","display_name":"Nico Vervliet","orcid":"https://orcid.org/0000-0003-3006-4155"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nico Vervliet","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-3006-4155","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009006026","display_name":"Lieven De Lathauwer","orcid":"https://orcid.org/0000-0001-5562-5014"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lieven De Lathauwer","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-5562-5014","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002695199","display_name":"Kejun Huang","orcid":"https://orcid.org/0000-0002-6460-6365"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kejun Huang","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-6460-6365","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5040368041","display_name":"Nicolas Gillis","orcid":"https://orcid.org/0000-0001-6423-6897"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nicolas Gillis","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-6423-6897","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2396,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.41973244,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9991000294685364,"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":0.9958999752998352,"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/coordinate-descent","display_name":"Coordinate descent","score":0.7441626191139221},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.6908218860626221},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.6187572479248047},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5886436700820923},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5314898490905762},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4641363024711609},{"id":"https://openalex.org/keywords/dixons-factorization-method","display_name":"Dixon's factorization method","score":0.4638891816139221},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.4288065433502197},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.4244571924209595},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.39402857422828674},{"id":"https://openalex.org/keywords/incomplete-lu-factorization","display_name":"Incomplete LU factorization","score":0.36061856150627136},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3379296660423279},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3122366666793823}],"concepts":[{"id":"https://openalex.org/C157553263","wikidata":"https://www.wikidata.org/wiki/Q5168004","display_name":"Coordinate descent","level":2,"score":0.7441626191139221},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.6908218860626221},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.6187572479248047},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5886436700820923},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5314898490905762},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4641363024711609},{"id":"https://openalex.org/C137559481","wikidata":"https://www.wikidata.org/wiki/Q1231787","display_name":"Dixon's factorization method","level":5,"score":0.4638891816139221},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.4288065433502197},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.4244571924209595},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.39402857422828674},{"id":"https://openalex.org/C134978465","wikidata":"https://www.wikidata.org/wiki/Q1654069","display_name":"Incomplete LU factorization","level":4,"score":0.36061856150627136},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3379296660423279},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3122366666793823},{"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/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},{"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":3,"locations":[{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/656741","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/123456789/656741","pdf_url":null,"source":{"id":"https://openalex.org/S7407055369","display_name":"Lirias","issn_l":null,"issn":null,"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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Ieee Signal Processing Magazine, vol. 37 (5), (78-94)","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:orbi.umons.ac.be:20.500.12907/42317","is_oa":true,"landing_page_url":"https://orbi.umons.ac.be/handle/20.500.12907/42317","pdf_url":"https://orbi.umons.ac.be/bitstream/20.500.12907/42317/1/51_Computing_Large-Scale_Matrix_and_Tensor_Decomposition_With_Structured_Factors_-_A_Unified_Nonconvex_Optimization_Perspective.pdf","source":{"id":"https://openalex.org/S7407055454","display_name":"ORBi UMONS","issn_l":null,"issn":null,"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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Signal Processing Magazine, 37 (5), 78-94 (2020-09-10)","raw_type":"http://purl.org/coar/resource_type/c_6501"},{"id":"mag:3034407279","is_oa":true,"landing_page_url":"https://arxiv.org/abs/2006.08183v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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}],"best_oa_location":{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/656741","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/123456789/656741","pdf_url":null,"source":{"id":"https://openalex.org/S7407055369","display_name":"Lirias","issn_l":null,"issn":null,"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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Ieee Signal Processing Magazine, vol. 37 (5), (78-94)","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.41999998688697815,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G1451640967","display_name":null,"funder_award_id":"W911NF19-1-0407","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G2227225954","display_name":"Robust and Scalable Volume Minimization-based Matrix Factorization for Sensing and Clustering","funder_award_id":"1608961","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2275819351","display_name":null,"funder_award_id":"ARO W911NF-19-1-0247","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G2279853913","display_name":null,"funder_award_id":"W911NF-19-1","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G2447842959","display_name":"Constrained decompositions of explicitly or implicitly given tensors","funder_award_id":"12ZM220N","funder_id":"https://openalex.org/F4320321730","funder_display_name":"Fonds Wetenschappelijk Onderzoek"},{"id":"https://openalex.org/G2787453302","display_name":"Structured Low-Rank matrix / tensor approximation: numerical optimization-based algorithms and applications","funder_award_id":"30468160","funder_id":"https://openalex.org/F4320321730","funder_display_name":"Fonds Wetenschappelijk Onderzoek"},{"id":"https://openalex.org/G3273006971","display_name":"III: Small: Statistical Low-Rank Factorization Tools for Ecological Network Link Prediction","funder_award_id":"1910118","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G608057831","display_name":null,"funder_award_id":"W911NF-19","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7056406115","display_name":"Collaborative Research: Multimodal Sensing and Analytics at Scale: Algorithms and Applications","funder_award_id":"1808159","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7230826583","display_name":null,"funder_award_id":"W911NF-19-1-0247","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G7452299184","display_name":null,"funder_award_id":"W911NF","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G7955849009","display_name":null,"funder_award_id":"ARO W911NF-19-1-0407","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8415477955","display_name":null,"funder_award_id":"W911NF-19","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G947810323","display_name":null,"funder_award_id":"ARO W911NF-19-1-0407","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321730","display_name":"Fonds Wetenschappelijk Onderzoek","ror":"https://ror.org/03qtxy027"},{"id":"https://openalex.org/F4320322308","display_name":"KU Leuven","ror":"https://ror.org/05f950310"},{"id":"https://openalex.org/F4320327336","display_name":"Vlaamse regering","ror":null},{"id":"https://openalex.org/F4320337392","display_name":"Division of Electrical, Communications and Cyber Systems","ror":"https://ror.org/01krpsy48"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W50417968","https://openalex.org/W343638764","https://openalex.org/W1562564874","https://openalex.org/W1854811422","https://openalex.org/W1964650132","https://openalex.org/W1968154520","https://openalex.org/W1974785908","https://openalex.org/W1980906180","https://openalex.org/W1989811026","https://openalex.org/W2022712430","https://openalex.org/W2024165284","https://openalex.org/W2024166170","https://openalex.org/W2039844283","https://openalex.org/W2050968963","https://openalex.org/W2066392792","https://openalex.org/W2075427932","https://openalex.org/W2076214866","https://openalex.org/W2076566842","https://openalex.org/W2079705627","https://openalex.org/W2105724942","https://openalex.org/W2110096996","https://openalex.org/W2119412403","https://openalex.org/W2121739212","https://openalex.org/W2124172487","https://openalex.org/W2144070955","https://openalex.org/W2155151262","https://openalex.org/W2163927692","https://openalex.org/W2172195418","https://openalex.org/W2191558661","https://openalex.org/W2294755503","https://openalex.org/W2296319761","https://openalex.org/W2469230926","https://openalex.org/W2513096609","https://openalex.org/W2566771666","https://openalex.org/W2601846890","https://openalex.org/W2798766386","https://openalex.org/W2944211990","https://openalex.org/W2955062282","https://openalex.org/W2955787666","https://openalex.org/W2963264932","https://openalex.org/W2964313686","https://openalex.org/W2969945254","https://openalex.org/W2970585637","https://openalex.org/W2989504803","https://openalex.org/W3003759898","https://openalex.org/W3012526467","https://openalex.org/W3022422766","https://openalex.org/W3099843321","https://openalex.org/W3102869303","https://openalex.org/W3106276562","https://openalex.org/W3122766110","https://openalex.org/W3143596294"],"related_works":["https://openalex.org/W3047477789","https://openalex.org/W2979511256","https://openalex.org/W3197526405","https://openalex.org/W3185090409","https://openalex.org/W2769660485","https://openalex.org/W80931213","https://openalex.org/W2622053876","https://openalex.org/W3099560202","https://openalex.org/W2528674465","https://openalex.org/W3122062812","https://openalex.org/W3112410551","https://openalex.org/W3089271442","https://openalex.org/W2944211990","https://openalex.org/W55400630","https://openalex.org/W2740905535","https://openalex.org/W1782251387","https://openalex.org/W247176022","https://openalex.org/W1499520404","https://openalex.org/W2591891541","https://openalex.org/W2907599741"],"abstract_inverted_index":{"peer":[0],"reviewed":[1]},"counts_by_year":[{"year":2021,"cited_by_count":2}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}