{"id":"https://openalex.org/W2078952786","doi":"https://doi.org/10.1007/s10489-010-0220-9","title":"On the equivalence between nonnegative tensor factorization and\u00a0tensorial probabilistic latent semantic analysis","display_name":"On the equivalence between nonnegative tensor factorization and\u00a0tensorial probabilistic latent semantic analysis","publication_year":2010,"publication_date":"2010-03-23","ids":{"openalex":"https://openalex.org/W2078952786","doi":"https://doi.org/10.1007/s10489-010-0220-9","mag":"2078952786"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-010-0220-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-010-0220-9","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","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/A5019479187","display_name":"Wei Peng","orcid":"https://orcid.org/0000-0002-2892-5764"},"institutions":[{"id":"https://openalex.org/I33976269","display_name":"Xerox (France)","ror":"https://ror.org/033q0mv79","country_code":"FR","type":"company","lineage":["https://openalex.org/I33976269","https://openalex.org/I4210132870"]},{"id":"https://openalex.org/I4210132870","display_name":"Xerox (United States)","ror":"https://ror.org/03jwzwq24","country_code":"US","type":"company","lineage":["https://openalex.org/I4210132870"]}],"countries":["FR","US"],"is_corresponding":false,"raw_author_name":"Wei Peng","raw_affiliation_strings":["Xerox Innovation Group, Xerox Corporation, Rochester, NY, 14580, USA","Xerox Innovation Group, Xerox Corporation, Rochester, USA 14580#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xerox Innovation Group, Xerox Corporation, Rochester, NY, 14580, USA","institution_ids":["https://openalex.org/I33976269","https://openalex.org/I4210132870"]},{"raw_affiliation_string":"Xerox Innovation Group, Xerox Corporation, Rochester, USA 14580#TAB#","institution_ids":["https://openalex.org/I33976269"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100455259","display_name":"Tao Li","orcid":"https://orcid.org/0000-0001-9277-1539"},"institutions":[{"id":"https://openalex.org/I19700959","display_name":"Florida International University","ror":"https://ror.org/02gz6gg07","country_code":"US","type":"education","lineage":["https://openalex.org/I19700959"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tao Li","raw_affiliation_strings":["School of Computer Science, Florida International University, Miami, FL, 33199, USA","School of Computer Science, Florida International Univ., Miami, USA 33199#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Florida International University, Miami, FL, 33199, USA","institution_ids":["https://openalex.org/I19700959"]},{"raw_affiliation_string":"School of Computer Science, Florida International Univ., Miami, USA 33199#TAB#","institution_ids":["https://openalex.org/I19700959"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100455259"],"corresponding_institution_ids":["https://openalex.org/I19700959"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":null,"fwci":0.3021,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.51381215,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"35","issue":"2","first_page":"285","last_page":"295"},"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/T11269","display_name":"Algorithms and Data Compression","score":0.9736999869346619,"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"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9351999759674072,"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/probabilistic-latent-semantic-analysis","display_name":"Probabilistic latent semantic analysis","score":0.950352668762207},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.8409664630889893},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7089229226112366},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.6603208184242249},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5897682905197144},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5358027219772339},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4644966125488281},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.45564162731170654},{"id":"https://openalex.org/keywords/equivalence","display_name":"Equivalence (formal languages)","score":0.44860273599624634},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4412330389022827},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.4228890836238861},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3736840784549713},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23782563209533691}],"concepts":[{"id":"https://openalex.org/C112933361","wikidata":"https://www.wikidata.org/wiki/Q2845258","display_name":"Probabilistic latent semantic analysis","level":2,"score":0.950352668762207},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.8409664630889893},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7089229226112366},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.6603208184242249},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5897682905197144},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5358027219772339},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4644966125488281},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.45564162731170654},{"id":"https://openalex.org/C2780069185","wikidata":"https://www.wikidata.org/wiki/Q7977945","display_name":"Equivalence (formal languages)","level":2,"score":0.44860273599624634},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4412330389022827},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.4228890836238861},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3736840784549713},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23782563209533691},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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:10.1007/s10489-010-0220-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-010-0220-9","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W94565353","https://openalex.org/W206759535","https://openalex.org/W1870083876","https://openalex.org/W1902027874","https://openalex.org/W1966791291","https://openalex.org/W1970273363","https://openalex.org/W1973498652","https://openalex.org/W1974775262","https://openalex.org/W1978376511","https://openalex.org/W1998178423","https://openalex.org/W2000383779","https://openalex.org/W2000911789","https://openalex.org/W2002598080","https://openalex.org/W2013029404","https://openalex.org/W2027559251","https://openalex.org/W2028080169","https://openalex.org/W2029569794","https://openalex.org/W2043545458","https://openalex.org/W2090634555","https://openalex.org/W2107743791","https://openalex.org/W2111363262","https://openalex.org/W2113055885","https://openalex.org/W2119101292","https://openalex.org/W2121739212","https://openalex.org/W2124890708","https://openalex.org/W2134731454","https://openalex.org/W2140862024","https://openalex.org/W2142053236","https://openalex.org/W2144750001","https://openalex.org/W2144920235","https://openalex.org/W2163589210","https://openalex.org/W2168103112","https://openalex.org/W2168175751","https://openalex.org/W2490308495","https://openalex.org/W2571268788","https://openalex.org/W2799061466","https://openalex.org/W2999905431","https://openalex.org/W3143596294","https://openalex.org/W4244494905","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2167353662","https://openalex.org/W2024111953","https://openalex.org/W2133030781","https://openalex.org/W2147339185","https://openalex.org/W2028080169","https://openalex.org/W3190590697","https://openalex.org/W2104247845","https://openalex.org/W2990847243","https://openalex.org/W4213242523","https://openalex.org/W2405459681"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}