{"id":"https://openalex.org/W3034674054","doi":"https://doi.org/10.1109/sam48682.2020.9104278","title":"Distributed Nonnegative Tensor Canonical Polyadic Decomposition With Automatic Rank Determination","display_name":"Distributed Nonnegative Tensor Canonical Polyadic Decomposition With Automatic Rank Determination","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3034674054","doi":"https://doi.org/10.1109/sam48682.2020.9104278","mag":"3034674054"},"language":"en","primary_location":{"id":"doi:10.1109/sam48682.2020.9104278","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sam48682.2020.9104278","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100625462","display_name":"Lei Cheng","orcid":"https://orcid.org/0000-0002-0097-0547"},"institutions":[{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Cheng","raw_affiliation_strings":["Shenzhen Research Institute of Big Data"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute of Big Data","institution_ids":["https://openalex.org/I4210099586"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077002983","display_name":"Xueke Tong","orcid":null},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xueke Tong","raw_affiliation_strings":["The University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085964667","display_name":"Yik\u2010Chung Wu","orcid":"https://orcid.org/0000-0002-2738-0387"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yik-Chung Wu","raw_affiliation_strings":["The University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4083,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.46875,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"5"},"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"}}],"keywords":[{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.7008877992630005},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6877530813217163},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6736522316932678},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6573318243026733},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5909124612808228},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5842688679695129},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5352984070777893},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4610539972782135},{"id":"https://openalex.org/keywords/tensor-decomposition","display_name":"Tensor decomposition","score":0.41200006008148193},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40676945447921753},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.38404279947280884},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3144585192203522},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25559890270233154}],"concepts":[{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.7008877992630005},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6877530813217163},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6736522316932678},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6573318243026733},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5909124612808228},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5842688679695129},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5352984070777893},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4610539972782135},{"id":"https://openalex.org/C2986737658","wikidata":"https://www.wikidata.org/wiki/Q30103009","display_name":"Tensor decomposition","level":3,"score":0.41200006008148193},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40676945447921753},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.38404279947280884},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3144585192203522},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25559890270233154},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sam48682.2020.9104278","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sam48682.2020.9104278","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1246381107","https://openalex.org/W1682665945","https://openalex.org/W1969825914","https://openalex.org/W2024165284","https://openalex.org/W2071729267","https://openalex.org/W2119412403","https://openalex.org/W2120340025","https://openalex.org/W2127941149","https://openalex.org/W2147512299","https://openalex.org/W2149140091","https://openalex.org/W2149699997","https://openalex.org/W2515303911","https://openalex.org/W2753916251","https://openalex.org/W2886524651","https://openalex.org/W4230644847","https://openalex.org/W4254313632","https://openalex.org/W4293052541","https://openalex.org/W6679154944","https://openalex.org/W6750230808"],"related_works":["https://openalex.org/W2163814182","https://openalex.org/W2950186459","https://openalex.org/W2170114491","https://openalex.org/W2897298721","https://openalex.org/W2242624680","https://openalex.org/W2136127937","https://openalex.org/W4290987221","https://openalex.org/W2216309014","https://openalex.org/W2569661359","https://openalex.org/W3199841771"],"abstract_inverted_index":{"Nonnegative":[0],"tensor":[1,26,87],"canonical":[2],"polyadic":[3],"decomposition":[4],"(CPD)":[5],"has":[6],"found":[7],"wide-spread":[8],"applications":[9],"in":[10,103],"various":[11],"signal":[12],"processing":[13],"tasks.":[14],"However,":[15],"the":[16,23,39,48,65,96,100],"implementation":[17,72],"of":[18,25,58,99,105],"most":[19],"existing":[20],"algorithms":[21,102],"needs":[22],"knowledge":[24],"rank,":[27],"which":[28],"is":[29,50,78],"difficult":[30],"to":[31,63,68,82,94],"acquire.":[32],"To":[33],"address":[34],"this":[35],"issue,":[36],"by":[37],"interpreting":[38],"nonnegative":[40,86],"CPD":[41,88],"problem":[42,49],"using":[43],"probability":[44],"density":[45],"functions":[46],"(pdfs),":[47],"recasted":[51],"as":[52],"probabilistic":[53,85],"inference":[54,66],"with":[55],"integrated":[56],"feature":[57],"automatic":[59],"rank":[60],"determination.":[61],"Furthermore,":[62],"scale":[64],"algorithm":[67],"massive":[69],"data,":[70],"its":[71],"under":[73],"modern":[74],"distributed":[75,84],"computing":[76],"architecture":[77],"investigated,":[79],"giving":[80],"rise":[81],"a":[83],"algorithm.":[89],"Numerical":[90],"studies":[91],"are":[92],"presented":[93],"show":[95],"remarkable":[97],"performance":[98],"proposed":[101],"terms":[104],"accuracy":[106],"and":[107],"scalability.":[108]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}