{"id":"https://openalex.org/W3148968382","doi":"https://doi.org/10.1109/jstsp.2021.3065184","title":"Introduction to the Special Issue on Tensor Decomposition for Signal Processing and Machine Learning","display_name":"Introduction to the Special Issue on Tensor Decomposition for Signal Processing and Machine Learning","publication_year":2021,"publication_date":"2021-04-01","ids":{"openalex":"https://openalex.org/W3148968382","doi":"https://doi.org/10.1109/jstsp.2021.3065184","mag":"3148968382"},"language":"en","primary_location":{"id":"doi:10.1109/jstsp.2021.3065184","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstsp.2021.3065184","pdf_url":"https://ieeexplore.ieee.org/ielx7/4200690/9393360/09393485.pdf","source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"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":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ieeexplore.ieee.org/ielx7/4200690/9393360/09393485.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008473103","display_name":"Hongyang Chen","orcid":"https://orcid.org/0000-0002-7626-0162"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongyang Chen","raw_affiliation_strings":["Research Center for Intelligent Network, Zhejiang Lab, China"],"affiliations":[{"raw_affiliation_string":"Research Center for Intelligent Network, Zhejiang Lab, China","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055234860","display_name":"Sergiy A. Vorobyov","orcid":"https://orcid.org/0000-0001-7249-647X"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Sergiy A. Vorobyov","raw_affiliation_strings":["Department of Signal Processing and Acoustics, Aalto University, Finland"],"affiliations":[{"raw_affiliation_string":"Department of Signal Processing and Acoustics, Aalto University, Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082563150","display_name":"Hing Cheung So","orcid":"https://orcid.org/0000-0001-8396-7898"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hing Cheung So","raw_affiliation_strings":["Department of Electrical Engineering, City University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083732517","display_name":"Fauzia Ahmad","orcid":"https://orcid.org/0000-0002-1446-5154"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fauzia Ahmad","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Temple University, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Temple University, USA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038550641","display_name":"Fatih Porikli","orcid":"https://orcid.org/0000-0002-1520-4466"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Fatih Porikli","raw_affiliation_strings":["Reseach School of Engineering, Australian National University, Australia"],"affiliations":[{"raw_affiliation_string":"Reseach School of Engineering, Australian National University, Australia","institution_ids":["https://openalex.org/I118347636"]}]}],"institutions":[],"countries_distinct_count":5,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5008473103"],"corresponding_institution_ids":["https://openalex.org/I4210123185"],"apc_list":null,"apc_paid":null,"fwci":0.1368,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.32100239,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"15","issue":"3","first_page":"433","last_page":"437"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9886999726295471,"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":0.9886999726295471,"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/T13650","display_name":"Computational Physics and Python Applications","score":0.9621999859809875,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6918544769287109},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5366861820220947},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5261280536651611},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5139467120170593},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4791138172149658},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.46705353260040283},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4266309142112732},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3848925232887268},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1895892322063446},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.16730156540870667}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6918544769287109},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5366861820220947},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5261280536651611},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5139467120170593},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4791138172149658},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.46705353260040283},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4266309142112732},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3848925232887268},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1895892322063446},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.16730156540870667},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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":2,"locations":[{"id":"doi:10.1109/jstsp.2021.3065184","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstsp.2021.3065184","pdf_url":"https://ieeexplore.ieee.org/ielx7/4200690/9393360/09393485.pdf","source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"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":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:openresearch-repository.anu.edu.au:1885/317485","is_oa":false,"landing_page_url":"http://hdl.handle.net/1885/317485","pdf_url":null,"source":{"id":"https://openalex.org/S4306402539","display_name":"ANU Open Research (Australian National University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I118347636","host_organization_name":"Australian National University","host_organization_lineage":["https://openalex.org/I118347636"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal on Selected Topics in Signal Processing","raw_type":"Journal article"}],"best_oa_location":{"id":"doi:10.1109/jstsp.2021.3065184","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstsp.2021.3065184","pdf_url":"https://ieeexplore.ieee.org/ielx7/4200690/9393360/09393485.pdf","source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"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":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3148968382.pdf","grobid_xml":"https://content.openalex.org/works/W3148968382.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3176621072","https://openalex.org/W2995475466","https://openalex.org/W2356785732","https://openalex.org/W4239033281","https://openalex.org/W4380789568","https://openalex.org/W3105745662","https://openalex.org/W4210430843","https://openalex.org/W2571325231","https://openalex.org/W4379523021","https://openalex.org/W2882991075"],"abstract_inverted_index":{"The":[0,115],"papers":[1],"in":[2,35,60,85,126],"this":[3,86],"special":[4],"section":[5],"focus":[6],"on":[7,152],"tensor":[8,20,104,107,142],"decomposition":[9],"for":[10,24],"signal":[11,36],"processing":[12,37],"and":[13,26,54,74,99,109,121,130,141,156],"machine":[14,44],"learning.":[15],"Tensor":[16,30],"decomposition,":[17],"also":[18],"called":[19],"factorization,":[21],"is":[22],"useful":[23],"representing":[25],"analyzing":[27],"multi-dimensional":[28,116],"data.":[29],"decompositions":[31],"have":[32],"been":[33,82],"applied":[34],"applications":[38],"(speech,":[39],"acoustics,":[40],"communications,":[41],"radar,":[42],"biomedicine),":[43],"learning":[45,61],"(clustering,":[46],"dimensionality":[47],"reduction,":[48],"latent":[49],"factor":[50],"models,":[51,65,68],"subspace":[52],"learning),":[53],"well":[55],"beyond.":[56],"These":[57],"tools":[58],"aid":[59],"a":[62],"variety":[63],"of":[64,113,118,147],"including":[66],"community":[67],"probabilistic":[69],"context-free-grammars,":[70],"Gaussian":[71],"mixture":[72],"model,":[73],"two-layer":[75],"neural":[76],"networks.":[77],"Although":[78],"considerable":[79],"research":[80],"has":[81],"carried":[83],"out":[84],"area,":[87],"there":[88],"are":[89],"many":[90],"challenges":[91],"still":[92],"outstanding":[93],"that":[94],"need":[95],"to":[96,137],"be":[97],"explored":[98],"addressed;":[100],"some":[101],"examples":[102],"being":[103],"deflation,":[105],"massive":[106],"decompositions,":[108],"high":[110],"computational":[111],"cost":[112],"algorithms.":[114],"nature":[117],"the":[119,145,149],"signals":[120],"even":[122],"\u201cbigger\u201d":[123],"data,":[124],"particularly":[125],"next-generation":[127],"advanced":[128],"information":[129],"communication":[131],"technology":[132],"systems,":[133],"provide":[134],"good":[135],"opportunities":[136],"exploit":[138],"tensor-based":[139],"models":[140],"networks,":[143],"with":[144],"aim":[146],"meeting":[148],"strong":[150],"requirements":[151],"system":[153],"flexibility,":[154],"convergence,":[155],"efficiency.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
