{"id":"https://openalex.org/W4383000071","doi":"https://doi.org/10.1109/access.2023.3291744","title":"A New Model for Tensor Completion: Smooth Convolutional Tensor Factorization","display_name":"A New Model for Tensor Completion: Smooth Convolutional Tensor Factorization","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4383000071","doi":"https://doi.org/10.1109/access.2023.3291744"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3291744","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3291744","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10172043.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10172043.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074383599","display_name":"Hiromu Takayama","orcid":"https://orcid.org/0000-0002-8391-1090"},"institutions":[{"id":"https://openalex.org/I197274945","display_name":"Nagoya Institute of Technology","ror":"https://ror.org/055yf1005","country_code":"JP","type":"education","lineage":["https://openalex.org/I197274945"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiromu Takayama","raw_affiliation_strings":["Nagoya Institute of Technology, Nagoya, Japan"],"raw_orcid":"https://orcid.org/0000-0002-8391-1090","affiliations":[{"raw_affiliation_string":"Nagoya Institute of Technology, Nagoya, Japan","institution_ids":["https://openalex.org/I197274945"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039764322","display_name":"Tatsuya Yokota","orcid":"https://orcid.org/0000-0002-7368-2060"},"institutions":[{"id":"https://openalex.org/I197274945","display_name":"Nagoya Institute of Technology","ror":"https://ror.org/055yf1005","country_code":"JP","type":"education","lineage":["https://openalex.org/I197274945"]},{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tatsuya Yokota","raw_affiliation_strings":["Nagoya Institute of Technology, Nagoya, Japan","RIKEN Center for Advanced Intelligence Project, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0002-7368-2060","affiliations":[{"raw_affiliation_string":"Nagoya Institute of Technology, Nagoya, Japan","institution_ids":["https://openalex.org/I197274945"]},{"raw_affiliation_string":"RIKEN Center for Advanced Intelligence Project, Tokyo, Japan","institution_ids":["https://openalex.org/I4210126580"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.1914,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.37651332,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"11","issue":null,"first_page":"67526","last_page":"67539"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9945999979972839,"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/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9696999788284302,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.7252696752548218},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7119708061218262},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6460716724395752},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5085309743881226},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5039553046226501},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.4939168095588684},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4548921287059784},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4380406439304352},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4205770492553711},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36165907979011536},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3286978006362915},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30329275131225586},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27488481998443604}],"concepts":[{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.7252696752548218},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7119708061218262},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6460716724395752},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5085309743881226},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5039553046226501},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.4939168095588684},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4548921287059784},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4380406439304352},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4205770492553711},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36165907979011536},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3286978006362915},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30329275131225586},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27488481998443604},{"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3291744","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3291744","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10172043.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:00f2efbade784c8b9b8cec9f6a58410d","is_oa":true,"landing_page_url":"https://doaj.org/article/00f2efbade784c8b9b8cec9f6a58410d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 67526-67539 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3291744","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3291744","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10172043.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1079151630","display_name":"Optimization Theories, Algorithms, and Interfeces for General Tensor Decompositions","funder_award_id":"23K28109","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G4987551542","display_name":null,"funder_award_id":"23H03419","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G5535017810","display_name":"Tensor Network Representation for Machine Learning: Theoretical Study and Algorithms Development","funder_award_id":"20H04249","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4383000071.pdf","grobid_xml":"https://content.openalex.org/works/W4383000071.grobid-xml"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W1568416770","https://openalex.org/W1850275953","https://openalex.org/W1893463465","https://openalex.org/W1963826206","https://openalex.org/W1968154520","https://openalex.org/W1983576072","https://openalex.org/W1984035260","https://openalex.org/W2000215628","https://openalex.org/W2008114373","https://openalex.org/W2026034143","https://openalex.org/W2027047167","https://openalex.org/W2030928609","https://openalex.org/W2033560557","https://openalex.org/W2078677240","https://openalex.org/W2090963365","https://openalex.org/W2091449379","https://openalex.org/W2097391142","https://openalex.org/W2118550318","https://openalex.org/W2126625374","https://openalex.org/W2141394518","https://openalex.org/W2144920235","https://openalex.org/W2147512299","https://openalex.org/W2149414429","https://openalex.org/W2152886502","https://openalex.org/W2164954534","https://openalex.org/W2342482347","https://openalex.org/W2510030309","https://openalex.org/W2737196263","https://openalex.org/W2760679737","https://openalex.org/W2762772695","https://openalex.org/W2779820900","https://openalex.org/W2794048225","https://openalex.org/W2914592219","https://openalex.org/W2962915592","https://openalex.org/W2963328634","https://openalex.org/W2963472624","https://openalex.org/W2963885538","https://openalex.org/W2963928805","https://openalex.org/W2965446129","https://openalex.org/W2971507477","https://openalex.org/W2997857369","https://openalex.org/W2997965215","https://openalex.org/W3020111007","https://openalex.org/W3090692666","https://openalex.org/W3099462237","https://openalex.org/W3103296573","https://openalex.org/W3132115664","https://openalex.org/W3157507404","https://openalex.org/W3168936099","https://openalex.org/W3195150889","https://openalex.org/W3205296407","https://openalex.org/W4312096601","https://openalex.org/W4312641777","https://openalex.org/W6802436649"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W2794559785","https://openalex.org/W2037549926","https://openalex.org/W1754499339","https://openalex.org/W2345479200","https://openalex.org/W2013873776","https://openalex.org/W2183306018","https://openalex.org/W2849310602","https://openalex.org/W1973739845","https://openalex.org/W119752240"],"abstract_inverted_index":{"Tensor":[0],"completion":[1,43,72,133,155],"is":[2,55,81,116],"the":[3,13,16,95,107,119,128,132,150],"problem":[4],"of":[5,9,15,87,91],"filling-in":[6],"missing":[7,144],"parts":[8],"multidimensional":[10],"data":[11,125,146],"using":[12],"values":[14],"reference":[17],"elements.":[18],"Recently,":[19],"Multiway":[20],"Delay-embedding":[21],"Transform":[22],"(MDT),":[23],"which":[24],"considers":[25],"a":[26,30,41,48,61,75,112,123],"low-dimensional":[27],"space":[28,32],"in":[29,83,94,106,127],"delay-embedded":[31,76,96,108],"with":[33],"high":[34,49,154,158],"expressive":[35],"capability,":[36],"has":[37,47],"attracted":[38],"attention":[39],"as":[40,122],"tensor":[42,67,71],"method.":[44],"Although":[45],"MDT":[46],"complementary":[50],"performance,":[51],"its":[52,88],"computational":[53,84,159],"cost":[54],"considerably":[56],"high.":[57],"Therefore,":[58],"we":[59,139],"propose":[60],"new":[62],"model":[63,90],"called":[64],"smooth":[65,113],"convolutional":[66],"factorization":[68],"(SCTF),":[69],"for":[70],"based":[73],"on":[74],"space.":[77,109],"The":[78],"proposed":[79,151],"method":[80,152],"small":[82],"complexity":[85],"because":[86,99],"concise":[89],"rank-1":[92],"decomposition":[93],"space,":[97],"and":[98,142,147],"it":[100],"does":[101],"not":[102],"directly":[103],"perform":[104],"optimization":[105,129],"In":[110,136],"addition,":[111],"constraint":[114],"term":[115],"assigned":[117],"to":[118,130],"factor":[120],"tensors":[121],"prior":[124],"structure":[126],"improve":[131],"accuracy":[134,156],"further.":[135],"our":[137],"experiments,":[138],"completed":[140],"clipped":[141],"random":[143],"image":[145],"confirmed":[148],"that":[149],"achieved":[153],"without":[157],"cost.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
