{"id":"https://openalex.org/W2795579509","doi":"https://doi.org/10.1109/tcyb.2018.2817630","title":"A Sequentially Truncated Higher Order Singular Value Decomposition-Based Algorithm for Tensor Completion","display_name":"A Sequentially Truncated Higher Order Singular Value Decomposition-Based Algorithm for Tensor Completion","publication_year":2018,"publication_date":"2018-04-06","ids":{"openalex":"https://openalex.org/W2795579509","doi":"https://doi.org/10.1109/tcyb.2018.2817630","mag":"2795579509","pmid":"https://pubmed.ncbi.nlm.nih.gov/29993938"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2018.2817630","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2018.2817630","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5030139472","display_name":"Zisen Fang","orcid":"https://orcid.org/0000-0002-4919-5588"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zisen Fang","raw_affiliation_strings":["School of Software Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4919-5588","affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101509084","display_name":"Xiaowei Yang","orcid":"https://orcid.org/0000-0002-1512-487X"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaowei Yang","raw_affiliation_strings":["School of Software Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100700075","display_name":"Le Han","orcid":"https://orcid.org/0000-0003-2985-3165"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Le Han","raw_affiliation_strings":["School of Mathematics, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033023635","display_name":"Xiaolan Liu","orcid":"https://orcid.org/0000-0003-0560-472X"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolan Liu","raw_affiliation_strings":["School of Mathematics, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0560-472X","affiliations":[{"raw_affiliation_string":"School of Mathematics, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":1.9273,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.83475783,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"49","issue":"5","first_page":"1956","last_page":"1967"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9997000098228455,"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":0.9997000098228455,"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":0.759655237197876},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.6707401275634766},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6498032808303833},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5647125244140625},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.5223252177238464},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4827984571456909},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.47954341769218445},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4666566550731659},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4655289053916931},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.4390271008014679},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3810722231864929},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3527575135231018},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18209365010261536},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.07424074411392212},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.0693935751914978}],"concepts":[{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.759655237197876},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.6707401275634766},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6498032808303833},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5647125244140625},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.5223252177238464},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4827984571456909},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.47954341769218445},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4666566550731659},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4655289053916931},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.4390271008014679},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3810722231864929},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3527575135231018},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18209365010261536},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.07424074411392212},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0693935751914978},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2018.2817630","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2018.2817630","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},{"id":"pmid:29993938","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29993938","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1421759301","display_name":null,"funder_award_id":"2015A030310298","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G5559235446","display_name":null,"funder_award_id":"61273295","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7246022782","display_name":null,"funder_award_id":"11501219","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7390711019","display_name":null,"funder_award_id":"61502175","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W10350632","https://openalex.org/W187632787","https://openalex.org/W792141054","https://openalex.org/W1563577280","https://openalex.org/W1565746575","https://openalex.org/W1568416770","https://openalex.org/W1814521481","https://openalex.org/W1850275953","https://openalex.org/W1963826206","https://openalex.org/W1982142851","https://openalex.org/W1982524534","https://openalex.org/W1982725637","https://openalex.org/W1991042426","https://openalex.org/W2013023819","https://openalex.org/W2013912476","https://openalex.org/W2018097969","https://openalex.org/W2018282388","https://openalex.org/W2022631295","https://openalex.org/W2024165284","https://openalex.org/W2024182011","https://openalex.org/W2028273200","https://openalex.org/W2030628896","https://openalex.org/W2030961980","https://openalex.org/W2033560557","https://openalex.org/W2035399158","https://openalex.org/W2049633694","https://openalex.org/W2055913665","https://openalex.org/W2078677240","https://openalex.org/W2089079408","https://openalex.org/W2090799283","https://openalex.org/W2090967489","https://openalex.org/W2091449379","https://openalex.org/W2094861094","https://openalex.org/W2095643100","https://openalex.org/W2095729436","https://openalex.org/W2103367708","https://openalex.org/W2106295515","https://openalex.org/W2108138101","https://openalex.org/W2121739212","https://openalex.org/W2141280932","https://openalex.org/W2148538422","https://openalex.org/W2154011501","https://openalex.org/W2154624311","https://openalex.org/W2202991231","https://openalex.org/W2295156440","https://openalex.org/W2323886967","https://openalex.org/W2337878656","https://openalex.org/W2345068797","https://openalex.org/W2428204121","https://openalex.org/W2433430858","https://openalex.org/W2475098969","https://openalex.org/W2508935523","https://openalex.org/W2528907418","https://openalex.org/W2547812180","https://openalex.org/W3102581530","https://openalex.org/W3103867094","https://openalex.org/W4240580737","https://openalex.org/W4243461261","https://openalex.org/W6633586413","https://openalex.org/W6673357430","https://openalex.org/W6697092356"],"related_works":["https://openalex.org/W2782904003","https://openalex.org/W2950186459","https://openalex.org/W2170114491","https://openalex.org/W4226434912","https://openalex.org/W2118633810","https://openalex.org/W2766870359","https://openalex.org/W2897298721","https://openalex.org/W2242624680","https://openalex.org/W2136127937","https://openalex.org/W2150953077"],"abstract_inverted_index":{"The":[0,159],"problem":[1,34],"of":[2,6,19,45,48,57,110,136,143,149,181],"recovering":[3],"missing":[4,126],"data":[5,24],"an":[7,90],"incomplete":[8,59],"tensor":[9,43,60,64,69,73,116,124],"has":[10],"drawn":[11],"more":[12,14],"and":[13,28,132,166,184],"attentions":[15],"in":[16,83,113,156,179],"the":[17,41,49,54,58,67,72,115,133,141,144,150,172,176,185],"fields":[18],"pattern":[20],"recognition,":[21],"machine":[22],"learning,":[23],"mining,":[25],"computer":[26],"vision,":[27],"signal":[29],"processing.":[30],"Researches":[31],"on":[32,63,97,162],"this":[33,88,157],"usually":[35],"share":[36],"a":[37],"common":[38],"assumption":[39],"that":[40,171],"original":[42],"is":[44,61,80,93,153],"low-rank.":[46],"One":[47],"important":[50],"ways":[51],"to":[52,139],"capture":[53],"low-rank":[55,108,137],"structure":[56],"based":[62,96],"factorization.":[65],"For":[66],"traditional":[68],"factorization":[70],"algorithms,":[71],"ranks":[74,117],"should":[75],"be":[76,119],"specified":[77],"ahead,":[78],"which":[79,114],"not":[81],"reasonable":[82],"real":[84],"applications.":[85],"To":[86],"overcome":[87],"drawback,":[89],"adaptive":[91,130],"algorithm":[92,152],"first":[94],"presented":[95],"sequentially":[98],"truncated":[99],"higher":[100],"order":[101],"singular":[102],"value":[103],"decomposition":[104],"(ST-HOSVD)":[105],"for":[106,123],"fast":[107],"approximation":[109,138],"complete":[111],"tensor,":[112],"can":[118],"obtained":[120],"adaptively.":[121],"Then":[122],"with":[125],"data,":[127],"we":[128],"use":[129],"ST-HOSVD":[131],"average":[134],"operator":[135],"improve":[140],"accuracy":[142],"fulfilled":[145],"tensor.":[146],"Convergence":[147],"analysis":[148],"proposed":[151,173],"also":[154],"given":[155],"paper.":[158],"experimental":[160],"results":[161],"14":[163],"image":[164],"datasets":[165,169],"three":[167],"video":[168],"show":[170],"method":[174],"outperforms":[175],"state-of-the-art":[177],"methods":[178],"terms":[180],"running":[182],"time":[183],"accuracy.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}