{"id":"https://openalex.org/W4390738662","doi":"https://doi.org/10.1109/access.2024.3352597","title":"Orthogonal Tensor Recovery Based on Non-Convex Regularization and Rank Estimation","display_name":"Orthogonal Tensor Recovery Based on Non-Convex Regularization and Rank Estimation","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4390738662","doi":"https://doi.org/10.1109/access.2024.3352597"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3352597","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3352597","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10388352.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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","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/ielx7/6287639/6514899/10388352.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008948194","display_name":"X. T. Chen","orcid":"https://orcid.org/0009-0000-8240-6116"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xixiang Chen","raw_affiliation_strings":["Key Laboratory of Intelligent Informatics for Safety and Emergency of Zhejiang Province, Wenzhou University, Wenzhou, China"],"raw_orcid":"https://orcid.org/0009-0000-8240-6116","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Informatics for Safety and Emergency of Zhejiang Province, Wenzhou University, Wenzhou, China","institution_ids":["https://openalex.org/I146620803"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072742668","display_name":"Jingjing Zheng","orcid":"https://orcid.org/0000-0003-1955-5308"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jingjing Zheng","raw_affiliation_strings":["Department of Mathematics, The University of British Columbia, Vancouver, Canada","Department of Mathematics, University of British Columbia, Vancouver, BC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, The University of British Columbia, Vancouver, Canada","institution_ids":["https://openalex.org/I141945490"]},{"raw_affiliation_string":"Department of Mathematics, University of British Columbia, Vancouver, BC, Canada","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100730692","display_name":"Li Zhao","orcid":"https://orcid.org/0000-0001-5787-2705"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Zhao","raw_affiliation_strings":["Key Laboratory of Intelligent Informatics for Safety and Emergency of Zhejiang Province, Wenzhou University, Wenzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5787-2705","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Informatics for Safety and Emergency of Zhejiang Province, Wenzhou University, Wenzhou, China","institution_ids":["https://openalex.org/I146620803"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102024512","display_name":"Wei Jiang","orcid":"https://orcid.org/0000-0003-0820-588X"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Jiang","raw_affiliation_strings":["Key Laboratory of Intelligent Informatics for Safety and Emergency of Zhejiang Province, Wenzhou University, Wenzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0820-588X","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Informatics for Safety and Emergency of Zhejiang Province, Wenzhou University, Wenzhou, China","institution_ids":["https://openalex.org/I146620803"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100699785","display_name":"Xiaoqin Zhang","orcid":"https://orcid.org/0000-0003-0958-7285"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqin Zhang","raw_affiliation_strings":["Key Laboratory of Intelligent Informatics for Safety and Emergency of Zhejiang Province, Wenzhou University, Wenzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0958-7285","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Informatics for Safety and Emergency of Zhejiang Province, Wenzhou University, Wenzhou, China","institution_ids":["https://openalex.org/I146620803"]}]}],"institutions":[],"countries_distinct_count":2,"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":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00241546,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"29571","last_page":"29582"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9983000159263611,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/tensor","display_name":"Tensor (intrinsic definition)","score":0.6465231776237488},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6465057730674744},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5928542017936707},{"id":"https://openalex.org/keywords/cartesian-tensor","display_name":"Cartesian tensor","score":0.4959505498409271},{"id":"https://openalex.org/keywords/tensor-density","display_name":"Tensor density","score":0.39550602436065674},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.346434623003006},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3463476300239563},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3391339182853699},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.29158586263656616},{"id":"https://openalex.org/keywords/tensor-field","display_name":"Tensor field","score":0.2633974850177765},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.20626583695411682},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.17249801754951477},{"id":"https://openalex.org/keywords/exact-solutions-in-general-relativity","display_name":"Exact solutions in general relativity","score":0.15976443886756897}],"concepts":[{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.6465231776237488},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6465057730674744},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5928542017936707},{"id":"https://openalex.org/C64835786","wikidata":"https://www.wikidata.org/wiki/Q17004583","display_name":"Cartesian tensor","level":5,"score":0.4959505498409271},{"id":"https://openalex.org/C148125525","wikidata":"https://www.wikidata.org/wiki/Q904927","display_name":"Tensor density","level":4,"score":0.39550602436065674},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.346434623003006},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3463476300239563},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3391339182853699},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.29158586263656616},{"id":"https://openalex.org/C166077713","wikidata":"https://www.wikidata.org/wiki/Q1758924","display_name":"Tensor field","level":3,"score":0.2633974850177765},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.20626583695411682},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.17249801754951477},{"id":"https://openalex.org/C520416788","wikidata":"https://www.wikidata.org/wiki/Q5419229","display_name":"Exact solutions in general relativity","level":2,"score":0.15976443886756897}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3352597","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3352597","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10388352.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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b1f639bcdc9341ea87bbc36c3c7cfb2c","is_oa":true,"landing_page_url":"https://doaj.org/article/b1f639bcdc9341ea87bbc36c3c7cfb2c","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 12, Pp 29571-29582 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3352597","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3352597","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10388352.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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","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/G133414184","display_name":null,"funder_award_id":"U2033210","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6130558414","display_name":"\u590d\u6742\u8de8\u6a21\u6001\u8868\u5f81\u7684\u5173\u8054\u5206\u6790\u4e0e\u56e0\u679c\u8868\u793a\u65b9\u6cd5","funder_award_id":"LDT23F02024F02","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G8954100782","display_name":null,"funder_award_id":"62101387","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/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390738662.pdf","grobid_xml":"https://content.openalex.org/works/W4390738662.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W1600550542","https://openalex.org/W1638985343","https://openalex.org/W1860736741","https://openalex.org/W1965125844","https://openalex.org/W1974042113","https://openalex.org/W1975900269","https://openalex.org/W1980500788","https://openalex.org/W1982725637","https://openalex.org/W1992426838","https://openalex.org/W1996726072","https://openalex.org/W2024165284","https://openalex.org/W2030628896","https://openalex.org/W2030927653","https://openalex.org/W2038891887","https://openalex.org/W2072356364","https://openalex.org/W2078677240","https://openalex.org/W2079705627","https://openalex.org/W2080843093","https://openalex.org/W2091449379","https://openalex.org/W2102937240","https://openalex.org/W2145962650","https://openalex.org/W2167577940","https://openalex.org/W2187214659","https://openalex.org/W2199944189","https://openalex.org/W2268674159","https://openalex.org/W2565835729","https://openalex.org/W2618422320","https://openalex.org/W2762772695","https://openalex.org/W2778192313","https://openalex.org/W2963328634","https://openalex.org/W2963885538","https://openalex.org/W3016388692","https://openalex.org/W3022425365","https://openalex.org/W3072262295","https://openalex.org/W3098306969","https://openalex.org/W3100203369","https://openalex.org/W3102415113","https://openalex.org/W3123648408","https://openalex.org/W3155724094","https://openalex.org/W4225816429","https://openalex.org/W4240385847","https://openalex.org/W4283331960","https://openalex.org/W4283820924","https://openalex.org/W4300179783","https://openalex.org/W4309672332","https://openalex.org/W4378675345","https://openalex.org/W6636894223","https://openalex.org/W6660073329","https://openalex.org/W6675666277","https://openalex.org/W6713886449"],"related_works":["https://openalex.org/W2385280846","https://openalex.org/W4390617408","https://openalex.org/W1887380982","https://openalex.org/W4300111669","https://openalex.org/W2734326436","https://openalex.org/W2519254393","https://openalex.org/W2140205332","https://openalex.org/W2963479599","https://openalex.org/W2216309014","https://openalex.org/W4235074964"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,33,51,71,81,97],"method":[4,133],"for":[5],"orthogonal":[6,74,111],"tensor":[7,36,53,62,67,75],"recovery":[8],"based":[9],"on":[10,118],"non-convex":[11,83],"regularization":[12,84],"and":[13,26,56,76,80,113,121,139],"rank":[14,49,58,91,99],"estimation":[15,100],"(OTRN-RE)":[16],"is":[17,39,68,85,102],"proposed,":[18],"which":[19,41],"aims":[20],"to":[21,87,104],"accurately":[22],"recover":[23],"the":[24,30,45,48,57,60,89,93,107,127,131],"low-rank":[25,35],"sparse":[27],"components":[28],"of":[29,50,59,92,109,130,136],"tensor.":[31,95],"Specifically,":[32],"new":[34,98],"decomposition":[37,55],"algorithm":[38],"designed,":[40],"can":[42],"efficiently":[43],"establish":[44],"equivalence":[46],"between":[47],"large":[52,66],"before":[54],"coefficient":[61,78,94,114],"after":[63],"decomposition.":[64],"The":[65],"decomposed":[69],"into":[70],"small":[72,110],"standard":[73],"another":[77],"tensor,":[79],"generalized":[82],"used":[86],"inscribe":[88],"low":[90],"Meanwhile,":[96],"strategy":[101],"developed":[103],"dynamically":[105],"adjust":[106],"size":[108],"tensors":[112],"tensors.":[115],"Experimental":[116],"results":[117],"image":[119],"denoising":[120,137],"salient":[122],"object":[123],"detection":[124],"tasks":[125],"confirm":[126],"state-of-the-art":[128],"performance":[129],"proposed":[132],"in":[134],"terms":[135],"capability":[138],"computational":[140],"speed.":[141]},"counts_by_year":[],"updated_date":"2026-07-13T07:31:44.756512","created_date":"2025-10-10T00:00:00"}
