{"id":"https://openalex.org/W3024388255","doi":"https://doi.org/10.1109/tmm.2020.2994512","title":"Factorized Tensor Dictionary Learning for Visual Tensor Data Completion","display_name":"Factorized Tensor Dictionary Learning for Visual Tensor Data Completion","publication_year":2020,"publication_date":"2020-05-13","ids":{"openalex":"https://openalex.org/W3024388255","doi":"https://doi.org/10.1109/tmm.2020.2994512","mag":"3024388255"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2020.2994512","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2020.2994512","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"},"type":"article","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/A5037627177","display_name":"Ruotao Xu","orcid":"https://orcid.org/0000-0002-5277-9859"},"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":true,"raw_author_name":"Ruotao Xu","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","School of Computer Science and Engineering, South China University of Technology, Guangzhou , China"],"raw_orcid":"https://orcid.org/0000-0002-5277-9859","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou , China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010277066","display_name":"Yong Xu","orcid":"https://orcid.org/0000-0001-7183-3155"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"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":"Yong Xu","raw_affiliation_strings":["Communication and Computer Network Laboratory of Guangdong, Guangzhou, China","Peng Cheng Laboratory, Shenzhen, China","School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","Communication and Computer Network Laboratory of Guangdong, Guangzhou, China; Peng Cheng Laboratory, Shenzhen, China; School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7183-3155","affiliations":[{"raw_affiliation_string":"Communication and Computer Network Laboratory of Guangdong, Guangzhou, China","institution_ids":[]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Communication and Computer Network Laboratory of Guangdong, Guangzhou, China; Peng Cheng Laboratory, Shenzhen, China; School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I4210136793","https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038130835","display_name":"Yuhui Quan","orcid":"https://orcid.org/0000-0002-2564-7703"},"institutions":[{"id":"https://openalex.org/I4210098034","display_name":"Key Laboratory of Guangdong Province","ror":"https://ror.org/00swtqp09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210098034"]},{"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":"Yuhui Quan","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, Guangzhou, China","School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, Guangzhou, China; School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2564-7703","affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, Guangzhou, China","institution_ids":["https://openalex.org/I4210098034"]},{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, Guangzhou, China; School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037627177"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":2.7003,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.89840701,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"23","issue":null,"first_page":"1225","last_page":"1238"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9970999956130981,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9970999956130981,"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/T12303","display_name":"Tensor decomposition and applications","score":0.9965999722480774,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9879999756813049,"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/computer-science","display_name":"Computer science","score":0.7523896098136902},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.6921514272689819},{"id":"https://openalex.org/keywords/orthogonality","display_name":"Orthogonality","score":0.6654180288314819},{"id":"https://openalex.org/keywords/k-svd","display_name":"K-SVD","score":0.5525739192962646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5222897529602051},{"id":"https://openalex.org/keywords/dictionary-learning","display_name":"Dictionary learning","score":0.5202276110649109},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4321766495704651},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.42980703711509705},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4176488220691681},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.35465461015701294},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.23539528250694275},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1748543083667755},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.0953834056854248}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7523896098136902},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.6921514272689819},{"id":"https://openalex.org/C17137986","wikidata":"https://www.wikidata.org/wiki/Q215067","display_name":"Orthogonality","level":2,"score":0.6654180288314819},{"id":"https://openalex.org/C154771677","wikidata":"https://www.wikidata.org/wiki/Q17098361","display_name":"K-SVD","level":3,"score":0.5525739192962646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5222897529602051},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.5202276110649109},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4321766495704651},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.42980703711509705},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4176488220691681},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35465461015701294},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.23539528250694275},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1748543083667755},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0953834056854248},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2020.2994512","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2020.2994512","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.800000011920929}],"awards":[{"id":"https://openalex.org/G1376253947","display_name":"\u9762\u5411\u975e\u7279\u5b9a\u6d41\u5f62\u7ed3\u6784\u5316\u6570\u636e\u7684\u7a00\u758f\u7f16\u7801\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61872151","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G229920399","display_name":"\u56fe\u50cf/\u89c6\u9891\u53bb\u96e8\u5173\u952e\u7406\u8bba\u4e0e\u7b97\u6cd5\u7814\u7a76","funder_award_id":"61672241","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5526867466","display_name":null,"funder_award_id":"U1611461","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5913687464","display_name":null,"funder_award_id":"2017A030313376","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G6579067573","display_name":null,"funder_award_id":"2016A030308013","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G709742605","display_name":null,"funder_award_id":"2020A1515011128","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"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}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W1568416770","https://openalex.org/W1574714376","https://openalex.org/W1606263802","https://openalex.org/W1768680127","https://openalex.org/W1798945469","https://openalex.org/W1946953458","https://openalex.org/W1973890885","https://openalex.org/W1979074964","https://openalex.org/W1994281301","https://openalex.org/W1999829977","https://openalex.org/W2004023294","https://openalex.org/W2028273200","https://openalex.org/W2030927653","https://openalex.org/W2040376026","https://openalex.org/W2057479178","https://openalex.org/W2063509716","https://openalex.org/W2063731706","https://openalex.org/W2064227837","https://openalex.org/W2091449379","https://openalex.org/W2091456459","https://openalex.org/W2095906131","https://openalex.org/W2114122776","https://openalex.org/W2115429828","https://openalex.org/W2115549875","https://openalex.org/W2121775913","https://openalex.org/W2147512299","https://openalex.org/W2149974988","https://openalex.org/W2150912629","https://openalex.org/W2160547390","https://openalex.org/W2161305109","https://openalex.org/W2163318306","https://openalex.org/W2170335953","https://openalex.org/W2198155329","https://openalex.org/W2218665234","https://openalex.org/W2276450554","https://openalex.org/W2297266326","https://openalex.org/W2399419866","https://openalex.org/W2404467465","https://openalex.org/W2415447328","https://openalex.org/W2433081977","https://openalex.org/W2443864910","https://openalex.org/W2464748116","https://openalex.org/W2517051422","https://openalex.org/W2518642309","https://openalex.org/W2519420704","https://openalex.org/W2579595152","https://openalex.org/W2594059414","https://openalex.org/W2620614769","https://openalex.org/W2743606449","https://openalex.org/W2752693045","https://openalex.org/W2776224886","https://openalex.org/W2787398805","https://openalex.org/W2793829147","https://openalex.org/W2883289611","https://openalex.org/W2884847196","https://openalex.org/W2894900504","https://openalex.org/W2944375193","https://openalex.org/W2949507084","https://openalex.org/W2963255313","https://openalex.org/W2963309201","https://openalex.org/W2963328634","https://openalex.org/W2963368219","https://openalex.org/W2964193752","https://openalex.org/W2964214749","https://openalex.org/W2969109746","https://openalex.org/W2996549879","https://openalex.org/W3100455090","https://openalex.org/W6634540942","https://openalex.org/W6638052449","https://openalex.org/W6638060716","https://openalex.org/W6677446445","https://openalex.org/W6682009426","https://openalex.org/W6738185504"],"related_works":["https://openalex.org/W2974923148","https://openalex.org/W3081653793","https://openalex.org/W4286446949","https://openalex.org/W2161305109","https://openalex.org/W1576854369","https://openalex.org/W2509955295","https://openalex.org/W1484085684","https://openalex.org/W3137366742","https://openalex.org/W1988337847","https://openalex.org/W2594294444"],"abstract_inverted_index":{"This":[0,115],"paper":[1],"aims":[2],"at":[3],"developing":[4],"a":[5,62],"dictionary-learning-based":[6],"method":[7,146,158],"for":[8,35,66,91,149],"completing":[9],"the":[10,47,50,71,103],"visual":[11,150],"tensor":[12,30,67,97,151],"data":[13],"with":[14,126,165],"missing":[15],"elements.":[16],"Traditional":[17],"dictionary":[18,44,52,68,77,92,98,125,144],"learning":[19,78,145],"approaches":[20,34,164],"suffer":[21],"from":[22,109],"very":[23],"high":[24],"computational":[25],"costs":[26],"when":[27],"processing":[28],"high-dimensional":[29],"data.":[31],"Some":[32],"existing":[33,162],"acceleration":[36],"impose":[37],"orthogonality":[38],"constraints":[39],"or":[40],"rank-one":[41],"decompositions":[42],"on":[43,132],"atoms;":[45],"however,":[46],"expressibility":[48],"of":[49,73,105],"resulting":[51],"is":[53,79,100,147],"rather":[54],"limited.":[55],"To":[56],"address":[57],"such":[58],"issues,":[59],"we":[60,84],"propose":[61,85],"convolutional":[63,88,134],"analysis":[64,135],"model":[65,136],"learning,":[69],"where":[70],"update":[72],"sparse":[74],"coefficients":[75],"during":[76],"simple":[80],"and":[81,128,137],"fast.":[82],"Furthermore,":[83],"an":[86,123,140],"orthogonality-constrained":[87],"factorization":[89,116,138],"scheme":[90,117],"construction,":[93],"in":[94],"which":[95],"each":[96],"atom":[99],"factorized":[101],"by":[102],"convolution":[104],"two":[106,110],"atoms":[107],"selected":[108],"orthogonal":[111],"factor":[112],"dictionaries":[113],"respectively.":[114],"enables":[118],"us":[119],"to":[120],"efficiently":[121],"learn":[122],"expressive":[124],"over-completeness":[127],"non-rank-one":[129],"atoms.":[130],"Based":[131],"our":[133,157],"scheme,":[139],"effective":[141],"yet":[142],"efficient":[143],"proposed":[148],"completion.":[152],"Extensive":[153],"experiments":[154],"show":[155],"that,":[156],"not":[159],"only":[160],"outperforms":[161,171],"dictionary-based":[163],"relatively-low":[166],"time":[167],"cost,":[168],"but":[169],"also":[170],"recent":[172],"low-rank":[173],"approaches.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3}],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2025-10-10T00:00:00"}