{"id":"https://openalex.org/W4399646778","doi":"https://doi.org/10.1007/s11760-024-03353-4","title":"Modified correlated total variation regularization for low-rank matrix recovery","display_name":"Modified correlated total variation regularization for low-rank matrix recovery","publication_year":2024,"publication_date":"2024-06-13","ids":{"openalex":"https://openalex.org/W4399646778","doi":"https://doi.org/10.1007/s11760-024-03353-4"},"language":"en","primary_location":{"id":"doi:10.1007/s11760-024-03353-4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11760-024-03353-4","pdf_url":null,"source":{"id":"https://openalex.org/S156904493","display_name":"Signal Image and Video Processing","issn_l":"1863-1703","issn":["1863-1703","1863-1711"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Signal, Image and Video Processing","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/A5036013518","display_name":"Xinling Liu","orcid":"https://orcid.org/0000-0003-4524-6517"},"institutions":[{"id":"https://openalex.org/I16351329","display_name":"China West Normal University","ror":"https://ror.org/04s99y476","country_code":"CN","type":"education","lineage":["https://openalex.org/I16351329"]},{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinling Liu","raw_affiliation_strings":["Key Laboratory of Optimization Theory and Applications at China West Normal University of Sichuan Province, School of Mathematics and Information, China West Normal University, Shida Road 1, Nanchong, 637009, China","School of Mathematics and Statistics, Southwest University, Tiansheng Road 1, Chongqing, 400715, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Optimization Theory and Applications at China West Normal University of Sichuan Province, School of Mathematics and Information, China West Normal University, Shida Road 1, Nanchong, 637009, China","institution_ids":["https://openalex.org/I16351329"]},{"raw_affiliation_string":"School of Mathematics and Statistics, Southwest University, Tiansheng Road 1, Chongqing, 400715, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101597438","display_name":"Yi Dou","orcid":"https://orcid.org/0000-0003-4995-4502"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Dou","raw_affiliation_strings":["School of Mathematics and Statistics, Southwest University, Tiansheng Road 1, Chongqing, 400715, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Southwest University, Tiansheng Road 1, Chongqing, 400715, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100410426","display_name":"Jianjun Wang","orcid":"https://orcid.org/0000-0002-5344-4460"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianjun Wang","raw_affiliation_strings":["School of Mathematics and Statistics, Southwest University, Tiansheng Road 1, Chongqing, 400715, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Southwest University, Tiansheng Road 1, Chongqing, 400715, China","institution_ids":["https://openalex.org/I142108993"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100410426"],"corresponding_institution_ids":["https://openalex.org/I142108993"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.7766,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.65490107,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"18","issue":"10","first_page":"6807","last_page":"6819"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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":1.0,"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":0.9998000264167786,"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"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9993000030517578,"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/inpainting","display_name":"Inpainting","score":0.871497631072998},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.831749677658081},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6974366903305054},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6226677298545837},{"id":"https://openalex.org/keywords/matrix-completion","display_name":"Matrix completion","score":0.5461961627006531},{"id":"https://openalex.org/keywords/robust-principal-component-analysis","display_name":"Robust principal component analysis","score":0.5288957953453064},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5066309571266174},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.4740067422389984},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46408388018608093},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.451777845621109},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.44390928745269775},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.4394543766975403},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43855389952659607},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42284417152404785},{"id":"https://openalex.org/keywords/low-rank-approximation","display_name":"Low-rank approximation","score":0.419766902923584},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.41463541984558105},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.40659111738204956},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35030698776245117},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3230046033859253},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.23813417553901672},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.19791671633720398}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.871497631072998},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.831749677658081},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6974366903305054},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6226677298545837},{"id":"https://openalex.org/C2778459887","wikidata":"https://www.wikidata.org/wiki/Q6787865","display_name":"Matrix completion","level":3,"score":0.5461961627006531},{"id":"https://openalex.org/C2777749129","wikidata":"https://www.wikidata.org/wiki/Q17148469","display_name":"Robust principal component analysis","level":3,"score":0.5288957953453064},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5066309571266174},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.4740067422389984},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46408388018608093},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.451777845621109},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.44390928745269775},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.4394543766975403},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43855389952659607},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42284417152404785},{"id":"https://openalex.org/C90199385","wikidata":"https://www.wikidata.org/wiki/Q6692777","display_name":"Low-rank approximation","level":3,"score":0.419766902923584},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.41463541984558105},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.40659111738204956},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35030698776245117},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3230046033859253},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.23813417553901672},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.19791671633720398},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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},{"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/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C25023664","wikidata":"https://www.wikidata.org/wiki/Q1575637","display_name":"Hankel matrix","level":2,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11760-024-03353-4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11760-024-03353-4","pdf_url":null,"source":{"id":"https://openalex.org/S156904493","display_name":"Signal Image and Video Processing","issn_l":"1863-1703","issn":["1863-1703","1863-1711"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Signal, Image and Video Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3888089072","display_name":null,"funder_award_id":"12071380","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6541478676","display_name":null,"funder_award_id":"12301594","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W195665135","https://openalex.org/W1482071412","https://openalex.org/W1568416770","https://openalex.org/W1575701986","https://openalex.org/W1944540851","https://openalex.org/W1969698720","https://openalex.org/W2047071281","https://openalex.org/W2048695508","https://openalex.org/W2077609945","https://openalex.org/W2089138312","https://openalex.org/W2103559027","https://openalex.org/W2103972604","https://openalex.org/W2110355775","https://openalex.org/W2124608575","https://openalex.org/W2133665775","https://openalex.org/W2145962650","https://openalex.org/W2146842127","https://openalex.org/W2187214659","https://openalex.org/W2505029951","https://openalex.org/W2624915162","https://openalex.org/W2763820948","https://openalex.org/W2775829438","https://openalex.org/W2884944060","https://openalex.org/W2890497143","https://openalex.org/W2890992157","https://openalex.org/W2963831709","https://openalex.org/W3016388692","https://openalex.org/W3042671644","https://openalex.org/W3100203369","https://openalex.org/W3135080266","https://openalex.org/W4224123394","https://openalex.org/W4245551996","https://openalex.org/W4292363360","https://openalex.org/W4312713761","https://openalex.org/W4353004250","https://openalex.org/W4382466177","https://openalex.org/W4384407526","https://openalex.org/W4385617679","https://openalex.org/W4393205260","https://openalex.org/W6601365666"],"related_works":["https://openalex.org/W2952489973","https://openalex.org/W4300776969","https://openalex.org/W2106005123","https://openalex.org/W2266965707","https://openalex.org/W2964352004","https://openalex.org/W2184500224","https://openalex.org/W208067387","https://openalex.org/W2963965423","https://openalex.org/W2089088255","https://openalex.org/W2889640506"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-01-21T23:30:37.877113","created_date":"2025-10-10T00:00:00"}