{"id":"https://openalex.org/W3209675813","doi":"https://doi.org/10.1109/access.2021.3125152","title":"Hybrid Matrix Completion Model for Improved Images Recovery and Recommendation Systems","display_name":"Hybrid Matrix Completion Model for Improved Images Recovery and Recommendation Systems","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3209675813","doi":"https://doi.org/10.1109/access.2021.3125152","mag":"3209675813"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3125152","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3125152","pdf_url":null,"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://doi.org/10.1109/access.2021.3125152","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006296718","display_name":"Kai Xu","orcid":"https://orcid.org/0000-0001-8933-6704"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Kai Xu","raw_affiliation_strings":["School of Software Engineering, South China University of Technology, Guangzhou, 510006, China and School of Transportation Engineering, Shenzhen Polytechnic, Shenzhen 518055, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, 510006, China and School of Transportation Engineering, Shenzhen Polytechnic, Shenzhen 518055, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100727129","display_name":"Ying Zhang","orcid":"https://orcid.org/0000-0001-6954-0521"},"institutions":[{"id":"https://openalex.org/I4210121200","display_name":"Second Affiliated Hospital of Shantou University Medical College","ror":"https://ror.org/035rs9v13","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210121200"]},{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Zhang","raw_affiliation_strings":["Second Affiliated Hospital of Shantou University Medical College, Shantou 515041, China. (e-mail: yingzStu@gmail.com)"],"affiliations":[{"raw_affiliation_string":"Second Affiliated Hospital of Shantou University Medical College, Shantou 515041, China. (e-mail: yingzStu@gmail.com)","institution_ids":["https://openalex.org/I4210121200","https://openalex.org/I32574673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102388149","display_name":"Zhurong Dong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhurong Dong","raw_affiliation_strings":["School of Transportation Engineering, Shenzhen Polytechnic, Shenzhen 518055, China"],"affiliations":[{"raw_affiliation_string":"School of Transportation Engineering, Shenzhen Polytechnic, Shenzhen 518055, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035024322","display_name":"Zhanyu Li","orcid":"https://orcid.org/0000-0002-5448-4456"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhanyu Li","raw_affiliation_strings":["School of Transportation Engineering, Shenzhen Polytechnic, Shenzhen 518055, China"],"affiliations":[{"raw_affiliation_string":"School of Transportation Engineering, Shenzhen Polytechnic, Shenzhen 518055, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017710092","display_name":"Bopeng Fang","orcid":"https://orcid.org/0000-0002-1054-3792"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bopeng Fang","raw_affiliation_strings":["School of Transportation Engineering, Shenzhen Polytechnic, Shenzhen 518055, China"],"affiliations":[{"raw_affiliation_string":"School of Transportation Engineering, Shenzhen Polytechnic, Shenzhen 518055, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5006296718"],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.3502,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.55429525,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"9","issue":null,"first_page":"149349","last_page":"149359"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9983999729156494,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9983999729156494,"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/matrix-completion","display_name":"Matrix completion","score":0.6687336564064026},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6564049124717712},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6311435103416443},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5544506907463074},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5338842272758484},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5328429341316223},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.5192468166351318},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.44953304529190063},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42445671558380127},{"id":"https://openalex.org/keywords/low-rank-approximation","display_name":"Low-rank approximation","score":0.41953182220458984},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3605616092681885},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35181719064712524},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34143754839897156},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3257848620414734},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24636739492416382},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19306549429893494}],"concepts":[{"id":"https://openalex.org/C2778459887","wikidata":"https://www.wikidata.org/wiki/Q6787865","display_name":"Matrix completion","level":3,"score":0.6687336564064026},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6564049124717712},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6311435103416443},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5544506907463074},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5338842272758484},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5328429341316223},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.5192468166351318},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.44953304529190063},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42445671558380127},{"id":"https://openalex.org/C90199385","wikidata":"https://www.wikidata.org/wiki/Q6692777","display_name":"Low-rank approximation","level":3,"score":0.41953182220458984},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3605616092681885},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35181719064712524},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34143754839897156},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3257848620414734},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24636739492416382},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19306549429893494},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3125152","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3125152","pdf_url":null,"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:59df01a50f12415ab26bdb8440bc89bf","is_oa":true,"landing_page_url":"https://doaj.org/article/59df01a50f12415ab26bdb8440bc89bf","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"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 9, Pp 149349-149359 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3125152","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3125152","pdf_url":null,"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":[{"score":0.6499999761581421,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W611209876","https://openalex.org/W1476376401","https://openalex.org/W1548998364","https://openalex.org/W1595159159","https://openalex.org/W1950149046","https://openalex.org/W2000345836","https://openalex.org/W2016003670","https://openalex.org/W2054141820","https://openalex.org/W2058078260","https://openalex.org/W2060204507","https://openalex.org/W2061695325","https://openalex.org/W2078784669","https://openalex.org/W2103972604","https://openalex.org/W2117756735","https://openalex.org/W2120387782","https://openalex.org/W2124608575","https://openalex.org/W2146130798","https://openalex.org/W2184497579","https://openalex.org/W2219888463","https://openalex.org/W2505029951","https://openalex.org/W2604687138","https://openalex.org/W2604964345","https://openalex.org/W2609983914","https://openalex.org/W2624752195","https://openalex.org/W2697185859","https://openalex.org/W2763211003","https://openalex.org/W2765145408","https://openalex.org/W2768160734","https://openalex.org/W2775111227","https://openalex.org/W2790153128","https://openalex.org/W2801913199","https://openalex.org/W2898726045","https://openalex.org/W2903706803","https://openalex.org/W2909571385","https://openalex.org/W2911458804","https://openalex.org/W2949544809","https://openalex.org/W2953063457","https://openalex.org/W3003365835","https://openalex.org/W3019637614","https://openalex.org/W3120295820","https://openalex.org/W3180378035","https://openalex.org/W4248101621","https://openalex.org/W6678101856","https://openalex.org/W6682042988","https://openalex.org/W6686515677"],"related_works":["https://openalex.org/W2782904003","https://openalex.org/W2952489973","https://openalex.org/W2963185427","https://openalex.org/W2065296176","https://openalex.org/W2118633810","https://openalex.org/W2150953077","https://openalex.org/W2106005123","https://openalex.org/W4300776969","https://openalex.org/W4226434912","https://openalex.org/W2002598339"],"abstract_inverted_index":{"Matrix":[0],"completion":[1,157],"methods":[2,32],"have":[3],"been":[4],"widely":[5],"applied":[6],"in":[7,75],"images":[8],"recovery":[9],"and":[10,58,119,135,150],"recommendation":[11,136],"systems.":[12],"Most":[13],"of":[14,23,35,43,67],"them":[15],"are":[16],"only":[17],"based":[18,54],"on":[19,55],"the":[20,27,41,72,111,128,143],"low-rank":[21],"characteristics":[22],"matrices":[24],"to":[25,84,131],"predict":[26],"missing":[28],"entries.":[29],"However,":[30],"these":[31],"lack":[33],"consideration":[34],"local":[36,60,93,120],"information.":[37,61],"To":[38],"further":[39],"improve":[40],"performance":[42],"matrix":[44,56,59,76,117,156],"completion.":[45],"In":[46],"this":[47],"paper,":[48],"we":[49,63,115],"propose":[50],"a":[51,65,79,147],"novel":[52],"model":[53,145],"decompositions":[57],"Specifically,":[62],"update":[64],"number":[66],"rank-one":[68],"matrices,":[69],"which":[70,106],"circumvented":[71],"rank":[73],"estimation":[74],"decomposition.":[77],"And":[78],"penalty":[80],"function":[81],"is":[82,108],"designed":[83],"punish":[85],"singular":[86],"values":[87],"without":[88],"introducing":[89],"additional":[90],"parameters.":[91],"The":[92,139],"information":[94,98,121],"component":[95],"extracts":[96],"similar":[97],"by":[99,110],"an":[100],"adaptive":[101],"filter":[102],"via":[103,123],"convolution":[104],"operation":[105],"kernel":[107],"obtained":[109],"minimum":[112],"variance.":[113],"Finally,":[114],"integrate":[116],"decomposition":[118],"components":[122],"different":[124],"weights.":[125],"We":[126],"apply":[127],"proposed":[129,144],"method":[130],"real-world":[132],"image":[133],"datasets":[134],"system":[137],"datasets.":[138],"experimental":[140],"results":[141],"demonstrate":[142],"has":[146],"lower":[148],"error":[149],"better":[151],"robustness":[152],"than":[153],"several":[154],"competing":[155],"methods.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
