{"id":"https://openalex.org/W4385444747","doi":"https://doi.org/10.1109/tnnls.2023.3293888","title":"Support Matrix Machine via Joint \u2113<sub>2,1</sub> and Nuclear Norm Minimization Under Matrix Completion Framework for Classification of Corrupted Data","display_name":"Support Matrix Machine via Joint \u2113<sub>2,1</sub> and Nuclear Norm Minimization Under Matrix Completion Framework for Classification of Corrupted Data","publication_year":2023,"publication_date":"2023-08-01","ids":{"openalex":"https://openalex.org/W4385444747","doi":"https://doi.org/10.1109/tnnls.2023.3293888","pmid":"https://pubmed.ncbi.nlm.nih.gov/37527325"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2023.3293888","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3293888","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","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/A5033585021","display_name":"Imran Razzak","orcid":"https://orcid.org/0000-0002-3930-6600"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Imran Razzak","raw_affiliation_strings":["School of Computer Science and Engineering, University of New South Wales, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of New South Wales, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018899731","display_name":"Mohamed Reda Bouadjenek","orcid":"https://orcid.org/0000-0003-1807-430X"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mohamed Reda Bouadjenek","raw_affiliation_strings":["School of Information Technology, Deakin University, Geelong, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"School of Information Technology, Deakin University, Geelong, VIC, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047340597","display_name":"Raghib Abu Saris","orcid":null},"institutions":[{"id":"https://openalex.org/I185203018","display_name":"King Saud bin Abdulaziz University for Health Sciences","ror":"https://ror.org/0149jvn88","country_code":"SA","type":"education","lineage":["https://openalex.org/I185203018"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Raghib Abu Saris","raw_affiliation_strings":["College of Public Health and Helaht Informatics, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"College of Public Health and Helaht Informatics, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I185203018"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069969191","display_name":"Weiping Ding","orcid":"https://orcid.org/0000-0002-3180-7347"},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiping Ding","raw_affiliation_strings":["School of Information Science and Technology, Nantong University, Nantong, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Nantong University, Nantong, China","institution_ids":["https://openalex.org/I199305430"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5033585021"],"corresponding_institution_ids":["https://openalex.org/I31746571"],"apc_list":null,"apc_paid":null,"fwci":0.3611,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.591576,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"35","issue":"11","first_page":"16341","last_page":"16352"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9789000153541565,"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"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9789000153541565,"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-norm","display_name":"Matrix norm","score":0.6327390074729919},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5687503218650818},{"id":"https://openalex.org/keywords/matrix-completion","display_name":"Matrix completion","score":0.5407154560089111},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.5238285660743713},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.49084407091140747},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4510740637779236},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3877406120300293},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3538670241832733},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32100504636764526},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3203850984573364},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1886349618434906},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.1858445703983307},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.17656150460243225},{"id":"https://openalex.org/keywords/computational-chemistry","display_name":"Computational chemistry","score":0.10639545321464539},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.07971671223640442},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.07673066854476929},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.07290711998939514},{"id":"https://openalex.org/keywords/quantum-mechanics","display_name":"Quantum mechanics","score":0.0669369101524353}],"concepts":[{"id":"https://openalex.org/C92207270","wikidata":"https://www.wikidata.org/wiki/Q939253","display_name":"Matrix norm","level":3,"score":0.6327390074729919},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5687503218650818},{"id":"https://openalex.org/C2778459887","wikidata":"https://www.wikidata.org/wiki/Q6787865","display_name":"Matrix completion","level":3,"score":0.5407154560089111},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.5238285660743713},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.49084407091140747},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4510740637779236},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3877406120300293},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3538670241832733},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32100504636764526},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3203850984573364},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1886349618434906},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.1858445703983307},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.17656150460243225},{"id":"https://openalex.org/C147597530","wikidata":"https://www.wikidata.org/wiki/Q369472","display_name":"Computational chemistry","level":1,"score":0.10639545321464539},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.07971671223640442},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.07673066854476929},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.07290711998939514},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0669369101524353},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2023.3293888","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3293888","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:37527325","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37527325","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 neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W158199325","https://openalex.org/W1993292006","https://openalex.org/W2005791255","https://openalex.org/W2023221658","https://openalex.org/W2031248101","https://openalex.org/W2053745833","https://openalex.org/W2082367612","https://openalex.org/W2100874881","https://openalex.org/W2103972604","https://openalex.org/W2118550318","https://openalex.org/W2131321253","https://openalex.org/W2150382423","https://openalex.org/W2153635508","https://openalex.org/W2163198669","https://openalex.org/W2171388940","https://openalex.org/W2213712841","https://openalex.org/W2246035736","https://openalex.org/W2267569616","https://openalex.org/W2293711698","https://openalex.org/W2324940279","https://openalex.org/W2338065876","https://openalex.org/W2529668197","https://openalex.org/W2611328865","https://openalex.org/W2741773562","https://openalex.org/W2747102432","https://openalex.org/W2757181078","https://openalex.org/W2760834907","https://openalex.org/W2775259072","https://openalex.org/W2788048701","https://openalex.org/W2790517324","https://openalex.org/W2796838491","https://openalex.org/W2800276980","https://openalex.org/W2803869221","https://openalex.org/W2807787126","https://openalex.org/W2810580872","https://openalex.org/W2811031193","https://openalex.org/W2889051699","https://openalex.org/W2932421136","https://openalex.org/W2940902102","https://openalex.org/W2962944036","https://openalex.org/W2976060347","https://openalex.org/W2997999303","https://openalex.org/W2999592897","https://openalex.org/W3117488606","https://openalex.org/W6600721486","https://openalex.org/W6675992320","https://openalex.org/W6679490728","https://openalex.org/W6679676526","https://openalex.org/W6752434656"],"related_works":["https://openalex.org/W2594023433","https://openalex.org/W2106005123","https://openalex.org/W1969698720","https://openalex.org/W2964006653","https://openalex.org/W2788826952","https://openalex.org/W4302315572","https://openalex.org/W3038662035","https://openalex.org/W2325477568","https://openalex.org/W2963858139","https://openalex.org/W2810415161"],"abstract_inverted_index":{"Traditional":[0],"support":[1,217],"vector":[2],"machines":[3],"(SVMs)":[4],"are":[5,56,90],"fragile":[6],"in":[7,122,206],"the":[8,21,24,44,54,123,137,143,170,176,188,207],"presence":[9,124,208],"of":[10,23,31,46,53,80,85,94,119,125,136,145,173,209,216],"outliers;":[11],"even":[12,27],"a":[13,28,51,95,100,133,213],"single":[14],"corrupt":[15],"data":[16,48,89,126],"point":[17],"can":[18],"arbitrarily":[19,57],"alter":[20],"quality":[22],"approximation.":[25],"If":[26],"small":[29],"fraction":[30],"columns":[32,55],"is":[33,70,112,132],"corrupted,":[34],"then":[35],"classification":[36,76],"performance":[37],"will":[38],"inevitably":[39],"deteriorate.":[40],"This":[41],"article":[42],"considers":[43],"problem":[45],"high-dimensional":[47,159],"classification,":[49],"where":[50],"number":[52,215],"corrupted.":[58,128],"An":[59],"efficient":[60],"Support":[61],"Matrix":[62],"Machine":[63],"that":[64],"simultaneously":[65],"performs":[66],"matrix":[67,98,118,146],"Recovery":[68],"(SSMRe)":[69],"proposed,":[71],"i.e.":[72],"feature":[73],"selection":[74],"and":[75,108,111,152,191,201],"through":[77],"joint":[78,153],"minimization":[79],"l<sub>2,1</sub>":[81],"(the":[82],"nuclear":[83],"norm":[84],"L":[86],").":[87],"The":[88,129],"assumed":[91],"to":[92,114,155],"consist":[93],"low-rank":[96],"clean":[97],"plus":[99],"sparse":[101],"noisy":[102,160],"matrix.":[103],"SSMRe":[104,163],"works":[105],"under":[106],"incoherence":[107],"ambiguity":[109],"conditions":[110],"able":[113],"recover":[115],"an":[116],"intrinsic":[117,171],"higher":[120],"rank":[121,151],"densely":[127],"objective":[130],"function":[131],"spectral":[134],"extension":[135],"conventional":[138],"elastic":[139],"net;":[140],"it":[141],"combines":[142],"property":[144],"recovery":[147],"along":[148],"with":[149,157],"low":[150],"sparsity":[154],"deal":[156],"complex":[158],"data.":[161],"Furthermore,":[162],"leverages":[164],"structural":[165],"information,":[166],"as":[167,169],"well":[168],"structure":[172],"data,":[174],"avoiding":[175],"inevitable":[177],"upper":[178],"bound.":[179],"Experimental":[180],"results":[181],"on":[182],"different":[183],"real-time":[184],"applications,":[185],"supported":[186],"by":[187],"theoretical":[189],"analysis":[190],"statistical":[192],"testing,":[193],"show":[194],"significant":[195],"gain":[196],"for":[197],"BCI,":[198],"face":[199],"recognition,":[200],"person":[202],"identification":[203],"datasets,":[204],"especially":[205],"outliers,":[210],"while":[211],"preserving":[212],"reasonable":[214],"vectors.":[218]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}