{"id":"https://openalex.org/W3044243580","doi":"https://doi.org/10.1109/access.2020.3010974","title":"Enhanced PSSV for Incomplete Data Analysis","display_name":"Enhanced PSSV for Incomplete Data Analysis","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3044243580","doi":"https://doi.org/10.1109/access.2020.3010974","mag":"3044243580"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3010974","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3010974","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09145760.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":"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://ieeexplore.ieee.org/ielx7/6287639/8948470/09145760.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044250240","display_name":"Weimin Hou","orcid":"https://orcid.org/0000-0003-1130-1151"},"institutions":[{"id":"https://openalex.org/I34155123","display_name":"Hebei University of Science and Technology","ror":"https://ror.org/05h3pkk68","country_code":"CN","type":"education","lineage":["https://openalex.org/I34155123"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weimin Hou","raw_affiliation_strings":["School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, China","institution_ids":["https://openalex.org/I34155123"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101584016","display_name":"Qin Li","orcid":"https://orcid.org/0000-0001-5220-9090"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qin Li","raw_affiliation_strings":["School of Information Engineering, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5220-9090","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]}],"institutions":[],"countries_distinct_count":1,"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":0.08422628,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":null,"first_page":"133974","last_page":"133981"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9997000098228455,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/outlier","display_name":"Outlier","score":0.6698133945465088},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.6316288709640503},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6178072094917297},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6111744046211243},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.5726104974746704},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.552821695804596},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.5361219644546509},{"id":"https://openalex.org/keywords/matrix-norm","display_name":"Matrix norm","score":0.5207743048667908},{"id":"https://openalex.org/keywords/singular-value","display_name":"Singular value","score":0.5125353336334229},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.49781227111816406},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.485780268907547},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4758610129356384},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.4606904983520508},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.451890766620636},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44958212971687317},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.4215811491012573},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41230183839797974},{"id":"https://openalex.org/keywords/robust-principal-component-analysis","display_name":"Robust principal component analysis","score":0.41062265634536743},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3909042477607727},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.2110859751701355},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14677557349205017}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6698133945465088},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.6316288709640503},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6178072094917297},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6111744046211243},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.5726104974746704},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.552821695804596},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.5361219644546509},{"id":"https://openalex.org/C92207270","wikidata":"https://www.wikidata.org/wiki/Q939253","display_name":"Matrix norm","level":3,"score":0.5207743048667908},{"id":"https://openalex.org/C109282560","wikidata":"https://www.wikidata.org/wiki/Q4166054","display_name":"Singular value","level":3,"score":0.5125353336334229},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.49781227111816406},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.485780268907547},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4758610129356384},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.4606904983520508},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.451890766620636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44958212971687317},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.4215811491012573},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41230183839797974},{"id":"https://openalex.org/C2777749129","wikidata":"https://www.wikidata.org/wiki/Q17148469","display_name":"Robust principal component analysis","level":3,"score":0.41062265634536743},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3909042477607727},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.2110859751701355},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14677557349205017},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3010974","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3010974","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09145760.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":"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:422d6d738e4c4024a605af89278ce19b","is_oa":true,"landing_page_url":"https://doaj.org/article/422d6d738e4c4024a605af89278ce19b","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 8, Pp 133974-133981 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3010974","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3010974","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09145760.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":"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":0.5,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3044243580.pdf","grobid_xml":"https://content.openalex.org/works/W3044243580.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W653074768","https://openalex.org/W1482071412","https://openalex.org/W1634387560","https://openalex.org/W1969698720","https://openalex.org/W1974042113","https://openalex.org/W2009702064","https://openalex.org/W2028302281","https://openalex.org/W2053090063","https://openalex.org/W2081297271","https://openalex.org/W2098693229","https://openalex.org/W2106210113","https://openalex.org/W2109240917","https://openalex.org/W2124787044","https://openalex.org/W2145962650","https://openalex.org/W2149532724","https://openalex.org/W2155759509","https://openalex.org/W2164278908","https://openalex.org/W2493797228","https://openalex.org/W2699934687","https://openalex.org/W2741989487","https://openalex.org/W2769417998","https://openalex.org/W2789007121","https://openalex.org/W2906621894","https://openalex.org/W2964214749","https://openalex.org/W2970392982","https://openalex.org/W6636842494","https://openalex.org/W6684379799","https://openalex.org/W6767820044"],"related_works":["https://openalex.org/W2890107589","https://openalex.org/W4390143385","https://openalex.org/W2060132011","https://openalex.org/W2802788970","https://openalex.org/W3099330257","https://openalex.org/W3104099693","https://openalex.org/W3174042135","https://openalex.org/W4366831400","https://openalex.org/W2730482097","https://openalex.org/W4295239187"],"abstract_inverted_index":{"Partial":[0,26],"Sum":[1,27],"Minimization":[2,28],"of":[3,29,35,87,101,136],"Singular":[4,30],"Values":[5],"(PSSV)":[6],"is":[7,41,46,50],"a":[8],"powerful":[9],"tool":[10],"for":[11,57],"image":[12,129],"denoising,":[13,130],"matrix":[14],"completion":[15],"and":[16,75,92,127,131],"recovering":[17],"underlying":[18],"low-rank":[19],"structure":[20],"from":[21,83,114,123],"the":[22,33,67,85,99,102,110,115,124,134,137],"corrupted":[23,47],"data":[24,40,45,113,116],"via":[25],"Values.":[31],"However,":[32],"performance":[34],"PSSV":[36,71,74],"degenerates":[37],"remarkably":[38],"when":[39],"incomplete":[42,125],"or":[43],"some":[44],"completely,":[48],"which":[49],"usually":[51],"faced":[52],"in":[53,70],"real":[54],"applications":[55],"especial":[56],"video":[58],"sequence":[59],"analysis.":[60],"To":[61],"handle":[62],"this":[63],"problem,":[64],"we":[65],"impose":[66],"variance":[68],"regularization":[69],"by":[72],"analyzing":[73],"truncated":[76],"nuclear":[77],"norm.":[78],"Our":[79],"proposed":[80,138],"model":[81],"benefits":[82],"1)":[84],"robustness":[86],"principal":[88],"components":[89],"to":[90],"outliers":[91],"missing":[93,111],"values.":[94],"2)":[95],"It":[96,107],"can":[97,108],"guarantee":[98],"compactness":[100],"learned":[103],"clean":[104],"data.":[105],"3)":[106],"recover":[109],"sample":[112],"matrix.":[117],"Experimental":[118],"results":[119],"on":[120],"background":[121],"extraction":[122],"videos":[126],"data,":[128],"clustering":[132],"illustrate":[133],"effectiveness":[135],"approach.":[139]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}