{"id":"https://openalex.org/W3115912826","doi":"https://doi.org/10.1109/tetci.2020.3042268","title":"Non-Negative Sparse PCA: An Intelligible Exact Approach","display_name":"Non-Negative Sparse PCA: An Intelligible Exact Approach","publication_year":2020,"publication_date":"2020-12-23","ids":{"openalex":"https://openalex.org/W3115912826","doi":"https://doi.org/10.1109/tetci.2020.3042268","mag":"3115912826"},"language":"en","primary_location":{"id":"doi:10.1109/tetci.2020.3042268","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2020.3042268","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"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 Emerging Topics in Computational Intelligence","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/A5071973954","display_name":"Ioannis Tsingalis","orcid":"https://orcid.org/0000-0003-2590-325X"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Ioannis Tsingalis","raw_affiliation_strings":["School of Informatics, Aristotle University, Thessaloniki, Greece"],"affiliations":[{"raw_affiliation_string":"School of Informatics, Aristotle University, Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065184406","display_name":"Constantine Kotropoulos","orcid":"https://orcid.org/0000-0001-9939-7930"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Constantine Kotropoulos","raw_affiliation_strings":["School of Informatics, Aristotle University, Thessaloniki, Greece"],"affiliations":[{"raw_affiliation_string":"School of Informatics, Aristotle University, Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109397355","display_name":"Anastasios Drosou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210093649","display_name":"Information Technologies Institute","ror":"https://ror.org/0069akp70","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210093649"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Anastasios Drosou","raw_affiliation_strings":["Informatics and Telematics Institute, Centre for Research and Technology, Thessaloniki, Greece"],"affiliations":[{"raw_affiliation_string":"Informatics and Telematics Institute, Centre for Research and Technology, Thessaloniki, Greece","institution_ids":["https://openalex.org/I4210093649"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087452615","display_name":"Dimitrios Tzovaras","orcid":"https://orcid.org/0000-0001-6915-6722"},"institutions":[{"id":"https://openalex.org/I4210093649","display_name":"Information Technologies Institute","ror":"https://ror.org/0069akp70","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210093649"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Dimitrios Tzovaras","raw_affiliation_strings":["Informatics and Telematics Institute, Centre for Research and Technology, Thessaloniki, Greece"],"affiliations":[{"raw_affiliation_string":"Informatics and Telematics Institute, Centre for Research and Technology, Thessaloniki, Greece","institution_ids":["https://openalex.org/I4210093649"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5071973954"],"corresponding_institution_ids":["https://openalex.org/I21370196"],"apc_list":null,"apc_paid":null,"fwci":0.4571,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.63506086,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"6","issue":"1","first_page":"192","last_page":"204"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9979000091552734,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9955000281333923,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.713749885559082},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6713051795959473},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.6649277806282043},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6272988319396973},{"id":"https://openalex.org/keywords/sparse-pca","display_name":"Sparse PCA","score":0.5815001130104065},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.5661450028419495},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5590194463729858},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.4769255518913269},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.458393931388855},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.44886764883995056},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.44156694412231445},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4234570860862732},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4120635986328125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35375866293907166},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.304843008518219},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08254313468933105}],"concepts":[{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.713749885559082},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6713051795959473},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.6649277806282043},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6272988319396973},{"id":"https://openalex.org/C24252448","wikidata":"https://www.wikidata.org/wiki/Q7573786","display_name":"Sparse PCA","level":3,"score":0.5815001130104065},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.5661450028419495},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5590194463729858},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.4769255518913269},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.458393931388855},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.44886764883995056},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.44156694412231445},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4234570860862732},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4120635986328125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35375866293907166},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.304843008518219},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08254313468933105},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tetci.2020.3042268","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2020.3042268","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"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 Emerging Topics in Computational Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.4699999988079071,"display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G7117861073","display_name":null,"funder_award_id":"ASPENDYS_ T1E \u0394 K-02264","funder_id":"https://openalex.org/F4320321917","funder_display_name":"General Secretariat for Research and Technology"}],"funders":[{"id":"https://openalex.org/F4320321917","display_name":"General Secretariat for Research and Technology","ror":"https://ror.org/04yeh8h63"},{"id":"https://openalex.org/F4320327859","display_name":"Hellenic Foundation for Research and Innovation","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W108615132","https://openalex.org/W1489499640","https://openalex.org/W1551134357","https://openalex.org/W1576891459","https://openalex.org/W1902027874","https://openalex.org/W1915802403","https://openalex.org/W1975900269","https://openalex.org/W2010320682","https://openalex.org/W2023963201","https://openalex.org/W2085366421","https://openalex.org/W2110503968","https://openalex.org/W2112796928","https://openalex.org/W2130426352","https://openalex.org/W2140065105","https://openalex.org/W2141261622","https://openalex.org/W2144383041","https://openalex.org/W2145962650","https://openalex.org/W2153580489","https://openalex.org/W2158698691","https://openalex.org/W2164743749","https://openalex.org/W2586284062","https://openalex.org/W2596580328","https://openalex.org/W2750384547","https://openalex.org/W2768089427","https://openalex.org/W2788615138","https://openalex.org/W2791154158","https://openalex.org/W2956105041","https://openalex.org/W2962801101","https://openalex.org/W2963917064","https://openalex.org/W2970740967","https://openalex.org/W2992689909","https://openalex.org/W2997426872","https://openalex.org/W3036889964","https://openalex.org/W3041063529","https://openalex.org/W3100202987","https://openalex.org/W3122035786","https://openalex.org/W3134223578","https://openalex.org/W4213251304","https://openalex.org/W4239264838","https://openalex.org/W4254315244","https://openalex.org/W4301621763","https://openalex.org/W6601490033","https://openalex.org/W6631943919","https://openalex.org/W6674103019","https://openalex.org/W6681090366","https://openalex.org/W6682133450","https://openalex.org/W6687134308","https://openalex.org/W6713161955","https://openalex.org/W6743688258","https://openalex.org/W6764713434","https://openalex.org/W6767164110","https://openalex.org/W6779969628"],"related_works":["https://openalex.org/W2091883426","https://openalex.org/W2788769272","https://openalex.org/W2174948646","https://openalex.org/W3173235360","https://openalex.org/W2024017047","https://openalex.org/W4318256793","https://openalex.org/W2232685869","https://openalex.org/W2949527996","https://openalex.org/W2594370889","https://openalex.org/W2134327945"],"abstract_inverted_index":{"An":[0],"iterative":[1,16],"method":[2,21,87,114],"for":[3,26],"the":[4,19,37,40,52,57,79,83,86,98],"computation":[5,38],"of":[6,18,39,85],"a":[7],"non-negative":[8,53],"sparse":[9,63],"principal":[10],"component":[11],"basis":[12],"is":[13,43,90,104,115],"presented.":[14],"The":[15,112],"nature":[17],"proposed":[20,113],"enables":[22],"online":[23],"learning,":[24],"useful":[25],"time-evolving":[27],"data,":[28],"such":[29],"as":[30],"stock":[31],"price":[32],"time":[33],"series.":[34],"This":[35],"way,":[36],"covariance":[41],"matrix":[42],"avoided":[44],"whenever":[45],"new":[46],"data":[47],"become":[48],"available.":[49],"Due":[50],"to":[51,61,75,118],"constraints":[54],"explicitly":[55],"enforced,":[56],"extracted":[58],"eigenvectors":[59],"turn":[60],"be":[62,76],"without":[64],"employing":[65],"any":[66],"sparsity":[67],"controlling":[68],"parameter.":[69],"Accordingly,":[70],"only":[71],"one":[72],"parameter":[73],"has":[74],"tuned,":[77],"i.e.,":[78],"learning":[80],"rate.":[81],"Also,":[82],"complexity":[84],"under":[88,93],"study":[89],"approximately":[91],"linear":[92],"plausible":[94],"assumptions.":[95],"To":[96],"assess":[97],"method’s":[99],"performance,":[100],"comprehensive":[101],"experimental":[102,123],"evaluation":[103],"conducted":[105],"on":[106],"both":[107],"image":[108],"and":[109,120],"financial":[110],"data.":[111],"thoroughly":[116],"compared":[117],"state-of-the-art":[119],"yields":[121],"promising":[122],"findings.":[124]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}