{"id":"https://openalex.org/W4409983003","doi":"https://doi.org/10.1137/1.9781611978520.11","title":"\u2113<sub>1,\u221e</sub> Mixed Norm Promoted Row Sparsity for Fast Online CUR Decomposition Learning in Varying Feature Spaces","display_name":"\u2113<sub>1,\u221e</sub> Mixed Norm Promoted Row Sparsity for Fast Online CUR Decomposition Learning in Varying Feature Spaces","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4409983003","doi":"https://doi.org/10.1137/1.9781611978520.11"},"language":"en","primary_location":{"id":"doi:10.1137/1.9781611978520.11","is_oa":false,"landing_page_url":"https://doi.org/10.1137/1.9781611978520.11","pdf_url":null,"source":{"id":"https://openalex.org/S4306463922","display_name":"Society for Industrial and Applied Mathematics eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 SIAM International Conference on Data Mining (SDM)","raw_type":"book-chapter"},"type":"book-chapter","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/A5100430415","display_name":"Zhong Chen","orcid":"https://orcid.org/0000-0002-7483-9699"},"institutions":[{"id":"https://openalex.org/I110378019","display_name":"Southern Illinois University Carbondale","ror":"https://ror.org/049kefs16","country_code":"US","type":"education","lineage":["https://openalex.org/I110378019","https://openalex.org/I2801502357"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhong Chen","raw_affiliation_strings":["Southern Illinois University Carbondale"],"affiliations":[{"raw_affiliation_string":"Southern Illinois University Carbondale","institution_ids":["https://openalex.org/I110378019"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100702364","display_name":"Yi He","orcid":"https://orcid.org/0000-0002-5357-6623"},"institutions":[{"id":"https://openalex.org/I16285277","display_name":"William & Mary","ror":"https://ror.org/03hsf0573","country_code":"US","type":"education","lineage":["https://openalex.org/I16285277"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi He","raw_affiliation_strings":["The College of William & Mary"],"affiliations":[{"raw_affiliation_string":"The College of William & Mary","institution_ids":["https://openalex.org/I16285277"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100602151","display_name":"Di Wu","orcid":"https://orcid.org/0000-0002-7788-9202"},"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":"Di Wu","raw_affiliation_strings":["Southwest University"],"affiliations":[{"raw_affiliation_string":"Southwest University","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100710814","display_name":"Wenbin Zhang","orcid":"https://orcid.org/0000-0003-3024-5415"},"institutions":[{"id":"https://openalex.org/I19700959","display_name":"Florida International University","ror":"https://ror.org/02gz6gg07","country_code":"US","type":"education","lineage":["https://openalex.org/I19700959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenbin Zhang","raw_affiliation_strings":["Florida International University"],"affiliations":[{"raw_affiliation_string":"Florida International University","institution_ids":["https://openalex.org/I19700959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086287153","display_name":"Zhiqiang Deng","orcid":"https://orcid.org/0000-0002-9245-2826"},"institutions":[{"id":"https://openalex.org/I121820613","display_name":"Louisiana State University","ror":"https://ror.org/05ect4e57","country_code":"US","type":"education","lineage":["https://openalex.org/I121820613"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhiqiang Deng","raw_affiliation_strings":["Louisiana State University"],"affiliations":[{"raw_affiliation_string":"Louisiana State University","institution_ids":["https://openalex.org/I121820613"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100430415"],"corresponding_institution_ids":["https://openalex.org/I110378019"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18070352,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"124","last_page":"133"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12676","display_name":"Machine Learning and ELM","score":0.957099974155426,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9438999891281128,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.6395294070243835},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5551066994667053},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47814807295799255},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4390451908111572},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3321855664253235},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.10037517547607422},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.04352700710296631}],"concepts":[{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.6395294070243835},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5551066994667053},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47814807295799255},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4390451908111572},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3321855664253235},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.10037517547607422},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.04352700710296631},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1137/1.9781611978520.11","is_oa":false,"landing_page_url":"https://doi.org/10.1137/1.9781611978520.11","pdf_url":null,"source":{"id":"https://openalex.org/S4306463922","display_name":"Society for Industrial and Applied Mathematics eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 SIAM International Conference on Data Mining (SDM)","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4391375266","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2142036596","https://openalex.org/W2072657027"],"abstract_inverted_index":{"Online":[0],"learning":[1,21],"enables":[2],"effective":[3],"predictive":[4],"modeling":[5],"on":[6,43,102,126],"complex":[7],"data":[8,53,84],"streams.":[9],"To":[10],"overcome":[11],"the":[12,33,51,103,115,131],"negative":[13],"impact":[14],"of":[15,133,141],"possibly":[16],"high-dimensional":[17],"data,":[18],"sparse":[19,29],"online":[20,96,120],"(SOL)":[22],"has":[23],"been":[24],"proposed":[25],"by":[26],"imposing":[27],"various":[28],"constraints":[30],"to":[31,64,82,107],"sheer":[32],"resultant":[34],"model":[35,145],"structure.":[36],"However,":[37],"most":[38],"existing":[39],"SOL":[40,79],"studies":[41],"focused":[42],"a":[44,73,94],"fixed":[45],"feature":[46,61,66,88],"space,":[47],"whereas":[48],"in":[49,57,86,114,139],"practice":[50],"steaming":[52],"observations":[54],"may":[55],"increment":[56],"both":[58],"quantity":[59],"and":[60,109,144],"dimensions,":[62],"leading":[63],"varying":[65,87],"spaces.":[67,89],"In":[68],"this":[69],"paper,":[70],"we":[71],"propose":[72],"novel":[74],"\u21131,\u221e-mixed":[75],"norm-based":[76],"row":[77,105],"sparsity":[78,106],"algorithm":[80],"(SOOFS)":[81],"handle":[83],"streams":[85],"We":[90],"empower":[91],"SOOFS":[92,134],"with":[93],"tailored":[95],"CUR":[97],"matrix":[98],"decomposition":[99],"method":[100],"based":[101],"promoted":[104],"actively":[108],"adaptively":[110],"select":[111],"informative":[112],"instances":[113],"sliding":[116],"windows,":[117],"facilitating":[118],"stable":[119],"performance":[121],"over":[122,135],"time.":[123],"Empirical":[124],"results":[125],"ten":[127],"benchmark":[128],"datasets":[129],"substantiate":[130],"superiority":[132],"three":[136],"state-of-the-art":[137],"competitors":[138],"terms":[140],"classification":[142],"accuracy":[143],"sparsity.":[146]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}