{"id":"https://openalex.org/W4402385495","doi":"https://doi.org/10.34028/iajit/21/5/3","title":"Semi-Supervised Kernel Discriminative Low-Rank Ridge Regression for Data Classification","display_name":"Semi-Supervised Kernel Discriminative Low-Rank Ridge Regression for Data Classification","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402385495","doi":"https://doi.org/10.34028/iajit/21/5/3"},"language":"en","primary_location":{"id":"doi:10.34028/iajit/21/5/3","is_oa":true,"landing_page_url":"https://doi.org/10.34028/iajit/21/5/3","pdf_url":"https://doi.org/10.34028/iajit/21/5/3","source":{"id":"https://openalex.org/S100666833","display_name":"The International Arab Journal of Information Technology","issn_l":"1683-3198","issn":["1683-3198","2309-4524"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4362726017","host_organization_name":"Zarqa University","host_organization_lineage":["https://openalex.org/P4362726017"],"host_organization_lineage_names":["Zarqa University"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Arab Journal of Information Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.34028/iajit/21/5/3","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037290686","display_name":"Qi Zhu","orcid":"https://orcid.org/0000-0001-7740-292X"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Zhu","raw_affiliation_strings":["School of Computer Science and Technology , Hangzhou Dianzi University , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology , Hangzhou Dianzi University , China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056881797","display_name":"Yong Peng","orcid":"https://orcid.org/0000-0003-1208-972X"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Peng","raw_affiliation_strings":["School of Computer Science and Technology , Hangzhou Dianzi University , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology , Hangzhou Dianzi University , China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":null,"apc_paid":null,"fwci":0.5431,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66003638,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"21","issue":"5","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.8826000094413757,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T10876","display_name":"Fault Detection and Control Systems","score":0.8826000094413757,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.7886000275611877,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.7462999820709229,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8042745590209961},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7673988938331604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5835250616073608},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5365910530090332},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.520532488822937},{"id":"https://openalex.org/keywords/ridge","display_name":"Ridge","score":0.4730752408504486},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4299040138721466},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37104469537734985},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2572171688079834},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1327754259109497},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.07821381092071533}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8042745590209961},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7673988938331604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5835250616073608},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5365910530090332},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.520532488822937},{"id":"https://openalex.org/C32277403","wikidata":"https://www.wikidata.org/wiki/Q740445","display_name":"Ridge","level":2,"score":0.4730752408504486},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4299040138721466},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37104469537734985},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2572171688079834},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1327754259109497},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.07821381092071533},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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":1,"locations":[{"id":"doi:10.34028/iajit/21/5/3","is_oa":true,"landing_page_url":"https://doi.org/10.34028/iajit/21/5/3","pdf_url":"https://doi.org/10.34028/iajit/21/5/3","source":{"id":"https://openalex.org/S100666833","display_name":"The International Arab Journal of Information Technology","issn_l":"1683-3198","issn":["1683-3198","2309-4524"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4362726017","host_organization_name":"Zarqa University","host_organization_lineage":["https://openalex.org/P4362726017"],"host_organization_lineage_names":["Zarqa University"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Arab Journal of Information Technology","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.34028/iajit/21/5/3","is_oa":true,"landing_page_url":"https://doi.org/10.34028/iajit/21/5/3","pdf_url":"https://doi.org/10.34028/iajit/21/5/3","source":{"id":"https://openalex.org/S100666833","display_name":"The International Arab Journal of Information Technology","issn_l":"1683-3198","issn":["1683-3198","2309-4524"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4362726017","host_organization_name":"Zarqa University","host_organization_lineage":["https://openalex.org/P4362726017"],"host_organization_lineage_names":["Zarqa University"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Arab Journal of Information Technology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3796051837","display_name":null,"funder_award_id":"2023YFE0114900","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320322724","display_name":"Ministry of Education, India","ror":"https://ror.org/048xjjh50"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4402385495.pdf","grobid_xml":"https://content.openalex.org/works/W4402385495.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W3148196241","https://openalex.org/W1606169643","https://openalex.org/W1977912248","https://openalex.org/W3092773549","https://openalex.org/W2122926592"],"abstract_inverted_index":{"Regression":[0,105],"problem":[1,137],"is":[2,51,108,125,152],"currently":[3],"a":[4,73,96],"popular":[5],"research":[6,17],"topic":[7],"in":[8,54,89,138,147,187],"the":[9,23,41,44,65,70,123,134,144,148,155,163,178,184],"field":[10],"of":[11,43,67,157],"machine":[12],"learning.":[13],"However,":[14],"most":[15],"existing":[16],"directly":[18],"performs":[19,29],"linear":[20,135],"classification":[21,30,62,80,83,91,185],"on":[22,171],"data":[24,49,71,82,111,124,174],"after":[25,31],"simple":[26,97],"preprocessing,":[27],"or":[28],"feature":[32],"selection.":[33],"It":[34,86],"usually":[35],"does":[36],"not":[37],"take":[38],"into":[39,72,128,154],"account":[40],"characteristics":[42],"sample":[45],"itself,":[46],"especially":[47],"for":[48,110],"that":[50,177],"linearly":[52],"inseparable":[53],"original":[55,139],"dimensional":[56,140],"space":[57,75,130],"and":[58,117,142,168],"often":[59],"produces":[60],"unsatisfactory":[61,90],"performance.":[63,92],"Furthermore,":[64],"method":[66],"simply":[68],"mapping":[69],"kernel":[74,77,115,129],"using":[76],"trick":[78,116],"before":[79],"makes":[81],"more":[84],"complex.":[85],"also":[87],"results":[88],"In":[93],"this":[94],"paper,":[95],"yet":[98],"effective":[99],"semi-supervised":[100],"Kernel":[101],"discriminative":[102],"Low-Rank":[103],"Ridge":[104],"(KLRRR)":[106],"model":[107,181],"proposed":[109,179],"classification,":[112],"which":[113],"unifies":[114],"discriminant":[118,165],"subspace":[119,166],"projection":[120,145,167],"together.":[121],"Specifically,":[122],"first":[126],"mapped":[127],"to":[131,161],"deal":[132],"with":[133,189],"inseparability":[136],"space,":[141],"then":[143],"matrix":[146],"least":[149],"square":[150],"regression":[151],"decomposed":[153],"product":[156],"two":[158],"factor":[159],"matrices":[160],"complete":[162],"joint":[164],"regression.":[169],"Experiments":[170],"12":[172],"benchmark":[173],"sets":[175],"show":[176],"KLRRR":[180],"greatly":[182],"improves":[183],"performance":[186],"comparison":[188],"some":[190],"state-of-the-arts.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
