{"id":"https://openalex.org/W2904639925","doi":"https://doi.org/10.1109/access.2018.2885982","title":"Image Classification Using Low-Rank Regularized Extreme Learning Machine","display_name":"Image Classification Using Low-Rank Regularized Extreme Learning Machine","publication_year":2018,"publication_date":"2018-12-10","ids":{"openalex":"https://openalex.org/W2904639925","doi":"https://doi.org/10.1109/access.2018.2885982","mag":"2904639925"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2885982","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2885982","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08571235.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":null,"license_id":null,"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/ielx7/6287639/8600701/08571235.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101584016","display_name":"Qin Li","orcid":"https://orcid.org/0000-0001-5220-9090"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qin Li","raw_affiliation_strings":["School of Software Engineering, Shenzhen Institute of Information Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Shenzhen Institute of Information Technology, Shenzhen, China","institution_ids":["https://openalex.org/I158809036"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100356025","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0002-9265-5842"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["The State Key Laboratory of Integrated Services Networks, Xidian University, Xi\u2019an, China","The State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-9265-5842","affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Integrated Services Networks, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"The State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045388407","display_name":"Shujian Wang","orcid":"https://orcid.org/0000-0003-4711-055X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shujian Wang","raw_affiliation_strings":["The State Key Laboratory of Integrated Services Networks, Xidian University, Xi\u2019an, China","The State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Integrated Services Networks, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"The State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048220966","display_name":"Quanxue Gao","orcid":"https://orcid.org/0000-0001-5082-2940"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quanxue Gao","raw_affiliation_strings":["The State Key Laboratory of Integrated Services Networks, Xidian University, Xi\u2019an, China","The State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Integrated Services Networks, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"The State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":null,"display_name":"Xinbo Gao","orcid":"https://orcid.org/0000-0003-1443-0776"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinbo Gao","raw_affiliation_strings":["The State Key Laboratory of Integrated Services Networks, Xidian University, Xi\u2019an, China","The State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-1443-0776","affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Integrated Services Networks, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"The State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"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":0.6758,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.7859092,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"7","issue":null,"first_page":"877","last_page":"883"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":1.0,"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/T12676","display_name":"Machine Learning and ELM","score":1.0,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.989300012588501,"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/T10057","display_name":"Face and Expression Recognition","score":0.9886000156402588,"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/extreme-learning-machine","display_name":"Extreme learning machine","score":0.9594996571540833},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6853936314582825},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6389965415000916},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6203871369361877},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5302507281303406},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5163658857345581},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.462886780500412},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.42695915699005127},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20753327012062073},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.11961749196052551}],"concepts":[{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.9594996571540833},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6853936314582825},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6389965415000916},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6203871369361877},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5302507281303406},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5163658857345581},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.462886780500412},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.42695915699005127},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20753327012062073},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.11961749196052551},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2885982","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2885982","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08571235.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:21305aebed7940779779239301e1f3ec","is_oa":true,"landing_page_url":"https://doaj.org/article/21305aebed7940779779239301e1f3ec","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 7, Pp 877-883 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2885982","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2885982","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08571235.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6700000166893005}],"awards":[{"id":"https://openalex.org/G419594110","display_name":null,"funder_award_id":"JCYJ20160530141902978","funder_id":"https://openalex.org/F4320335803","funder_display_name":"Shenzhen Fundamental Research and Discipline Layout project"},{"id":"https://openalex.org/G6304910582","display_name":null,"funder_award_id":"61773302","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335803","display_name":"Shenzhen Fundamental Research and Discipline Layout project","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2904639925.pdf","grobid_xml":"https://content.openalex.org/works/W2904639925.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1482998036","https://openalex.org/W1736339626","https://openalex.org/W1996232089","https://openalex.org/W2017453188","https://openalex.org/W2026131661","https://openalex.org/W2042184006","https://openalex.org/W2047028564","https://openalex.org/W2078622091","https://openalex.org/W2079598971","https://openalex.org/W2103972604","https://openalex.org/W2119821739","https://openalex.org/W2123921160","https://openalex.org/W2134603844","https://openalex.org/W2155759509","https://openalex.org/W2158054309","https://openalex.org/W2171837816","https://openalex.org/W2301541953","https://openalex.org/W2994340921","https://openalex.org/W3023058184","https://openalex.org/W4234173777","https://openalex.org/W4238371321","https://openalex.org/W4239510810","https://openalex.org/W4298082496","https://openalex.org/W6635552349","https://openalex.org/W6679935922"],"related_works":["https://openalex.org/W2067443264","https://openalex.org/W31566076","https://openalex.org/W4297902562","https://openalex.org/W2741186499","https://openalex.org/W2804652951","https://openalex.org/W2968645206","https://openalex.org/W2556335056","https://openalex.org/W2002678693","https://openalex.org/W2743832667","https://openalex.org/W2969890106"],"abstract_inverted_index":{"Extreme":[0],"learning":[1,6,12,18,45],"machine":[2,11,46],"(ELM),":[3],"a":[4,9,41],"least-square-based":[5],"algorithm,":[7],"is":[8,47,89],"competitive":[10],"method":[13],"and":[14,25,72],"provides":[15],"efficient":[16],"unified":[17],"solutions":[19],"for":[20,92,118],"the":[21,34,54,68,83,105],"applications":[22],"of":[23,77],"classification":[24],"regression.":[26],"However,":[27],"most":[28],"existing":[29],"models":[30],"do":[31],"not":[32],"consider":[33],"relationship":[35],"between":[36],"features.":[37],"In":[38],"this":[39,63],"paper,":[40],"low-rank":[42,51],"regularized":[43],"extreme":[44],"proposed":[48,106],"by":[49],"imposing":[50],"constraints":[52],"with":[53,85,114],"extracted":[55],"features":[56],"that":[57,104],"are":[58],"related":[59],"on":[60,97],"ELM.":[61],"By":[62],"method,":[64],"our":[65],"model":[66,107],"preserves":[67],"global":[69],"geometric":[70],"structure":[71],"simultaneously":[73],"encodes":[74],"discriminant":[75],"information":[76],"data.":[78],"Meanwhile,":[79],"it":[80],"can":[81],"attain":[82],"solution":[84],"minimum":[86],"norm,":[87],"which":[88],"very":[90],"important":[91],"ELM":[93,112],"model.":[94],"Extensive":[95],"experiments":[96],"four":[98],"widely":[99],"used":[100],"face":[101],"datasets":[102],"illustrate":[103],"achieves":[108],"better":[109],"performance":[110],"than":[111],"algorithms":[113],"other":[115],"regularization":[116],"terms":[117],"image":[119],"classification.":[120]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}