{"id":"https://openalex.org/W4232653229","doi":"https://doi.org/10.1109/icpr.2004.1334541","title":"Critical vector learning to construct RBF classifiers","display_name":"Critical vector learning to construct RBF classifiers","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W4232653229","doi":"https://doi.org/10.1109/icpr.2004.1334541"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2004.1334541","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334541","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","raw_type":"proceedings-article"},"type":"conference-paper","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/A5004033338","display_name":"Dongyuan Shi","orcid":"https://orcid.org/0009-0000-0392-9497"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"D. Shi","raw_affiliation_strings":["Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore","School of Computer Engineering, Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016330355","display_name":"G.S. Ng","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"G.S. Ng","raw_affiliation_strings":["Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore","School of Computer Engineering, Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054331662","display_name":"J. Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I90745801","display_name":"University of New England","ror":"https://ror.org/04r659a56","country_code":"AU","type":"education","lineage":["https://openalex.org/I90745801"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"J. Gao","raw_affiliation_strings":["School of Mathematics, Statistics and Computer Science, University of New England, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics, Statistics and Computer Science, University of New England, Australia","institution_ids":["https://openalex.org/I90745801"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077450171","display_name":"D.S. Yeung","orcid":null},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"D.S. Yeung","raw_affiliation_strings":["Department of Computing, Hong Kong Polytechnic University, Kowloon, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing, Hong Kong Polytechnic University, Kowloon, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.29847375,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"45","issue":null,"first_page":"359","last_page":"362 Vol.3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","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/T10320","display_name":"Neural Networks and Applications","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/T12676","display_name":"Machine Learning and ELM","score":0.9968000054359436,"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":0.9951000213623047,"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/sensitivity","display_name":"Sensitivity (control systems)","score":0.6847338080406189},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6744038462638855},{"id":"https://openalex.org/keywords/radial-basis-function","display_name":"Radial basis function","score":0.6696248054504395},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6604095697402954},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.650882363319397},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.5190054178237915},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.507332980632782},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4916391968727112},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.4575790762901306},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4498688876628876},{"id":"https://openalex.org/keywords/radial-basis-function-network","display_name":"Radial basis function network","score":0.44869542121887207},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.4447593092918396},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4315792918205261},{"id":"https://openalex.org/keywords/hierarchical-rbf","display_name":"Hierarchical RBF","score":0.41330787539482117},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3609973192214966},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18806391954421997},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10428708791732788},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.10269704461097717}],"concepts":[{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.6847338080406189},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6744038462638855},{"id":"https://openalex.org/C98856871","wikidata":"https://www.wikidata.org/wiki/Q1588488","display_name":"Radial basis function","level":3,"score":0.6696248054504395},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6604095697402954},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.650882363319397},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.5190054178237915},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.507332980632782},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4916391968727112},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.4575790762901306},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4498688876628876},{"id":"https://openalex.org/C132917294","wikidata":"https://www.wikidata.org/wiki/Q2679684","display_name":"Radial basis function network","level":4,"score":0.44869542121887207},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.4447593092918396},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4315792918205261},{"id":"https://openalex.org/C182016430","wikidata":"https://www.wikidata.org/wiki/Q17029399","display_name":"Hierarchical RBF","level":4,"score":0.41330787539482117},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3609973192214966},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18806391954421997},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10428708791732788},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.10269704461097717},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2004.1334541","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334541","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1886615868","https://openalex.org/W1980290744","https://openalex.org/W2055522016","https://openalex.org/W2084812512","https://openalex.org/W2110480233","https://openalex.org/W2114027591","https://openalex.org/W2129664936","https://openalex.org/W2142334564","https://openalex.org/W2143956139","https://openalex.org/W2155399784","https://openalex.org/W2167901303","https://openalex.org/W2169892349","https://openalex.org/W2171277043","https://openalex.org/W2172000360","https://openalex.org/W6677402015"],"related_works":["https://openalex.org/W2352505169","https://openalex.org/W2020488014","https://openalex.org/W2024184249","https://openalex.org/W2294862180","https://openalex.org/W1969044629","https://openalex.org/W157952102","https://openalex.org/W2591826122","https://openalex.org/W1549106865","https://openalex.org/W2105180757","https://openalex.org/W2137598547"],"abstract_inverted_index":{"Sensitivity":[0,14],"is":[1,59,104],"initially":[2],"investigated":[3],"for":[4,42],"the":[5,43,57,60,65,71,81,84,88,93,101,105],"construction":[6,44],"of":[7,32,45,67,73,83,96],"a":[8,29,38],"network":[9,18,26],"prior":[10],"to":[11,17,55,87,108],"its":[12],"design.":[13],"analysis":[15],"applied":[16],"pruning":[19],"seems":[20],"particularly":[21],"useful":[22],"and":[23,70],"valuable":[24],"when":[25],"training":[27,89],"involves":[28],"large":[30],"amount":[31],"redundant":[33],"data.":[34,90,110],"This":[35],"paper":[36],"proposes":[37],"novel":[39],"learning":[40],"algorithm":[41],"radial":[46,75],"basis":[47,76],"function":[48],"(RBF)":[49],"classifiers":[50,122],"using":[51],"sensitive":[52],"vectors":[53],"(SenV),":[54],"which":[56],"output":[58],"most":[61,106],"sensitive.":[62],"In":[63,91],"training,":[64],"number":[66,95],"hidden":[68,98],"neurons":[69,99],"centers":[72],"their":[74],"functions":[77],"are":[78],"determined":[79],"by":[80,124],"maximization":[82],"output's":[85],"sensitivity":[86,103],"classification,":[92],"minimal":[94],"such":[97],"with":[100],"maximal":[102],"generalizable":[107],"unknown":[109],"Our":[111],"experimental":[112],"results":[113],"suggest":[114],"that":[115],"our":[116],"proposed":[117],"methodology":[118],"outperforms":[119],"classical":[120],"RBF":[121],"constructed":[123],"clustering.":[125]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}