{"id":"https://openalex.org/W1918804061","doi":"https://doi.org/10.1109/ijcnn.2003.1224073","title":"Robust command recognition using kernel learning algorithms","display_name":"Robust command recognition using kernel learning algorithms","publication_year":2004,"publication_date":"2004-06-22","ids":{"openalex":"https://openalex.org/W1918804061","doi":"https://doi.org/10.1109/ijcnn.2003.1224073","mag":"1918804061"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2003.1224073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1224073","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, 2003.","raw_type":"proceedings-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/A5044080983","display_name":"Hassan H. Namarvar","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"H.H. Namarvar","raw_affiliation_strings":["[Dept. of Biomed. Eng., Univ. of Southern California, Los Angeles, CA, USA]"],"affiliations":[{"raw_affiliation_string":"[Dept. of Biomed. Eng., Univ. of Southern California, Los Angeles, CA, USA]","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111911478","display_name":"Theodore W. Berger","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"T.W. Berger","raw_affiliation_strings":["Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA","[Dept. of Biomed. Eng., Univ. of Southern California, Los Angeles, CA, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"[Dept. of Biomed. Eng., Univ. of Southern California, Los Angeles, CA, USA]","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5044080983"],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08037295,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"3134","last_page":"3139"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9994999766349792,"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":0.9994999766349792,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.992900013923645,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9832000136375427,"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/support-vector-machine","display_name":"Support vector machine","score":0.7740076780319214},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7645585536956787},{"id":"https://openalex.org/keywords/radial-basis-function","display_name":"Radial basis function","score":0.7300125360488892},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6850431561470032},{"id":"https://openalex.org/keywords/radial-basis-function-kernel","display_name":"Radial basis function kernel","score":0.667899489402771},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6546213626861572},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.6359716653823853},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5384300947189331},{"id":"https://openalex.org/keywords/structured-support-vector-machine","display_name":"Structured support vector machine","score":0.4957605302333832},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4938078820705414},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4460660219192505},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43983593583106995},{"id":"https://openalex.org/keywords/radial-basis-function-network","display_name":"Radial basis function network","score":0.43487000465393066},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.4119233787059784},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3759905993938446},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.2788204550743103},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11161607503890991}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7740076780319214},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7645585536956787},{"id":"https://openalex.org/C98856871","wikidata":"https://www.wikidata.org/wiki/Q1588488","display_name":"Radial basis function","level":3,"score":0.7300125360488892},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6850431561470032},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.667899489402771},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6546213626861572},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.6359716653823853},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5384300947189331},{"id":"https://openalex.org/C125168437","wikidata":"https://www.wikidata.org/wiki/Q7625184","display_name":"Structured support vector machine","level":3,"score":0.4957605302333832},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4938078820705414},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4460660219192505},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43983593583106995},{"id":"https://openalex.org/C132917294","wikidata":"https://www.wikidata.org/wiki/Q2679684","display_name":"Radial basis function network","level":4,"score":0.43487000465393066},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.4119233787059784},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3759905993938446},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.2788204550743103},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11161607503890991},{"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:10.1109/ijcnn.2003.1224073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1224073","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, 2003.","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":24,"referenced_works":["https://openalex.org/W105750483","https://openalex.org/W178056938","https://openalex.org/W1825077972","https://openalex.org/W1967806116","https://openalex.org/W1972446646","https://openalex.org/W2012231377","https://openalex.org/W2080135598","https://openalex.org/W2097283332","https://openalex.org/W2118806033","https://openalex.org/W2123232214","https://openalex.org/W2124776405","https://openalex.org/W2139212933","https://openalex.org/W2155399784","https://openalex.org/W2165694684","https://openalex.org/W2285257517","https://openalex.org/W2399937484","https://openalex.org/W3119651796","https://openalex.org/W3145631216","https://openalex.org/W3146750722","https://openalex.org/W4285719527","https://openalex.org/W6633616865","https://openalex.org/W6638473186","https://openalex.org/W6642340822","https://openalex.org/W6643175083"],"related_works":["https://openalex.org/W4230534566","https://openalex.org/W1992876914","https://openalex.org/W2184586959","https://openalex.org/W2105180757","https://openalex.org/W162769146","https://openalex.org/W2162304341","https://openalex.org/W1567195887","https://openalex.org/W157952102","https://openalex.org/W2805008028","https://openalex.org/W960661091"],"abstract_inverted_index":{"We":[0,22],"introduce":[1],"a":[2,69],"new":[3],"idea":[4],"of":[5,38,62,72],"robust":[6],"command":[7],"recognition":[8],"system":[9,27],"using":[10],"frequency":[11],"domain":[12],"analysis":[13],"and":[14,33,44,59],"radial":[15,45],"basis":[16,46],"function":[17,47],"support":[18],"vector":[19],"machines":[20],"(SVM).":[21],"have":[23,34],"tested":[24],"the":[25,36,56,63],"proposed":[26],"under":[28],"stationary":[29],"background":[30],"noise":[31],"hypothesis":[32],"compared":[35],"performance":[37,61],"SVM":[39,64],"classifier":[40,65],"to":[41],"multi-layer":[42],"perceptron":[43],"neural":[48],"network":[49],"classifiers.":[50],"Simulations":[51],"were":[52],"carried":[53],"out":[54],"on":[55,68],"TI-46":[57],"corpus":[58],"higher":[60],"was":[66],"obtained":[67],"small":[70],"set":[71],"commands.":[73]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}