{"id":"https://openalex.org/W1816910815","doi":"https://doi.org/10.1109/nnsp.2002.1030054","title":"Improving neural classifiers for ATR using a kernel method for generating synthetic training sets","display_name":"Improving neural classifiers for ATR using a kernel method for generating synthetic training sets","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W1816910815","doi":"https://doi.org/10.1109/nnsp.2002.1030054","mag":"1816910815"},"language":"en","primary_location":{"id":"doi:10.1109/nnsp.2002.1030054","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nnsp.2002.1030054","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing","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/A5069875815","display_name":"Roberto Gil\u2010Pita","orcid":"https://orcid.org/0000-0002-1790-3834"},"institutions":[{"id":"https://openalex.org/I189268942","display_name":"Universidad de Alcal\u00e1","ror":"https://ror.org/04pmn0e78","country_code":"ES","type":"education","lineage":["https://openalex.org/I189268942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"R. Gil-Pita","raw_affiliation_strings":["Dpto. de Teor\u00eda de la Se\u00f1Comunicaciones, Escuela Polit\u00e9cnica, Universidad de Alcali\u00e1, Madrid, Spain","Dpto. de Teoria de la Senal y Comunicaciones, Univ. de Alcala, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dpto. de Teor\u00eda de la Se\u00f1Comunicaciones, Escuela Polit\u00e9cnica, Universidad de Alcali\u00e1, Madrid, Spain","institution_ids":[]},{"raw_affiliation_string":"Dpto. de Teoria de la Senal y Comunicaciones, Univ. de Alcala, Spain","institution_ids":["https://openalex.org/I189268942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110262985","display_name":"P. Jarabo-Amores","orcid":null},"institutions":[{"id":"https://openalex.org/I189268942","display_name":"Universidad de Alcal\u00e1","ror":"https://ror.org/04pmn0e78","country_code":"ES","type":"education","lineage":["https://openalex.org/I189268942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"P. Jarabo-Amores","raw_affiliation_strings":["Dpto. de Teor\u00eda de la Se\u00f1Comunicaciones, Escuela Polit\u00e9cnica, Universidad de Alcali\u00e1, Madrid, Spain","Dpto. de Teoria de la Senal y Comunicaciones, Univ. de Alcala, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dpto. de Teor\u00eda de la Se\u00f1Comunicaciones, Escuela Polit\u00e9cnica, Universidad de Alcali\u00e1, Madrid, Spain","institution_ids":[]},{"raw_affiliation_string":"Dpto. de Teoria de la Senal y Comunicaciones, Univ. de Alcala, Spain","institution_ids":["https://openalex.org/I189268942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034678826","display_name":"Manuel Rosa-Zurera","orcid":"https://orcid.org/0000-0002-3073-3278"},"institutions":[{"id":"https://openalex.org/I189268942","display_name":"Universidad de Alcal\u00e1","ror":"https://ror.org/04pmn0e78","country_code":"ES","type":"education","lineage":["https://openalex.org/I189268942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"M. Rosa-Zurera","raw_affiliation_strings":["Dpto. de Teor\u00eda de la Se\u00f1Comunicaciones, Escuela Polit\u00e9cnica, Universidad de Alcali\u00e1, Madrid, Spain","Dpto. de Teoria de la Senal y Comunicaciones, Univ. de Alcala, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dpto. de Teor\u00eda de la Se\u00f1Comunicaciones, Escuela Polit\u00e9cnica, Universidad de Alcali\u00e1, Madrid, Spain","institution_ids":[]},{"raw_affiliation_string":"Dpto. de Teoria de la Senal y Comunicaciones, Univ. de Alcala, Spain","institution_ids":["https://openalex.org/I189268942"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113637663","display_name":"F. L\u00f3pez-Ferreras","orcid":null},"institutions":[{"id":"https://openalex.org/I189268942","display_name":"Universidad de Alcal\u00e1","ror":"https://ror.org/04pmn0e78","country_code":"ES","type":"education","lineage":["https://openalex.org/I189268942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"F. Lopez-Ferreras","raw_affiliation_strings":["Dpto. de Teor\u00eda de la Se\u00f1Comunicaciones, Escuela Polit\u00e9cnica, Universidad de Alcali\u00e1, Madrid, Spain","Dpto. de Teoria de la Senal y Comunicaciones, Univ. de Alcala, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dpto. de Teor\u00eda de la Se\u00f1Comunicaciones, Escuela Polit\u00e9cnica, Universidad de Alcali\u00e1, Madrid, Spain","institution_ids":[]},{"raw_affiliation_string":"Dpto. de Teoria de la Senal y Comunicaciones, Univ. de Alcala, Spain","institution_ids":["https://openalex.org/I189268942"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I189268942"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.10564653,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"425","last_page":"434"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11698","display_name":"Underwater Acoustics Research","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9883000254631042,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.685313880443573},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6642577052116394},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.6374033689498901},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6123433709144592},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.611178457736969},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.5886843204498291},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.579598605632782},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.5586042404174805},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4909704029560089},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4296427369117737},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2577001452445984},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1024114191532135}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.685313880443573},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6642577052116394},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6374033689498901},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6123433709144592},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.611178457736969},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.5886843204498291},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.579598605632782},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.5586042404174805},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4909704029560089},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4296427369117737},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2577001452445984},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1024114191532135},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/nnsp.2002.1030054","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nnsp.2002.1030054","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing","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":11,"referenced_works":["https://openalex.org/W1798929580","https://openalex.org/W1914022365","https://openalex.org/W2021915249","https://openalex.org/W2115289877","https://openalex.org/W2118496821","https://openalex.org/W2135346934","https://openalex.org/W2141278204","https://openalex.org/W2147276339","https://openalex.org/W2155482699","https://openalex.org/W2167025280","https://openalex.org/W4238717354"],"related_works":["https://openalex.org/W1528102763","https://openalex.org/W2465871978","https://openalex.org/W2351755528","https://openalex.org/W2585385340","https://openalex.org/W4297926828","https://openalex.org/W132006996","https://openalex.org/W1569550976","https://openalex.org/W3003818300","https://openalex.org/W2148400622","https://openalex.org/W2009868614"],"abstract_inverted_index":{"An":[0],"important":[1],"problem":[2],"with":[3,101,173],"the":[4,15,52,82,85,87,102,111,115,118,122,131,161,176],"use":[5,137],"of":[6,26,56,59,69,84,117,163,175],"neural":[7,143,150],"networks":[8,151],"in":[9,17,95,134],"HRR":[10],"radar":[11,41,60,96],"target":[12,97],"classification":[13],"is":[14,157,169],"difficulty":[16],"obtaining":[18],"training":[19,140,164],"data.":[20,165],"Training":[21],"sets":[22],"are":[23,43,66,74,127],"small":[24],"because":[25],"this,":[27],"making":[28],"generalization":[29,38],"to":[30,36,80,129,136,159],"new":[31],"data":[32,72,133],"difficult.":[33],"In":[34,78],"order":[35,79,135],"improve":[37],"capability,":[39],"synthetic":[40,132],"targets":[42],"obtained":[44,146],"using":[45],"a":[46,67,89,138],"novel":[47],"kernel":[48],"method":[49,107],"for":[50,142],"estimating":[51],"probability":[53,124],"density":[54,125],"function":[55,68],"each":[57],"class":[58],"targets.":[61],"Multivariate":[62],"Gaussians":[63],"whose":[64],"parameters":[65],"position":[70],"and":[71,99],"distribution":[73],"used":[75,94,128,158],"as":[76],"kernels.":[77],"assess":[81],"accuracy":[83,116],"estimate,":[86],"maximum":[88],"posteriori":[90],"criterion":[91],"has":[92],"been":[93],"classification,":[98],"compared":[100,172],"k-nearest-neighbour":[103,112],"classifier.":[104,179],"The":[105,145],"proposed":[106],"performs":[108],"better":[109,153],"than":[110],"classifier,":[113],"demonstrating":[114],"estimate.":[119],"After":[120],"that,":[121],"estimated":[123],"functions":[126],"classify":[130],"supervised":[139],"algorithm":[141],"networks.":[144],"results":[147],"show":[148],"that":[149,174],"perform":[152],"if":[154],"this":[155],"strategy":[156],"increase":[160],"number":[162],"Furthermore,":[166],"computational":[167],"complexity":[168],"dramatically":[170],"reduced":[171],"k-nearest":[177],"neighbour":[178]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}