{"id":"https://openalex.org/W2134992020","doi":"https://doi.org/10.1109/ijcnn.2010.5596820","title":"FPGA implementation of a support vector machine for classification and regression","display_name":"FPGA implementation of a support vector machine for classification and regression","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2134992020","doi":"https://doi.org/10.1109/ijcnn.2010.5596820","mag":"2134992020"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2010.5596820","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2010.5596820","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2010 International Joint Conference on Neural Networks (IJCNN)","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/A5038012458","display_name":"Marta Ruiz-Llata","orcid":"https://orcid.org/0000-0001-6361-4681"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Marta Ruiz-Llata","raw_affiliation_strings":["Department of Electronic Technology, Universidad Carlos III de Madrid, Legan\u00e9s, Madrid, Spain","Department of Electronic Technology, Universidad Carlos III de Madrid, Calle Butarque 15, 28911, Legan\u00e9s, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Technology, Universidad Carlos III de Madrid, Legan\u00e9s, Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]},{"raw_affiliation_string":"Department of Electronic Technology, Universidad Carlos III de Madrid, Calle Butarque 15, 28911, Legan\u00e9s, Spain","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037795761","display_name":"Guillermo Guarnizo","orcid":"https://orcid.org/0000-0002-3142-9622"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Guillermo Guarnizo","raw_affiliation_strings":["Department of Electronic Technology, Universidad Carlos III de Madrid, Legan\u00e9s, Madrid, Spain","Department of Electronic Technology, Universidad Carlos III de Madrid, Calle Butarque 15, 28911, Legan\u00e9s, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Technology, Universidad Carlos III de Madrid, Legan\u00e9s, Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]},{"raw_affiliation_string":"Department of Electronic Technology, Universidad Carlos III de Madrid, Calle Butarque 15, 28911, Legan\u00e9s, Spain","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049865096","display_name":"Mar Y\u00e9benes-Calvino","orcid":null},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Mar Yebenes-Calvino","raw_affiliation_strings":["Department of Electronic Technology, Universidad Carlos III de Madrid, Legan\u00e9s, Madrid, Spain","Department of Electronic Technology, Universidad Carlos III de Madrid, Calle Butarque 15, 28911, Legan\u00e9s, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Technology, Universidad Carlos III de Madrid, Legan\u00e9s, Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]},{"raw_affiliation_string":"Department of Electronic Technology, Universidad Carlos III de Madrid, Calle Butarque 15, 28911, Legan\u00e9s, Spain","institution_ids":["https://openalex.org/I50357001"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I50357001"],"apc_list":null,"apc_paid":null,"fwci":2.8178,"has_fulltext":false,"cited_by_count":48,"citation_normalized_percentile":{"value":0.91048348,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11697","display_name":"Numerical Methods and Algorithms","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11697","display_name":"Numerical Methods and Algorithms","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10876","display_name":"Fault Detection and Control Systems","score":0.993399977684021,"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/T10320","display_name":"Neural Networks and Applications","score":0.9926000237464905,"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":0.8720377087593079},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7244356870651245},{"id":"https://openalex.org/keywords/structured-support-vector-machine","display_name":"Structured support vector machine","score":0.6865323781967163},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.648339569568634},{"id":"https://openalex.org/keywords/relevance-vector-machine","display_name":"Relevance vector machine","score":0.6468953490257263},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.6185302138328552},{"id":"https://openalex.org/keywords/multiclass-classification","display_name":"Multiclass classification","score":0.5307946801185608},{"id":"https://openalex.org/keywords/least-squares-support-vector-machine","display_name":"Least squares support vector machine","score":0.5218616724014282},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4983978271484375},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49226370453834534},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47337740659713745},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4691193401813507},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4675394892692566},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4123658537864685},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3782218098640442},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.24207907915115356},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12623199820518494},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12055248022079468}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8720377087593079},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7244356870651245},{"id":"https://openalex.org/C125168437","wikidata":"https://www.wikidata.org/wiki/Q7625184","display_name":"Structured support vector machine","level":3,"score":0.6865323781967163},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.648339569568634},{"id":"https://openalex.org/C14948415","wikidata":"https://www.wikidata.org/wiki/Q7310972","display_name":"Relevance vector machine","level":3,"score":0.6468953490257263},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.6185302138328552},{"id":"https://openalex.org/C123860398","wikidata":"https://www.wikidata.org/wiki/Q6934605","display_name":"Multiclass classification","level":3,"score":0.5307946801185608},{"id":"https://openalex.org/C145828037","wikidata":"https://www.wikidata.org/wiki/Q17086219","display_name":"Least squares support vector machine","level":3,"score":0.5218616724014282},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4983978271484375},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49226370453834534},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47337740659713745},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4691193401813507},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4675394892692566},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4123658537864685},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3782218098640442},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.24207907915115356},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12623199820518494},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12055248022079468},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2010.5596820","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2010.5596820","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2010 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1773989760","https://openalex.org/W1869391892","https://openalex.org/W1983768002","https://openalex.org/W1988271677","https://openalex.org/W2044829853","https://openalex.org/W2100605071","https://openalex.org/W2104226279","https://openalex.org/W2120515362","https://openalex.org/W2133078477","https://openalex.org/W2146369595","https://openalex.org/W2152430060","https://openalex.org/W2156909104","https://openalex.org/W2161238936","https://openalex.org/W2163079863","https://openalex.org/W2989283109","https://openalex.org/W6639165917","https://openalex.org/W6646094569"],"related_works":["https://openalex.org/W2122277321","https://openalex.org/W2049586051","https://openalex.org/W2186666570","https://openalex.org/W2384276962","https://openalex.org/W2353238494","https://openalex.org/W844501393","https://openalex.org/W2769345709","https://openalex.org/W2178308471","https://openalex.org/W2023602538","https://openalex.org/W2315850941"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,6,24,80],"successful":[3],"design":[4],"for":[5,10,58],"high-performance,":[7],"low-resource-consuming":[8],"hardware":[9,54],"Support":[11,15],"Vector":[12,16],"Classification":[13],"and":[14,29,61,64,78],"Regression.":[17],"The":[18],"system":[19],"has":[20],"been":[21],"implemented":[22],"on":[23,69,79],"low":[25],"cost":[26],"FPGA":[27],"device":[28],"exploits":[30],"the":[31,38,52],"advantages":[32],"of":[33],"parallel":[34],"processing":[35],"to":[36],"compute":[37],"feed":[39],"forward":[40],"phase":[41],"in":[42],"support":[43],"vector":[44],"machines.":[45],"In":[46],"this":[47],"paper":[48],"we":[49,65],"show":[50,66],"that":[51],"same":[53],"can":[55],"be":[56],"used":[57],"classification":[59,77],"problems":[60],"regression":[62],"problems,":[63],"satisfactory":[67],"results":[68],"an":[70],"image":[71],"recognition":[72],"problem":[73,83],"by":[74,84],"SV":[75,85],"multiclass":[76],"function":[81],"estimation":[82],"regression.":[86]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}