{"id":"https://openalex.org/W2126029357","doi":"https://doi.org/10.1109/igarss.2008.4779698","title":"Gradient Optimization for multiple kernel's parameters in support vector machines classification","display_name":"Gradient Optimization for multiple kernel's parameters in support vector machines classification","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2126029357","doi":"https://doi.org/10.1109/igarss.2008.4779698","mag":"2126029357"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2008.4779698","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2008.4779698","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium","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/A5110623180","display_name":"Alberto Villa","orcid":"https://orcid.org/0000-0003-1643-2978"},"institutions":[{"id":"https://openalex.org/I25217355","display_name":"University of Pavia","ror":"https://ror.org/00s6t1f81","country_code":"IT","type":"education","lineage":["https://openalex.org/I25217355"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"A. Villa","raw_affiliation_strings":["Telecommunications & Remote Sensing Laboratory, Department of Electronics, University of Pavia, Italy","Dept. of Electron., Univ. of Pavia, Grenoble"],"affiliations":[{"raw_affiliation_string":"Telecommunications & Remote Sensing Laboratory, Department of Electronics, University of Pavia, Italy","institution_ids":["https://openalex.org/I25217355"]},{"raw_affiliation_string":"Dept. of Electron., Univ. of Pavia, Grenoble","institution_ids":["https://openalex.org/I25217355"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109224600","display_name":"Mathieu Fauvel","orcid":null},"institutions":[{"id":"https://openalex.org/I165368041","display_name":"University of Iceland","ror":"https://ror.org/01db6h964","country_code":"IS","type":"education","lineage":["https://openalex.org/I165368041"]}],"countries":["IS"],"is_corresponding":false,"raw_author_name":"M. Fauvel","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Iceland, Iceland","Dept. of Electr. & Comput. Eng, Univ. of Iceland, Reykjavik"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Iceland, Iceland","institution_ids":["https://openalex.org/I165368041"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng, Univ. of Iceland, Reykjavik","institution_ids":["https://openalex.org/I165368041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106124934","display_name":"Jocelyn Chanussot","orcid":"https://orcid.org/0000-0003-4817-2875"},"institutions":[{"id":"https://openalex.org/I165368041","display_name":"University of Iceland","ror":"https://ror.org/01db6h964","country_code":"IS","type":"education","lineage":["https://openalex.org/I165368041"]}],"countries":["IS"],"is_corresponding":false,"raw_author_name":"J. Chanussot","raw_affiliation_strings":["Haskoli Islands, Reykjavik, IS","Dept. of Electr. & Comput. Eng, Univ. of Iceland, Reykjavik"],"affiliations":[{"raw_affiliation_string":"Haskoli Islands, Reykjavik, IS","institution_ids":["https://openalex.org/I165368041"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng, Univ. of Iceland, Reykjavik","institution_ids":["https://openalex.org/I165368041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006623289","display_name":"Paolo Gamba","orcid":"https://orcid.org/0000-0002-9576-6337"},"institutions":[{"id":"https://openalex.org/I25217355","display_name":"University of Pavia","ror":"https://ror.org/00s6t1f81","country_code":"IT","type":"education","lineage":["https://openalex.org/I25217355"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"P. Gamba","raw_affiliation_strings":["Telecommunications & Remote Sensing Laboratory, Department of Electronics, University of Pavia, Italy","Dept. of Electron., Univ. of Pavia, Grenoble"],"affiliations":[{"raw_affiliation_string":"Telecommunications & Remote Sensing Laboratory, Department of Electronics, University of Pavia, Italy","institution_ids":["https://openalex.org/I25217355"]},{"raw_affiliation_string":"Dept. of Electron., Univ. of Pavia, Grenoble","institution_ids":["https://openalex.org/I25217355"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035508615","display_name":"J\u00f3n Atli Benediktsson","orcid":"https://orcid.org/0000-0003-0621-9647"},"institutions":[{"id":"https://openalex.org/I165368041","display_name":"University of Iceland","ror":"https://ror.org/01db6h964","country_code":"IS","type":"education","lineage":["https://openalex.org/I165368041"]}],"countries":["IS"],"is_corresponding":false,"raw_author_name":"J. A. Benediktsson","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Iceland, Iceland","Dept. of Electr. & Comput. Eng, Univ. of Iceland, Reykjavik"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Iceland, Iceland","institution_ids":["https://openalex.org/I165368041"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng, Univ. of Iceland, Reykjavik","institution_ids":["https://openalex.org/I165368041"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5110623180"],"corresponding_institution_ids":["https://openalex.org/I25217355"],"apc_list":null,"apc_paid":null,"fwci":6.0847,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.95831839,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"IV ","last_page":" 224"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T13890","display_name":"Remote Sensing and Land Use","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9747999906539917,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.8213434219360352},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7337701320648193},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.7243701219558716},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6662591099739075},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6648125648498535},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6379011273384094},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.636675238609314},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5805742740631104},{"id":"https://openalex.org/keywords/relevance-vector-machine","display_name":"Relevance vector machine","score":0.47779566049575806},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45255768299102783},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3496999144554138},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2670128643512726},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.19030120968818665}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8213434219360352},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7337701320648193},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7243701219558716},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6662591099739075},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6648125648498535},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6379011273384094},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.636675238609314},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5805742740631104},{"id":"https://openalex.org/C14948415","wikidata":"https://www.wikidata.org/wiki/Q7310972","display_name":"Relevance vector machine","level":3,"score":0.47779566049575806},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45255768299102783},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3496999144554138},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2670128643512726},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.19030120968818665},{"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/igarss.2008.4779698","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2008.4779698","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-00372316v1","is_oa":false,"landing_page_url":"https://hal.science/hal-00372316","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IGARSS 2008 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2008, Boston, MA, United States. pp.2008","raw_type":"Conference papers"}],"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/W1528620860","https://openalex.org/W1563088657","https://openalex.org/W2124706543","https://openalex.org/W2136251662","https://openalex.org/W2147283272","https://openalex.org/W2148603752","https://openalex.org/W2153534417","https://openalex.org/W2156316030","https://openalex.org/W2158001550","https://openalex.org/W2164769329","https://openalex.org/W2166632292","https://openalex.org/W2168481151","https://openalex.org/W2172000360","https://openalex.org/W4254721730","https://openalex.org/W4254884888"],"related_works":["https://openalex.org/W2066952721","https://openalex.org/W2565312173","https://openalex.org/W2335152656","https://openalex.org/W3147035969","https://openalex.org/W2359936972","https://openalex.org/W2383027800","https://openalex.org/W2206547991","https://openalex.org/W2104936869","https://openalex.org/W2186666570","https://openalex.org/W2122277321"],"abstract_inverted_index":{"The":[0,54],"subject":[1],"of":[2,9,22,56,68,72,79],"this":[3,41],"work":[4,42],"is":[5,48,59],"the":[6,20,29,32,52,66,69,80,95],"model":[7],"selection":[8,55],"kernels":[10,82],"with":[11,19,94],"multiple":[12,57],"parameters":[13,34,58],"for":[14],"support":[15],"vector":[16],"machines":[17],"(SVM),":[18],"purpose":[21],"classifying":[23],"hyperspectral":[24,90],"remote":[25],"sensing":[26],"data.":[27,91],"During":[28],"training":[30],"process,":[31],"kernel":[33],"need":[35],"to":[36,50],"be":[37],"tuned":[38],"properly.":[39],"In":[40],"a":[43],"gradient":[44],"descent":[45],"based":[46,64],"algorithm":[47],"used":[49],"estimate":[51],"parameters.":[53],"addressed,":[60],"and":[61,101,109],"an":[62],"approach":[63],"on":[65,88],"analysis":[67],"variance":[70],"values":[71],"individual":[73],"bands":[74],"was":[75],"proposed.":[76],"Several":[77],"state":[78],"art":[81],"were":[83,86,98],"tested.":[84],"Experiments":[85],"conducted":[87],"real":[89],"Results":[92],"obtained":[93],"different":[96],"approaches/kernels":[97],"compared":[99],"statistically,":[100],"showed":[102],"good":[103],"results":[104],"in":[105],"terms":[106],"classification":[107],"accuracies":[108],"processing":[110],"time.":[111]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":4}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
