{"id":"https://openalex.org/W2066443548","doi":"https://doi.org/10.1109/siu.2014.6830311","title":"Optimization of SVM parameters using High Dimensional Model Representation and its application to hyperspectral images","display_name":"Optimization of SVM parameters using High Dimensional Model Representation and its application to hyperspectral images","publication_year":2014,"publication_date":"2014-04-01","ids":{"openalex":"https://openalex.org/W2066443548","doi":"https://doi.org/10.1109/siu.2014.6830311","mag":"2066443548"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2014.6830311","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2014.6830311","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","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":null,"display_name":"G. Taskin Kaya","orcid":null},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"G. Taskin Kaya","raw_affiliation_strings":["Deprem M\u00fchendisli\u011fi ve Afet Y\u00f6netimi Enstit\u00fcs\u00fc, \u0130stanbul Teknik \u00dcniversitesi","Deprem M\u00fchendisli\u011f\u0131 ve Afet Y\u00f6netimi Enstit\u00fcs\u00fc, \u0130stanbul Teknik \u00dcniversitesi"],"affiliations":[{"raw_affiliation_string":"Deprem M\u00fchendisli\u011fi ve Afet Y\u00f6netimi Enstit\u00fcs\u00fc, \u0130stanbul Teknik \u00dcniversitesi","institution_ids":["https://openalex.org/I48912391"]},{"raw_affiliation_string":"Deprem M\u00fchendisli\u011f\u0131 ve Afet Y\u00f6netimi Enstit\u00fcs\u00fc, \u0130stanbul Teknik \u00dcniversitesi","institution_ids":["https://openalex.org/I48912391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044162933","display_name":"H\u00fcseyin Kaya","orcid":"https://orcid.org/0000-0002-6481-5431"},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"H. Kaya","raw_affiliation_strings":["Bili\u015fim Enstit\u00fcs\u00fc \u0130, Stanbul Teknik \u00dcniversitesi","Bili\u015fim Enstit\u00fcs\u00fc, \u0130stanbul Teknik \u00dcniversitesi"],"affiliations":[{"raw_affiliation_string":"Bili\u015fim Enstit\u00fcs\u00fc \u0130, Stanbul Teknik \u00dcniversitesi","institution_ids":[]},{"raw_affiliation_string":"Bili\u015fim Enstit\u00fcs\u00fc, \u0130stanbul Teknik \u00dcniversitesi","institution_ids":["https://openalex.org/I48912391"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I48912391"],"apc_list":null,"apc_paid":null,"fwci":0.4578,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70805163,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"642","last_page":"645"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9995999932289124,"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":0.9995999932289124,"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":0.995199978351593,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9840999841690063,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.8092181086540222},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.8088904619216919},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6779649257659912},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.65472012758255},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6072221994400024},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6006885170936584},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"Hyperparameter optimization","score":0.5757480263710022},{"id":"https://openalex.org/keywords/radial-basis-function","display_name":"Radial basis function","score":0.5308569073677063},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5213114619255066},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5212541222572327},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4841659665107727},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.4653962552547455},{"id":"https://openalex.org/keywords/radial-basis-function-kernel","display_name":"Radial basis function kernel","score":0.43160080909729004},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.3928055465221405},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3922327160835266},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2378968596458435},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1592959463596344}],"concepts":[{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.8092181086540222},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8088904619216919},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6779649257659912},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.65472012758255},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6072221994400024},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6006885170936584},{"id":"https://openalex.org/C10485038","wikidata":"https://www.wikidata.org/wiki/Q48996162","display_name":"Hyperparameter optimization","level":3,"score":0.5757480263710022},{"id":"https://openalex.org/C98856871","wikidata":"https://www.wikidata.org/wiki/Q1588488","display_name":"Radial basis function","level":3,"score":0.5308569073677063},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5213114619255066},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5212541222572327},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4841659665107727},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.4653962552547455},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.43160080909729004},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.3928055465221405},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3922327160835266},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2378968596458435},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1592959463596344},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"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/siu.2014.6830311","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2014.6830311","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},{"id":"pmh:oai:polen.itu.edu.tr:11527/52290","is_oa":false,"landing_page_url":"https://hdl.handle.net/11527/52290","pdf_url":null,"source":{"id":"https://openalex.org/S4306400460","display_name":"Istanbul Technical University Academic Open Archive (Istanbul Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I48912391","host_organization_name":"Istanbul Technical University","host_organization_lineage":["https://openalex.org/I48912391"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1639564182","https://openalex.org/W1972955129","https://openalex.org/W2020355555","https://openalex.org/W2061926119","https://openalex.org/W2072880371","https://openalex.org/W2096963665","https://openalex.org/W2100421935","https://openalex.org/W2106221629","https://openalex.org/W2126029357","https://openalex.org/W2153534417","https://openalex.org/W2158078575","https://openalex.org/W6683383647"],"related_works":["https://openalex.org/W127070535","https://openalex.org/W2140869420","https://openalex.org/W2019243908","https://openalex.org/W2805008028","https://openalex.org/W2357150443","https://openalex.org/W1519806901","https://openalex.org/W1603091392","https://openalex.org/W2348982811","https://openalex.org/W2958374823","https://openalex.org/W2152497556"],"abstract_inverted_index":{"Support":[0],"vector":[1],"machines":[2],"(SVM)":[3],"is":[4,69,166,192],"one":[5],"of":[6,18,25,32,63,85,91,124,160,172],"the":[7,26,44,47,61,82,86,109,125,143,161,164,184],"most":[8],"important":[9,71],"methods":[10],"which":[11,99],"has":[12],"been":[13],"frequently":[14],"used":[15],"in":[16,56,73,112,118,140,180],"classification":[17,23,74],"remote":[19],"sensing":[20],"images.":[21],"The":[22,122,157],"performance":[24,123],"SVM":[27,53,92,191],"strictly":[28],"depends":[29],"on":[30,81],"choice":[31,62],"convenient":[33],"kernel":[34,38,65,89],"function":[35],"and":[36,66,120,154,175],"its":[37,67],"parameters":[39,48,68,90],"called":[40],"model":[41],"selection.":[42],"In":[43,76],"case":[45],"that":[46],"are":[49,137],"not":[50],"appropriately":[51],"chosen,":[52],"may":[54],"result":[55],"relatively":[57,169],"poor":[58],"performance.":[59],"Therefore,":[60,186],"suitable":[64],"an":[70,104],"topic":[72],"problems.":[75],"this":[77],"paper,":[78],"we":[79],"studied":[80],"optimal":[83],"selection":[84],"radial":[87],"basis":[88],"using":[93],"High":[94],"Dimensional":[95],"Model":[96],"Representation":[97],"(HDMR)":[98],"was":[100,128],"recently":[101],"proposed":[102,126],"as":[103],"efficient":[105],"tool":[106],"to":[107,142,167,182],"capture":[108],"input-output":[110],"relationships":[111],"high-dimensional":[113],"systems":[114],"for":[115,190],"many":[116],"problems":[117],"science":[119],"engineering.":[121],"approach":[127,162],"first":[129],"analysed":[130],"with":[131,152],"some":[132],"mathematical":[133],"functions":[134],"whose":[135],"optimums":[136],"analytically":[138],"known":[139],"comparison":[141],"grid":[144],"search":[145],"method.":[146],"Different":[147],"experiments":[148],"were":[149],"also":[150],"conducted":[151],"synthetic":[153],"hyperspectral":[155],"datasets.":[156],"main":[158],"advantage":[159],"over":[163],"grid-search":[165],"require":[168],"few":[170],"number":[171],"training":[173,187],"evaluation":[174],"hence":[176],"less":[177],"computational":[178],"time":[179,188],"order":[181],"optimize":[183],"parameters.":[185],"required":[189],"significantly":[193],"reduced.":[194]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}