{"id":"https://openalex.org/W2142332943","doi":"https://doi.org/10.1109/icassp.2008.4517999","title":"Dynamic spectrum classification by divergence-based kernel machines and its application to the detection of worn-out banknotes","display_name":"Dynamic spectrum classification by divergence-based kernel machines and its application to the detection of worn-out banknotes","publication_year":2008,"publication_date":"2008-03-01","ids":{"openalex":"https://openalex.org/W2142332943","doi":"https://doi.org/10.1109/icassp.2008.4517999","mag":"2142332943"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2008.4517999","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2008.4517999","pdf_url":null,"source":{"id":"https://openalex.org/S4210167542","display_name":"Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing","issn_l":"1520-6149","issn":["1520-6149","2379-190X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5014294379","display_name":"Tsukasa Ishigaki","orcid":null},"institutions":[{"id":"https://openalex.org/I4210086780","display_name":"Japan Science and Technology Agency","ror":"https://ror.org/00097mb19","country_code":"JP","type":"government","lineage":["https://openalex.org/I4210086780"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tsukasa Ishigaki","raw_affiliation_strings":["Japan Science and Technology Agency, Minato, Tokyo, Japan","Japan Sci. & Technol. Agency, Tokyo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Japan Science and Technology Agency, Minato, Tokyo, Japan","institution_ids":["https://openalex.org/I4210086780"]},{"raw_affiliation_string":"Japan Sci. & Technol. Agency, Tokyo","institution_ids":["https://openalex.org/I4210086780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062020503","display_name":"Tomoyuki Higuchi","orcid":"https://orcid.org/0000-0003-3021-3173"},"institutions":[{"id":"https://openalex.org/I4210086780","display_name":"Japan Science and Technology Agency","ror":"https://ror.org/00097mb19","country_code":"JP","type":"government","lineage":["https://openalex.org/I4210086780"]},{"id":"https://openalex.org/I4210134673","display_name":"The Institute of Statistical Mathematics","ror":"https://ror.org/03jcejr58","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I4210134673","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomoyuki Higuchi","raw_affiliation_strings":["Institute for Statistical Mathematics, Minato, Tokyo, Japan","Japan Science and Technology Agency, 4-6-7 Minami Azabu, Minato-ku, Tokyo 106-8569, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Statistical Mathematics, Minato, Tokyo, Japan","institution_ids":["https://openalex.org/I4210134673"]},{"raw_affiliation_string":"Japan Science and Technology Agency, 4-6-7 Minami Azabu, Minato-ku, Tokyo 106-8569, Japan","institution_ids":["https://openalex.org/I4210086780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.18683084,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1873","last_page":"1876"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14319","display_name":"Currency Recognition and Detection","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T14319","display_name":"Currency Recognition and Detection","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10320","display_name":"Neural Networks and Applications","score":0.992900013923645,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9879999756813049,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.7638486623764038},{"id":"https://openalex.org/keywords/polynomial-kernel","display_name":"Polynomial kernel","score":0.6794383525848389},{"id":"https://openalex.org/keywords/variable-kernel-density-estimation","display_name":"Variable kernel density estimation","score":0.6232203245162964},{"id":"https://openalex.org/keywords/radial-basis-function-kernel","display_name":"Radial basis function kernel","score":0.6188256144523621},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6162996292114258},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5965564250946045},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5515850186347961},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.49878668785095215},{"id":"https://openalex.org/keywords/kernel-embedding-of-distributions","display_name":"Kernel embedding of distributions","score":0.4909403622150421},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.4898967146873474},{"id":"https://openalex.org/keywords/gaussian-function","display_name":"Gaussian function","score":0.4728921949863434},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4116196036338806},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.3631901741027832},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35404127836227417},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.3021487295627594}],"concepts":[{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7638486623764038},{"id":"https://openalex.org/C160446489","wikidata":"https://www.wikidata.org/wiki/Q7226642","display_name":"Polynomial kernel","level":4,"score":0.6794383525848389},{"id":"https://openalex.org/C195699287","wikidata":"https://www.wikidata.org/wiki/Q7915722","display_name":"Variable kernel density estimation","level":4,"score":0.6232203245162964},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.6188256144523621},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6162996292114258},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5965564250946045},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5515850186347961},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.49878668785095215},{"id":"https://openalex.org/C134517425","wikidata":"https://www.wikidata.org/wiki/Q16000131","display_name":"Kernel embedding of distributions","level":4,"score":0.4909403622150421},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.4898967146873474},{"id":"https://openalex.org/C7218915","wikidata":"https://www.wikidata.org/wiki/Q1054475","display_name":"Gaussian function","level":3,"score":0.4728921949863434},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4116196036338806},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.3631901741027832},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35404127836227417},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.3021487295627594},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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":1,"locations":[{"id":"doi:10.1109/icassp.2008.4517999","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2008.4517999","pdf_url":null,"source":{"id":"https://openalex.org/S4210167542","display_name":"Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing","issn_l":"1520-6149","issn":["1520-6149","2379-190X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.4000000059604645,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1563088657","https://openalex.org/W1648445109","https://openalex.org/W2098770944","https://openalex.org/W2142069051","https://openalex.org/W2534642267","https://openalex.org/W4285719527","https://openalex.org/W6675086664"],"related_works":["https://openalex.org/W2366185040","https://openalex.org/W2382704364","https://openalex.org/W4221107122","https://openalex.org/W2140869420","https://openalex.org/W2353199197","https://openalex.org/W2558026684","https://openalex.org/W4311472972","https://openalex.org/W4306800962","https://openalex.org/W2098028537","https://openalex.org/W1661924774"],"abstract_inverted_index":{"In":[0],"the":[1,4,10,16,35,42,49,63,73,83,92,96,112,116],"kernel":[2,11,32,37,51,98,114],"method,":[3],"appropriate":[5],"selection":[6],"or":[7,115],"design":[8],"of":[9,18,44,75,85],"function":[12],"is":[13,70,99],"important":[14],"for":[15,82],"construction":[17],"a":[19,26,56,90],"high-performance":[20],"classifier.":[21],"The":[22,67],"present":[23,68],"paper":[24],"describes":[25],"dynamic":[27,64],"spectrum":[28,65],"classification":[29,93],"method":[30,69],"using":[31,79,95,107],"classifiers":[33],"with":[34],"divergence-based":[36,50,97],"and":[38],"its":[39],"application":[40],"to":[41,72,101],"detection":[43,74],"worn-out":[45,76],"banknotes.":[46,88],"We":[47],"introduce":[48],"that":[52],"was":[53],"proposed":[54],"as":[55,111],"measure":[57],"between":[58],"two":[59],"probability":[60],"distributions":[61],"into":[62],"classification.":[66],"applied":[71],"banknotes":[77],"by":[78],"acoustic":[80],"signals":[81],"facilitation":[84],"identifying":[86],"counterfeit":[87],"As":[89],"result,":[91],"performance":[94,104],"shown":[100],"have":[102],"better":[103],"than":[105],"those":[106],"common":[108],"kernels":[109],"such":[110],"Gaussian":[113],"polynomial":[117],"kernel.":[118]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}