{"id":"https://openalex.org/W2119632409","doi":"https://doi.org/10.1142/s0218213007003655","title":"LARGE SCALE MULTIKERNEL RELEVANCE VECTOR MACHINE FOR OBJECT DETECTION","display_name":"LARGE SCALE MULTIKERNEL RELEVANCE VECTOR MACHINE FOR OBJECT DETECTION","publication_year":2007,"publication_date":"2007-12-01","ids":{"openalex":"https://openalex.org/W2119632409","doi":"https://doi.org/10.1142/s0218213007003655","mag":"2119632409"},"language":"en","primary_location":{"id":"doi:10.1142/s0218213007003655","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218213007003655","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Artificial Intelligence Tools","raw_type":"journal-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/A5010458622","display_name":"Dimitris Tzikas","orcid":null},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"DIMITRIS TZIKAS","raw_affiliation_strings":["Department of Computer Science, University of Ioannina, Ioannina, 45110, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Ioannina, Ioannina, 45110, Greece","institution_ids":["https://openalex.org/I194019607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007939716","display_name":"Aristidis Likas","orcid":"https://orcid.org/0000-0003-3170-5428"},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"ARISTIDIS LIKAS","raw_affiliation_strings":["Department of Computer Science, University of Ioannina, Ioannina, 45110, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Ioannina, Ioannina, 45110, Greece","institution_ids":["https://openalex.org/I194019607"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082907939","display_name":"N.P. Galatsanos","orcid":null},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"NIKOLAS GALATSANOS","raw_affiliation_strings":["Department of Computer Science, University of Ioannina, Ioannina, 45110, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Ioannina, Ioannina, 45110, Greece","institution_ids":["https://openalex.org/I194019607"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I194019607"],"apc_list":null,"apc_paid":null,"fwci":1.6191,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.85206494,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"16","issue":"06","first_page":"967","last_page":"979"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9702000021934509,"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/T10057","display_name":"Face and Expression Recognition","score":0.9702000021934509,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9458000063896179,"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":0.9434000253677368,"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/computer-science","display_name":"Computer science","score":0.8302984237670898},{"id":"https://openalex.org/keywords/relevance-vector-machine","display_name":"Relevance vector machine","score":0.8289362788200378},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6223026514053345},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5746395587921143},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5506042838096619},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5359595417976379},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5022387504577637},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.47706568241119385},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.4750775694847107},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.46797966957092285},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.45250898599624634},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.44989603757858276},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.44641339778900146},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40454399585723877},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2808341979980469},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12039819359779358}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8302984237670898},{"id":"https://openalex.org/C14948415","wikidata":"https://www.wikidata.org/wiki/Q7310972","display_name":"Relevance vector machine","level":3,"score":0.8289362788200378},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6223026514053345},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5746395587921143},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5506042838096619},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5359595417976379},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5022387504577637},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.47706568241119385},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.4750775694847107},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.46797966957092285},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.45250898599624634},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.44989603757858276},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.44641339778900146},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40454399585723877},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2808341979980469},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12039819359779358},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218213007003655","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218213007003655","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Artificial Intelligence Tools","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1591346633","https://openalex.org/W1633751774","https://openalex.org/W1779118659","https://openalex.org/W1819276697","https://openalex.org/W2085077509","https://openalex.org/W2098841537","https://openalex.org/W2119118554","https://openalex.org/W2119821739","https://openalex.org/W2139337153","https://openalex.org/W2149839062","https://openalex.org/W2164598857","https://openalex.org/W4285719527","https://openalex.org/W4288945189"],"related_works":["https://openalex.org/W2565312173","https://openalex.org/W2066952721","https://openalex.org/W2335152656","https://openalex.org/W3147035969","https://openalex.org/W2359936972","https://openalex.org/W2104936869","https://openalex.org/W2383027800","https://openalex.org/W2206547991","https://openalex.org/W2186666570","https://openalex.org/W4311365199"],"abstract_inverted_index":{"The":[0],"Relevance":[1],"Vector":[2],"Machine(RVM)":[3],"is":[4],"a":[5,22],"widely":[6],"accepted":[7],"Bayesian":[8],"model":[9,42],"commonly":[10],"used":[11],"for":[12,43],"regression":[13],"and":[14,28],"classification":[15],"tasks.":[16],"In":[17],"this":[18,41],"paper":[19],"we":[20],"propose":[21],"multikernel":[23],"version":[24],"of":[25],"the":[26,52,56],"RVM":[27],"present":[29],"an":[30],"alternative":[31],"inference":[32],"algorithm":[33],"based":[34],"on":[35],"Fourier":[36],"domain":[37],"computation":[38],"to":[39,55],"solve":[40],"large":[44],"scale":[45],"problems,":[46],"e.g.":[47],"images.":[48],"We":[49],"then":[50],"apply":[51],"proposed":[53],"method":[54],"object":[57],"detection":[58],"problem":[59],"with":[60],"promising":[61],"results.":[62]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
