{"id":"https://openalex.org/W4241767839","doi":"https://doi.org/10.1109/icpr.2004.1334059","title":"Learning optimal classifier through fuzzy recognition rate maximization","display_name":"Learning optimal classifier through fuzzy recognition rate maximization","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W4241767839","doi":"https://doi.org/10.1109/icpr.2004.1334059"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2004.1334059","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334059","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","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/A5021412452","display_name":"M. Goccia","orcid":null},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"M. Goccia","raw_affiliation_strings":["University of Genoa-DIBE, Genoa, Italy"],"affiliations":[{"raw_affiliation_string":"University of Genoa-DIBE, Genoa, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065852893","display_name":"C. Scagliola","orcid":null},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"C. Scagliola","raw_affiliation_strings":["University of Genoa-DIBE, Genoa, Italy"],"affiliations":[{"raw_affiliation_string":"University of Genoa-DIBE, Genoa, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048421229","display_name":"S. Dellepiane","orcid":null},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"S. Dellepiane","raw_affiliation_strings":["University of Genoa-DIBE, Genoa, Italy"],"affiliations":[{"raw_affiliation_string":"University of Genoa-DIBE, Genoa, Italy","institution_ids":["https://openalex.org/I83816512"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5021412452"],"corresponding_institution_ids":["https://openalex.org/I83816512"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.34821429,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"16","issue":null,"first_page":"204","last_page":"207 Vol.1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9955999851226807,"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":0.9955999851226807,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.984499990940094,"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":0.9729999899864197,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cursive","display_name":"Cursive","score":0.919971764087677},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6548160314559937},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6376777291297913},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6369637250900269},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6307544112205505},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.5625158548355103},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5573851466178894},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5062157511711121},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.42689406871795654},{"id":"https://openalex.org/keywords/chain-code","display_name":"Chain code","score":0.4111120402812958},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.267425000667572},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.13137418031692505}],"concepts":[{"id":"https://openalex.org/C2778943297","wikidata":"https://www.wikidata.org/wiki/Q1079418","display_name":"Cursive","level":2,"score":0.919971764087677},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6548160314559937},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6376777291297913},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6369637250900269},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6307544112205505},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.5625158548355103},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5573851466178894},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5062157511711121},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.42689406871795654},{"id":"https://openalex.org/C93058836","wikidata":"https://www.wikidata.org/wiki/Q1453572","display_name":"Chain code","level":3,"score":0.4111120402812958},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.267425000667572},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.13137418031692505},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr.2004.1334059","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334059","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unige.it:11567/234735","is_oa":false,"landing_page_url":"http://hdl.handle.net/11567/234735","pdf_url":null,"source":{"id":"https://openalex.org/S4377196291","display_name":"CINECA IRIS Institutial Research Information System (University of Genoa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I83816512","host_organization_name":"University of Genoa","host_organization_lineage":["https://openalex.org/I83816512"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.75,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1533603865","https://openalex.org/W1946293154","https://openalex.org/W1990863955","https://openalex.org/W2010263988","https://openalex.org/W2054804336","https://openalex.org/W2063541597","https://openalex.org/W2114236913","https://openalex.org/W2122550504","https://openalex.org/W6631910796","https://openalex.org/W6640862666"],"related_works":["https://openalex.org/W2373698219","https://openalex.org/W2035729865","https://openalex.org/W4253008392","https://openalex.org/W2986912172","https://openalex.org/W3092020155","https://openalex.org/W2131709163","https://openalex.org/W1482703512","https://openalex.org/W1564886395","https://openalex.org/W2525994689","https://openalex.org/W2785422900"],"abstract_inverted_index":{"The":[0,51],"adjustment":[1],"of":[2,10,13,21,45,56,68],"the":[3,8,11,16,43,66,81,91],"metric":[4],"(features":[5],"weighting)":[6],"and":[7,72,88],"optimisation":[9],"position":[12],"prototypes":[14],"in":[15,25],"feature":[17],"space":[18],"are":[19],"two":[20,39],"most":[22],"important":[23],"problems":[24,40],"minimum":[26],"distance":[27],"classifiers.":[28],"This":[29],"paper":[30],"presents":[31],"a":[32,46,54],"new":[33],"method":[34,84],"to":[35,59],"deal":[36],"with":[37,80],"these":[38],"based":[41],"on":[42,65],"maximisation":[44],"fuzzy":[47],"recognition":[48,67],"rate":[49],"functional.":[50],"functional":[52],"is":[53,85],"result":[55],"an":[57],"easy":[58],"understand":[60],"mathematical":[61],"formulation.":[62],"Experimental":[63],"results":[64],"binary":[69],"cursive":[70,92],"characters":[71,76],"gray-level":[73],"container":[74],"code":[75],"follow.":[77],"A":[78],"comparison":[79],"standard":[82],"LVQ":[83],"also":[86],"made":[87],"discussed":[89],"for":[90],"character":[93],"case.":[94]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}