{"id":"https://openalex.org/W2006634995","doi":"https://doi.org/10.1109/icdar.2007.4376992","title":"Symbol Recognition Using a 2-class Hierarchical Model of Choquet Integrals","display_name":"Symbol Recognition Using a 2-class Hierarchical Model of Choquet Integrals","publication_year":2007,"publication_date":"2007-09-01","ids":{"openalex":"https://openalex.org/W2006634995","doi":"https://doi.org/10.1109/icdar.2007.4376992","mag":"2006634995"},"language":"en","primary_location":{"id":"doi:10.1109/icdar.2007.4376992","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdar.2007.4376992","pdf_url":null,"source":{"id":"https://openalex.org/S4210215987","display_name":"Proceedings of the International Conference on Document Analysis and Recognition","issn_l":"1520-5363","issn":["1520-5363","2379-2140"],"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":"Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2","raw_type":"proceedings-article"},"type":"conference-paper","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/A5080615669","display_name":"Laurent Wendling","orcid":"https://orcid.org/0000-0003-1091-5995"},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]},{"id":"https://openalex.org/I4210121838","display_name":"Laboratoire Lorrain de Recherche en Informatique et ses Applications","ror":"https://ror.org/02vnf0c38","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I277688954","https://openalex.org/I4210107720","https://openalex.org/I4210121838","https://openalex.org/I4210159245","https://openalex.org/I90183372"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"L. Wendling","raw_affiliation_strings":["France T\u00e9l\u00e9com Research and Development and LORIA, Villers-les-Nancy, France","France T\u00e9l\u00e9com R&D & LORIA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"France T\u00e9l\u00e9com Research and Development and LORIA, Villers-les-Nancy, France","institution_ids":["https://openalex.org/I19370010","https://openalex.org/I4210121838"]},{"raw_affiliation_string":"France T\u00e9l\u00e9com R&D & LORIA","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056464296","display_name":"Jan Rendek","orcid":null},"institutions":[{"id":"https://openalex.org/I4210121838","display_name":"Laboratoire Lorrain de Recherche en Informatique et ses Applications","ror":"https://ror.org/02vnf0c38","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I277688954","https://openalex.org/I4210107720","https://openalex.org/I4210121838","https://openalex.org/I4210159245","https://openalex.org/I90183372"]},{"id":"https://openalex.org/I4210127166","display_name":"Centre Inria de l'Universit\u00e9 de Lorraine","ror":"https://ror.org/03fcjvn64","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210127166"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"J. Rendek","raw_affiliation_strings":["LORIA-Universit\u00e9 de Nancy I, France","LORIA, Villers-les-Nancy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LORIA-Universit\u00e9 de Nancy I, France","institution_ids":["https://openalex.org/I4210121838"]},{"raw_affiliation_string":"LORIA, Villers-les-Nancy","institution_ids":["https://openalex.org/I4210127166","https://openalex.org/I4210121838"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2886","issue":null,"first_page":"634","last_page":"638"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9879000186920166,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9767000079154968,"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/choquet-integral","display_name":"Choquet integral","score":0.8380746245384216},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.7062337398529053},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.7058905363082886},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6161322593688965},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6159824728965759},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5968758463859558},{"id":"https://openalex.org/keywords/symbol","display_name":"Symbol (formal)","score":0.580577552318573},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5435012578964233},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5353707671165466},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4561653733253479},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4399324953556061},{"id":"https://openalex.org/keywords/decision-rule","display_name":"Decision rule","score":0.416925311088562},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4162030816078186},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30527952313423157},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.08350595831871033}],"concepts":[{"id":"https://openalex.org/C112799922","wikidata":"https://www.wikidata.org/wiki/Q5104911","display_name":"Choquet integral","level":3,"score":0.8380746245384216},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.7062337398529053},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.7058905363082886},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6161322593688965},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6159824728965759},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5968758463859558},{"id":"https://openalex.org/C134400042","wikidata":"https://www.wikidata.org/wiki/Q2372244","display_name":"Symbol (formal)","level":2,"score":0.580577552318573},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5435012578964233},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5353707671165466},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4561653733253479},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4399324953556061},{"id":"https://openalex.org/C84839998","wikidata":"https://www.wikidata.org/wiki/Q5249245","display_name":"Decision rule","level":2,"score":0.416925311088562},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4162030816078186},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30527952313423157},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.08350595831871033},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdar.2007.4376992","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdar.2007.4376992","pdf_url":null,"source":{"id":"https://openalex.org/S4210215987","display_name":"Proceedings of the International Conference on Document Analysis and Recognition","issn_l":"1520-5363","issn":["1520-5363","2379-2140"],"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":"Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W105027288","https://openalex.org/W1480213387","https://openalex.org/W1546593412","https://openalex.org/W1562353621","https://openalex.org/W1608701134","https://openalex.org/W1966176242","https://openalex.org/W1983000967","https://openalex.org/W1991947811","https://openalex.org/W2033810643","https://openalex.org/W2036234778","https://openalex.org/W2092851543","https://openalex.org/W2106997031","https://openalex.org/W2115629999","https://openalex.org/W2118376687","https://openalex.org/W2123018713","https://openalex.org/W2130660124","https://openalex.org/W2132549764","https://openalex.org/W2144364256","https://openalex.org/W2158275940","https://openalex.org/W2160852876","https://openalex.org/W2474211219","https://openalex.org/W2487898712","https://openalex.org/W6628845019"],"related_works":["https://openalex.org/W4213046089","https://openalex.org/W1541916863","https://openalex.org/W2042690472","https://openalex.org/W2110605196","https://openalex.org/W2359864538","https://openalex.org/W2036267305","https://openalex.org/W2761247866","https://openalex.org/W96873222","https://openalex.org/W2293784784","https://openalex.org/W2949501473"],"abstract_inverted_index":{"We":[0],"present":[1],"an":[2],"approach":[3,29],"allowing":[4],"to":[5,16,19,45,54,58,76],"automatically":[6],"extract":[7],"a":[8,21,40,47,73,82],"suitable":[9],"set":[10,49],"of":[11,50],"soft":[12],"output":[13],"classifiers":[14],"and":[15],"aggregate":[17],"them":[18],"provide":[20],"global":[22],"decision":[23,90],"using":[24],"the":[25,66,94,111],"Choquet":[26],"integral.":[27],"This":[28],"relies":[30],"on":[31,39,102],"two":[32],"key":[33],"points.":[34],"A":[35],"learning":[36],"algorithm":[37],"based":[38,101],"2-class":[41],"model":[42],"is":[43,81,106],"performed":[44],"define":[46],"new":[48],"decisions":[51],"rules":[52],"assuming":[53],"be":[55],"experts":[56],"dedicated":[57],"recognize":[59,77],"one":[60],"class":[61],"from":[62],"another":[63],"one.":[64],"All":[65],"associated":[67],"capacities":[68],"are":[69],"aggregated":[70],"again":[71],"at":[72],"high":[74],"level":[75],"symbols.":[78],"The":[79],"second":[80],"selection":[83],"scheme":[84],"that":[85],"discards":[86],"weak":[87],"or":[88],"redundant":[89],"rules,":[91],"keeping":[92],"only":[93],"most":[95],"relevant":[96],"subset.":[97],"An":[98],"experimental":[99],"study,":[100],"real":[103],"world":[104],"data,":[105],"then":[107,121],"described.":[108],"It":[109],"analyzes":[110],"improvements":[112],"achieve":[113],"by":[114],"these":[115],"points":[116],"first":[117],"when":[118,122],"used":[119],"independently,":[120],"combined":[123],"together.":[124]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
