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Reducing the amount of input data in traffic sign classification

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dc.affiliation.dptoUC3M. Departamento de Informáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Laboratorio de Control, Aprendizaje y Optimización de Sistemas (CAOS)es
dc.contributor.authorGranados, Ana
dc.contributor.authorLedezma Espino, Agapito Ismael
dc.contributor.authorGutiérrez Sánchez, Germán
dc.contributor.authorSanchis de Miguel, María Araceli
dc.date.accessioned2011-05-24T14:26:29Z
dc.date.available2011-05-24T14:26:29Z
dc.date.issued2006
dc.descriptionProceeding of: 3th International Conference Modeling Decisions for Artificial Intelligence, MDAI 2006. Tarragona, Catalonia, Spain, april 3-5th, 2006.
dc.description.abstractSeveral complex problems have to be solved in order to build Intelligent Transport Systems. Among them, it is worth mentioning the detection and classification of tra±c signs which could appear at any position within a captured image. This paper analyzes the influence of the number of attributes in the field of classification of tra±c signs when automatic learning techniques are used. In order to face this task, four different approaches have been considered, three of them symbolic and one sub-symbolic. These techniques have been applied using two different input pattern dimensions and their performances have been compared.
dc.description.sponsorshipThe research reported here was carried out as a part of the research project CICYT TRA2004-07441-C03-01.
dc.description.statusNo publicado
dc.format.mimetypetext/plain
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationThrid International Conference Modeling Decisions for Artificial Intelligence, MDAI 2006
dc.identifier.urihttps://hdl.handle.net/10016/11217
dc.language.isoeng
dc.relation.eventdateapril 3-5th, 2006
dc.relation.eventnumber3
dc.relation.eventplaceTarragona (Catalonia, Spain)
dc.relation.eventtitleInternational Conference Modeling Decisions for Artificial Intelligence, MDAI 2006
dc.rights.accessRightsopen access
dc.subject.ecienciaInformática
dc.titleReducing the amount of input data in traffic sign classification
dc.typeconference proceedings*
dc.type.hasVersionAM*
dspace.entity.typePublication
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