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The 13th Iberoamerican Congress on Pattern Recognition (CIARP 2008, C- greso IberoAmericano de Reconocimiento de Patrones) was the 13th event in a seriesofpioneercongressesonpatternrecognitioninthecommunityofIberoam- icancountries. As was the case for previous conferences, CIARP 2008 attracted participants from around the world with the aim of promoting and disseminating ongoing researchon mathematical methods and computing techniques for pattern rec- nition, computer vision, image analysis, and speech recognition, as well as their application in such diverse areas as robotics, industry,...

The two-volume set LNCS 8258 and 8259 constitutes the refereed proceedings of the 18th Iberoamerican Congress on Pattern Recognition, CIARP 2013, held in Havana, Cuba, in November 2013. The 137 papers presented, together with two keynotes, were carefully reviewed and selected from 262 submissions. The papers are organized in topical sections on mathematical theory of PR, supervised and unsupervised classification, feature or instance selection for classification, image analysis and retrieval, signals analysis and processing, applications of pattern recognition, biometrics, video analysis,...

The two-volume set LNCS 8258 and 8259 constitutes the refereed proceedings of the 18th Iberoamerican Congress on Pattern Recognition, CIARP 2013, held in Havana, Cuba, in November 2013. The 137 papers presented, together with two keynotes, were carefully reviewed and selected from 262 submissions. The papers are organized in topical sections on mathematical theory of PR, supervised and unsupervised classification, feature or instance selection for classification, image analysis and retrieval, signals analysis and processing, applications of pattern recognition, biometrics, video analysis,...

ALVOT (ALgoritmos de VOTacion) es un modelo de algoritmos de clasificacion supervisada basado en precedencias parciales que permite trabajar con descripciones de objetos en terminos de variables numericas y no numericas simultaneamente e incluso admite valores desconocidos en las mismas. Este ha sido utilizado en numerosos problemas practicos en las denominadas ciencias poco formalizadas ("soft sciences") como por ejemplo las geociencias, la medicina, la criminalistica y otras. Los clasificadores ALVOT, como todos los clasificadores supervisados en general, necesitan de una "buena" matriz de...