Voice signal processing with the purpose of recognizing the person speaking is a very
interesting problem in the area of security that can be solved based on biometric techniques …

Knowledge discovery from existing information is a non-trivial process that consists in
identifying valid, new, potentially useful, and understandable patterns from available data …

The detection of regions and objects in digital images is a topic of utmost importance for
solving several problems related to the area of pattern recognition. In this direction …

The fuzzy classification systems have been broadly used to solve control and decision-
making problem. However, its design is complex, even when having a human expert …

FRvarPSO is a new method for obtaining classification rules, which operates on nominal
and/or fuzzy attributes. It combines LVQ, which is a supervised learning neural network. The …

Esta línea de investigación se centra en el estudio y desarrollo de Sistemas Inteligentes
basados en mecanismos de adaptación. Actualmente el énfasis está puesto en la …

FRvarPSO is a new method for obtaining classification rules, which operates on nominal
and/or fuzzy attributes. It combines LVQ, which is a supervised learning neural network. The …

Los mapas auto-organizativos (SOM–Self organizing maps) son un tipo de red neuronal
ampliamente conocido por su capacidad para preservar la topología de los datos de …

Voice signal processing with the purpose of recognizing the person speaking is a very
interesting problem in the area of security that can be solved based on biometric techniques …

Thinning is one of the most important preprocessing steps in the character recognition. But
this process has certain limitations like low speed and deformation. To eliminate this …