Now showing items 1-4 of 4

    • Desarrollo de un mecanismo de combinación de clasificadores basado en los vectores de salidas más cercanas 

      Jorge Soteras, Mikel Aingeru (2014)   Trabajo Fin de Grado/Gradu Amaierako Lana  OpenAccess
      Este proyecto consiste en desarrollar un nuevo modelo de combinación de clasificadores basado en la similitud entre las salidas que se obtienen entre el ejemplo a clasificar y los ejemplos de entrenamiento. Es decir, ...
    • INFFC: an iterative class noise filter based on the fusion of classifiers with noise sensitivity control 

      Sáez, José Antonio; Galar Idoate, Mikel Upna; Luengo, Julián; Herrera, Francisco (Elsevier, 2015)   Artículo / Artikulua  OpenAccess
      In classification, noise may deteriorate the system performance and increase the complexity of the models built. In order to mitigate its consequences, several approaches have been proposed in the literature. Among them, ...
    • A survey of fingerprint classification Part I: taxonomies on feature extraction methods and learning models 

      Galar Idoate, Mikel Upna; Derrac, Joaquín; Peralta, Daniel; Triguero, Isaac; Paternain Dallo, Daniel Upna; López Molina, Carlos Upna; García, Salvador; Benítez, José Manuel; Pagola Barrio, Miguel Upna; Barrenechea Tartas, Edurne Upna; Bustince Sola, Humberto Upna; Herrera, Francisco (Elsevier, 2015)   Artículo / Artikulua  OpenAccess
      This paper reviews the fingerprint classification literature looking at the problem from a double perspective. We first deal with feature extraction methods, including the different models considered for singular point ...
    • A survey of fingerprint classification Part II: experimental analysis and ensemble proposal 

      Galar Idoate, Mikel Upna; Derrac, Joaquín; Peralta, Daniel; Triguero, Isaac; Paternain Dallo, Daniel Upna; López Molina, Carlos Upna; García, Salvador; Benítez, José Manuel; Pagola Barrio, Miguel Upna; Barrenechea Tartas, Edurne Upna; Bustince Sola, Humberto Upna; Herrera, Francisco (Elsevier, 2015)   Artículo / Artikulua  OpenAccess
      In the first part of this paper we reviewed the fingerprint classification literature from two different perspectives: the feature extraction and the classifier learning. Aiming at answering the question of which among the ...