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Multiple Classifier Systems: 7th International Workshop, MCS 2007, Prague, Czech Republic, May 23-25, 2007. Proceedings

Michal Haindl ; Josef Kittler ; Fabio Roli (eds.)

En conferencia: 7º International Workshop on Multiple Classifier Systems (MCS) . Prague, Czech Republic . May 23, 2007 - May 25, 2007

Resumen/Descripción – provisto por la editorial

No disponible.

Palabras clave – provistas por la editorial

Pattern Recognition; Image Processing and Computer Vision; Artificial Intelligence (incl. Robotics); Biometrics; Computation by Abstract Devices

Disponibilidad
Institución detectada Año de publicación Navegá Descargá Solicitá
No detectada 2007 SpringerLink

Información

Tipo de recurso:

libros

ISBN impreso

978-3-540-72481-0

ISBN electrónico

978-3-540-72523-7

Editor responsable

Springer Nature

País de edición

Reino Unido

Fecha de publicación

Información sobre derechos de publicación

© Springer-Verlag Berlin Heidelberg 2007

Tabla de contenidos

Biometric Person Authentication Is a Multiple Classifier Problem

Samy Bengio; Johnny Mariéthoz

Several papers have already shown the interest of using multiple classifiers in order to enhance the performance of biometric person authentication systems. In this paper, we would like to argue that the core task of Biometric Person Authentication is actually a multiple classifier problem as such: indeed, in order to reach state-of-the-art performance, we argue that all current systems , in one way or another, try to solve several tasks simultaneously and that without such joint training (or sharing), they would not succeed as well. We explain hereafter this perspective, and according to it, we propose some ways to take advantage of it, ranging from more parameter sharing to similarity learning.

- Invited Papers | Pp. 513-522