We incorporate auditory-based features into an unconventional pattern classification system, consisting of a network of spiking neurones with dynamical and multiplicative synapse...
Anomaly detection is a pattern recognition task whose goal is to report the occurrence of abnormal or unknown behavior in a given system being monitored. In this paper we propose a...
Rewbenio A. Frota, Guilherme De A. Barreto, Jo&ati...
This paper is devoted to the presentation of the RT-LOTOS formal description technique, which is a formalism suited for applications where concurrency, complex synchronization pat...
Jean-Pierre Courtiat, C. A. S. Santos, Christophe ...
So far few theoretical works investigated the conditions under which specific fusion rules can work well, and a unifying framework for comparing rules of different complexity is cl...
In this paper, an experimental comparison between fixed and trained fusion rules for multimodal personal identity verification is reported. We focused on the behaviour of the consi...
Fabio Roli, Josef Kittler, Giorgio Fumera, Daniele...