Despite their effectiveness for robust speech processing, missing data techniques are vulnerable to errors in the classification of the input speech signal’s time-frequency poi...
In this paper we address the image restoration problem in the variational framework. Classical approaches minimize the Lp norm of the residual and rely on parametric assumptions o...
Cesario Vincenzo Angelino, Eric Debreuve, Michel B...
Distributed Genetic Algorithm (DGA) is one of the most promising choices among the optimization methods. In this paper we describe DGAFrame, a flexible framework for evolutionary...
Positron Emission Tomography (PET) is an established functional imaging modality but its practical deployment is hampered by motion artefacts. This paper proposes a method for corr...
Adrian James Chung, Paolo G. Camici, Guang-Zhong Y...
The implementation of successful Assured Forwarding (AF) services according to the DiffServ framework remains a challenging problem today, despite the numerous proposals for AF PH...