The emergence and continuing use of multi-core architectures require changes in the existing software and sometimes even a redesign of the established algorithms in order to take ...
Emmanuel Agullo, Bilel Hadri, Hatem Ltaief, Jack D...
The primary focus of this project is to design and implement a parallel framework for an unstructured mesh generator based on the advancing front method (AFM). In particular, we t...
This paper presents a layered framework for 3D-TV applications, combining multiview and depth-image based approaches in a scalable fashion. To solve the problem of missing data du...
Factored Reinforcement Learning (frl) is a new technique to solve Factored Markov Decision Problems (fmdps) when the structure of the problem is not known in advance. Like Anticipa...
Olivier Sigaud, Martin V. Butz, Olga Kozlova, Chri...
Administration of large-scale RBAC systems is a challenging open problem. We propose a principled approach in designing and analyzing administrative models for RBAC. We identify s...