Computational grids are solutions for several biological applications like virtual screening or molecular dynamics where large amounts of computing power and storage are required....
Vinod Kasam, Jean Salzemann, Nicolas Jacq, Astrid ...
We present a new and efficient semi-supervised training method for parameter estimation and feature selection in conditional random fields (CRFs). In real-world applications suc...
Abstract. This paper presents Webots: a realistic mobile robot simulator allowing a straightforward transfer to real robots. The simulator currently support the Khepera mobile robo...
We begin by reviewing current spatial approaches to CSCW (mediaspaces, spatial video conferencing, collaborative virtual environments and telepresence applications) and classifyin...
Steve Benford, Chris Brown, Gail Reynard, Chris Gr...
It is often thought that learning algorithms that track the best solution, as opposed to converging to it, are important only on nonstationary problems. We present three results s...