The need for Bayesian inference arises in military intelligence, medical diagnosis and many other practical applications. The problem is that human inferences are generally conserv...
Real-time graphics hardware continues to offer improved resources for programmable vertex and fragment shaders. However, shader programmers continue to write shaders that require ...
Andrew Riffel, Aaron E. Lefohn, Kiril Vidimce, Mar...
We study a new approach to provide an efficient VoD service to a large client population in P2P networks. Previous work has suggested to construct a multicast tree to distribute t...
Anwar Al Hamra, Ernst W. Biersack, Guillaume Urvoy...
Abstract Recent progress in mobile broadband communication and semantic web technology is enabling innovative internet services that provide advanced personalization and localizati...
We show how to apply learning methods to two robotics problems, namely the optimization of the on-board controller of an omnidirectional robot, and the derivation of a model of the...