This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
We present a new interactive method to texture complex geometries at very high resolution, while using little memory and without the need for a global planar parameterization. We ...
We present a new discretization for the physics-based animation of developable surfaces. Constrained to not deform at all in-plane but free to bend out-of-plane, these are an exce...
We study the complexity of evaluating positive equality-free sentences of first-order (FO) logic over fixed, finite structures B. This may be seen as a natural generalisation of th...
Focussed XML component retrieval is one of the most important challenges in the XML IR field. The aim of the focussed retrieval strategy is to find the most exhaustive and specifi...