Planning under uncertainty is an important and challenging problem in multiagent systems. Multiagent Partially Observable Markov Decision Processes (MPOMDPs) provide a powerful fr...
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 ...
Abstract. In this paper we study a new approach to classify mathematical theorems according to their computational content. Basically, we are asking the question which theorems can...
Drawing on the correspondence between the graph Laplacian, the Laplace-Beltrami operator on a manifold, and the connections to the heat equation, we propose a geometrically motiva...
Light-weight, flexible access control, which allows software to regulate reads and writes to any granularity of memory region, can help improve the reliability of today’s multi...