A central problem in qualitative reasoning is understanding how people reason about space and shape with diagrams. We claim that progress in diagrammatic reasoning is being slowed...
Reinforcement learning is an effective technique for learning action policies in discrete stochastic environments, but its efficiency can decay exponentially with the size of the ...
We propose a scheme for modeling point sample geometry with statistical analysis. In our scheme we depart from the current schemes that deterministically represent the attributes ...
We present “contact levels of detail” (CLOD), a novel concept for multiresolution collision detection. Given a polyhedral model, our algorithm automatically builds a “dual h...
Our work focuses on the design of interaction techniques for large information spaces. Our goal is not to define yet another visualization technique but to provide insights for th...