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...
Many techniques have been reported for handwriting-based writer identification. Most such techniques assume that the written text is fixed (e.g., in signature verification). In th...
H. E. S. Said, G. S. Peake, T. N. Tan, Keith D. Ba...
We present an integrated framework for dynamic face detection and recognition, where head pose is estimated using Support Vector Regression, face detection is performed by Support...