Reinforcement learning is one of the main adaptive mechanisms that is both well documented in animal behaviour and giving rise to computational studies in animats and robots. In th...
Traditional collision intensive multi-body simulations are difficult to control due to extreme sensitivity to initial conditions or model parameters. Furthermore, there may be mu...
We present an algorithm for rendering subdivision surface models of complex scenes in a variety of artistic styles using an interactively editable particle system. The algorithm i...
Deep architectures are families of functions corresponding to deep circuits. Deep Learning algorithms are based on parametrizing such circuits and tuning their parameters so as to ...
We present a new algorithm to compute the head motion between two views from the correspondences of five feature points (eye corners, mouth corners, and nose top), and zero or mor...