We consider reinforcement learning as solving a Markov decision process with unknown transition distribution. Based on interaction with the environment, an estimate of the transit...
This paper describes a new method for estimating the illumination distribution of a real scene from a radiance distribution inside shadows cast by an object in the scene. First, t...
The Distributed Object Group Framework(DOGF) we constructed supports the grouping of distributed objects that are required for distributed application. From the DOGF, we manage dis...
The advent of distributed memory parallel muchines turns feasible the design and implementation of dedicated environments for distributed applications. This puper addresses such a...
Within the trend of object-based distributed programming, we present a non-intrusive graphical environment for remote monitoring and steering, IC2D: Interactive Control and Debuggi...