The links between genetic algorithms and population-based Markov Chain Monte Carlo (MCMC) methods are explored. Genetic algorithms (GAs) are well-known for their capability to opt...
We target the problem of closed-loop learning of control policies that map visual percepts to continuous actions. Our algorithm, called Reinforcement Learning of Joint Classes (RLJ...
Abstract—The multi-band target detection algorithms implemented in hyperspectral imaging systems represent perhaps the most successful example of image fusion. A core suite of su...
— This paper deals with problems related to the capture of a tumbling satellite by a space robot. The minimization of the base attitude deviation before and after the contact wit...
Animation of facial speech and expressions has experienced increased attention recently. Most current research focuses on techniques for capturing, synthesizing, and retargeting f...