We present Policy Gradient Actor-Critic (PGAC), a new model-free Reinforcement Learning (RL) method for creating limited-memory stochastic policies for Partially Observable Markov ...
The distributed partitioning of autonomous, self-aware nodes into cooperative groups, within which scarce resources could be effectively shared for the benefit of the group, is ...
We present in this paper a solution for 3D face and facial feature tracking using canonical correlation analysis and a 3D geometric model. This model is controlled with 17 paramet...
The concept of a software product line is a promising approach for increasing planned reusability in industry. For planning future requirements, the integration of domain analysis ...
MOS (mean opinion score) subjective quality studies are used to evaluate many signal processing methods. Since laboratory quality studies are time consuming and expensive, researc...