The generalization of policies in reinforcement learning is a main issue, both from the theoretical model point of view and for their applicability. However, generalizing from a se...
: An implicit human-machine interaction communication framework that is sensitive to human affective states is presented. The overall goal is to achieve detection and recognition o...
The proposed software technique is a very low cost and an effective solution towards designing Byzantine fault tolerant computing application systems that are not so safety critic...
Automatic counting of people, entering or exiting a region of interest, is very important for both business and security applications. This paper introduces an automatic and robus...
Abstract. Exploiting the full computational power of current hierarchical multiprocessor machines requires a very careful distribution of threads and data among the underlying non-...