—Despite extensive research focused on enabling QoS for grid users through economic and intelligent resource provisioning, no consensus has emerged on the most promising strategi...
We address the problem of learning view-invariant 3D models of human motion from motion capture data, in order to recognize human actions from a monocular video sequence with arbi...
The development of a real time image processing on a specific architecture is always restricting for the user who must master all the elementary mechanisms of the machine. Such sp...
In this paper fully connected RTRL neural networks are studied. In order to learn dynamical behaviours of linear-processes or to predict time series, an autonomous learning algori...
Abstract. To model real-life critical systems, one needs“high-level”languages to express three important concepts: complex data structures, concurrency, and real-time. So far, ...