Virtually all methods of learning dynamic systems from data start from the same basic assumption: the learning algorithm will be given a sequence of data generated from the dynami...
Structure and motion estimation from long image sequences is a an important and difficult problem in computer vision. We propose a novel approach based on nonlinear and adaptive ...
A plausible representation of relational information among entities in dynamic systems such as a living cell or a social community is a stochastic network which is topologically r...
Flexible and distributed management systems based on mobile agents have certain advantages over centralized and static management architectures. However, security plays a decisive...
Abstract. We present an approach to static priority preemptive process scheduling for the synthesis of hard realtime distributed embedded systems where communication plays an impor...