This paper presents a novel hardware implementation of a disparity estimation scheme targeted to real-time Integral Photography (IP) image and video sequence compression. The soft...
In recent years, there has been a growing interest in applying Bayesian networks and their extensions to reconstruct regulatory networks from gene expression data. Since the gene ...
Many kernel learning algorithms, including support vector machines, result in a kernel machine, such as a kernel classifier, whose key component is a weight vector in a feature sp...
Designing secure protocols over ad-hoc networks has proved to be a very challenging task, due to various features of such networks, such as partial connectivity, node mobility, an...
The Hardware (HW)/Software (SW) partitioning/scheduling relies on two subtasks : the cost function and the real time (RT) analysis. Besides these two subtasks, the proposed generi...