Legacy applications can be difficult and time-consuming to understand and update due to the lack of modern abstraction mechanisms in legacy languages, as well as the gradual dete...
The Dantzig selector is a near ideal estimator for recovery of sparse signals from linear measurements in the presence of noise. It is a convex optimization problem which can be r...
Abstract. Approximate dynamic programming offers a new modeling and algorithmic strategy for complex problems such as rail operations. Problems in rail operations are often modeled...
Simplifying the programming models is paramount to the success of reconfigurable computing. We apply the principles of object-oriented programming to the design of stream archite...
This paper shows how Markovian segmentation algorithms used to solve well known computer vision problems such as motion estimation, motion detection and stereovision can be signi...
Pierre-Marc Jodoin, Max Mignotte, Jean-Franç...