This paper investigates a new learning formulation called dynamic group sparsity. It is a natural extension of the standard sparsity concept in compressive sensing, and is motivat...
Many tasks in computer vision involve assigning a label (such as disparity) to every pixel. These tasks can be formulated as energy minimization problems. In this paper, we conside...
We address the problem of optimally controlling stochastic environments that are partially observable. The standard method for tackling such problems is to define and solve a Part...
Perceptual image hashing maps an image to a fixed length binary string based on the image's appearance to the human eye, and has applications in image indexing, authenticatio...
tnesses for Abstract Interpretation-based Proofs Fr´ed´eric Besson, Thomas Jensen, and Tiphaine Turpin IRISA/{Inria, CNRS, Universit´e de Rennes 1} Campus de Beaulieu, F-35042 R...