We propose a method for estimating demosaicing algorithms from image noise variance. We show that the noise variance in interpolated pixels becomes smaller than that of directly o...
Jun Takamatsu, Yasuyuki Matsushita, Tsukasa Ogasaw...
We propose a novel stochastic graph matching algorithm based on data-driven Markov Chain Monte Carlo (DDMCMC) sampling technique. The algorithm explores the solution space efficien...
A new approach to characterizing the performance of point-correspondencealgorithmsis presented. Instead of relyingon any \ground truth', it uses the self-consistency of the o...
Abstract. One of the first motivations of using grids comes from applications managing large data sets like for example in High Energy Physic or Life Sciences. To improve the glob...
Frederic Desprez, Antoine Vernois, Christophe Blan...
In high energy physics, bioinformatics, and other disciplines, we encounter applications involving numerous, loosely coupled jobs that both access and generate large data sets. So...