Image restoration is a keen problem of low level vision. In this paper, we propose a novel - assumption-free on the noise model - technique based on random walks for image enhancem...
We consider the problem of multiclass classification where both labeled and unlabeled data points are given. We introduce and demonstrate a new approach for estimating a distribut...
With the adoption of ultra regular fabric paradigms for controlling design printability at the 22nm node and beyond, there is an emerging need for a layout-driven, pattern-based p...
Tarek A. El-Moselhy, Ibrahim M. Elfadel, Luca Dani...
: We give the first combinatorial approximation algorithm for MAXCUT that beats the trivial 0.5 factor by a constant. The main partitioning procedure is very intuitive, natural, an...
Recently developed adaptive Markov chain Monte Carlo (MCMC) methods have been applied successfully to many problems in Bayesian statistics. Grapham is a new open source implementat...