Markov Random Fields are widely used in many image processing applications. Recently the shortcomings of some of the simpler forms of these models have become apparent, and models ...
Markov Random Fields (MRFs) are ubiquitous in lowlevel computer vision. In this paper, we propose a new approach to the optimization of multi-labeled MRFs. Similarly to -expansion...
We show that random graphs in the preferential connectivity model have constant conductance, and hence have worst-case routing congestion that scales logarithmically with the numb...
Milena Mihail, Christos H. Papadimitriou, Amin Sab...
Waterfilling solutions provide optimal power distribution in multiple-input multiple-output (MIMO) system design. However, the optimal distribution is usually obtained through cost...
Victor M. Vergara, Silvio E. Barbin, Ramiro Jordan
Abstract. Many applications rely on the security of their random number generator. It is therefore essential that such devices be extensively tested for malfunction. The purpose of...