Recent work on early vision such as image segmentation, image restoration, stereo matching, and optical flow models these problems using Markov Random Fields. Although this formula...
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Markov random field models provide a robust and unified framework for early vision problems such as stereo, optical flow and image restoration. Inference algorithms based on graph...
We study the connectivity properties of a family of random graphs which closely model the Bluetooth’s device discovery process, where each device tries to connect to other device...
Pilu Crescenzi, Carlo Nocentini, Andrea Pietracapr...
Graphical games capture some of the key aspects relevant to the study and design of multi-agent systems. It is often of interest to find the conditions under which a game is stab...
Bistra N. Dilkina, Carla P. Gomes, Ashish Sabharwa...