In this work, we present a novel construction for solving the linear multiuser detection problem using the Gaussian Belief Propagation algorithm. Our algorithm yields an efficient,...
Danny Bickson, Danny Dolev, Ori Shental, Paul H. S...
—Nonparametric belief propagation (NBP) is one of the best-known methods for cooperative localization in sensor networks. It is capable to provide information about location esti...
In this paper we propose a new tool called OWL-CM (OWL Combining Matcher) that deals with uncertainty inherent to ontology mapping process. On the one hand, OWL-CM uses the techniq...
We present an algorithm for generating panoramic images of complex scenes from a multi-sensor camera. We further present a programmable graphics hardware implementation to process...
Abstract. This paper investigates the methods for learning predictive classifiers based on Bayesian belief networks (BN) – primarily unrestricted Bayesian networks and Bayesian m...