This paper presents a Knowledge Base System (KBS) as a key component of a federated simulation framework which allows the investigation of (inter)dependencies among Critical Infra...
Elisa Castorini, Paolo Palazzari, Alberto Tofani, ...
We propose a Bayesian framework for representing and recognizing local image motion in terms of two basic models: translational motion and motion boundaries. Motion boundaries are ...
Stochastic optimization problems attempt to model uncertainty in the data by assuming that (part of) the input is specified in terms of a probability distribution. We consider the...
In this paper, we propose a Bayesian model and a Monte Carlo Markov chain (MCMC) algorithm for reconstructing images that consist of only few non-zero pixels. An appropriate distr...
Nicolas Dobigeon, Alfred O. Hero, Jean-Yves Tourne...
Interconnect power is dynamic power dissipation due to switching of interconnection capacitances. This paper describes the characterization of interconnect power in a state-of-the...
Nir Magen, Avinoam Kolodny, Uri C. Weiser, Nachum ...