— Modeling robot motion planning with uncertainty in a Bayesian framework leads to a computationally intractable stochastic control problem. We seek hypotheses that can justify a...
Andrea Censi, Daniele Calisi, Alessandro De Luca, ...
We propose a multi-target tracking algorithm based on the Probability Hypothesis Density (PHD) filter and data association using graph matching. The PHD filter is used to compen...
Emilio Maggio, Elisa Piccardo, Carlo S. Regazzoni,...
—In this paper we study the propagation of malicious software in wireless ad hoc networks under a probabilistic framework. We design topology control algorithms for the developme...
Vasileios Karyotis, Symeon Papavassiliou, Mary Gra...
Abstract— We propose belief propagation (BP) based detection algorithms for the Bell labs layered space-time (BLAST) architectures. We first develop a full complexity BP algorit...
We present a new tracking algorithm based on the full multidirectional information of the diffusion orientation distribution function (ODF) estimated from Q-Ball Imaging (QBI). Fr...