This paper considers the estimation of shooter locations using a sensor network where each sensor measures the time difference between receptions of a firearm's muzzle blast ...
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
In this paper, we consider the problem of inferring per node loss rates from passive end-to-end measurements in wireless sensor networks. Specifically, we consider the case of in...