A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
Abstract-- This paper considers the integration of communication and control with respect to the task of coordinated heading control for a group of N vehicles. The heading control ...
Daniel J. Klein, Phillip Lee, Kristi A. Morgansen,...
In this paper we present techniques for the real-time simulation and rendering of liquids. Appropriate approximations to a full 3D simulation are applied to reduce the numerical c...
Thomas Klein, Mike Eissele, Daniel Weiskopf, Thoma...
—In wireless ad-hoc sensor networks, an important issue often faced in geographic greedy forwarding routing is the “local minimum phenomenon” which is caused by deployment ho...
The method of stochastic state classes approaches the analysis of Generalised Semi Markov Processes (GSMP) through symbolic derivation of probability density functions over Differe...