Recent works about the activity-oriented approach et educational modeling languages ask questions about the pedagogical scenario concept. The aim of this paper is to define the fo...
We introduce a new inference algorithm for Dirichlet process mixture models. While Gibbs sampling and variational methods focus on local moves, the new algorithm makes more global...
We present a new local method for collision avoidance that is based on collision prediction. In our model, each pedestrian predicts possible future collisions with other pedestrian...
Ioannis Karamouzas, Peter Heil, Pascal van Beek, M...
Consider the problem of tting a nite Gaussian mixture, with an unknown number of components, to observed data. This paper proposes a new minimum description length (MDL) type crite...
With current trends towards moving variability from hardware to software, and given the increasing desire to postpone design decisions as much as is economically feasible, managin...
Rabih Bashroush, Ivor T. A. Spence, Peter Kilpatri...