The estimation of parametric global motion is one of the cornerstones of computer vision. Such schemes are able to estimate various motion models (translation, rotation, affine, p...
In this work we investigate the potential of combining AI tree-search algorithms with the algorithms of combinatorial game theory to provide more efficient strategies for playing s...
MAP queueing networks are recently proposed models for performance assessment of enterprise systems, such as multi-tier applications, where workloads are significantly affected b...
In this contribution, new online EM algorithms are proposed to perform inference in general hidden Markov models. These algorithms update the parameter at some deterministic times ...
Abstract. Two approaches have been used to perform approximate inference in Bayesian networks for which exact inference is infeasible: employing an approximation algorithm, or appr...