The Bayesian committee machine (BCM) is a novel approach to combining estimators which were trained on different data sets. Although the BCM can be applied to the combination of a...
Based on Information Theory, optimal feature selection should be carried out by searching Markov blankets. In this paper, we formally analyze the current Markov blanket discovery ...
In this paper we present a family of models and learning algorithms that can simultaneously align and cluster sets of multidimensional curves measured on a discrete time grid. Our...
With recent advances in motion detection and tracking in video, more efforts are being directed at higher-level video analysis such as recognizing actions, events and activities. ...
To address the evolution of security incidents in current communication networks it is important to react quickly and efficiently to an attack. The RED (Reaction after Detection) ...