In this paper, we present a low cost and flexible testbed to evaluate the performance of available bandwidth estimation tools in a common and controlled environment. In addition,...
We propose an approximate Bayesian approach for unsupervised feature selection and density estimation, where the importance of the features for clustering is used as the measure f...
—We propose a new method for online estimation of probabilistic discriminative models. The method is based on the recently proposed online Kernel Density Estimation (oKDE) framew...
In discrete event systems, a given task can start executing when all the required input data are available. The required input data for a given task may change along the evolution...
Estimating the pose of an imaging sensor is a central research problem. Many solutions have been proposed for the case of a rigid environment. In contrast, we tackle the case of a...