We address the problem of estimating the remaining energy of a node battery in wireless sensor networks. To solve this issue, we provide an on-line battery model that requires lim...
This paper deals with managing variability on behavioral models. Such models are generally more complex, less tractable by hand than the static, structural parts of a system descr...
Object class detection in scenes of realistic complexity remains a challenging task in computer vision. Most recent approaches focus on a single and general model for object class...
We propose a formulation of the Decision Tree learning algorithm in the Compression settings and derive tight generalization error bounds. In particular, we propose Sample Compres...