Creating a robust image classification system depends on having enough data with which one can adequately train and validate the model. If there is not enough available data, this...
A new approach to the recognition of temporal behaviors and activities is presented. The fundamental idea, inspired by work in speech recognition, is to divide the inference probl...
We describe an algorithm for automatically learning discriminative components of objects with SVM classifiers. It is based on growing image parts by minimizing theoretical bounds ...
Bernd Heisele, Thomas Serre, Massimiliano Pontil, ...
— Faults in WSN are very common and appear in different levels of the system. For pervasive applications to be adopted by end-users there is a need for autonomic selfhealing. Thi...
In this paper, we characterize the joint network capacity region for a licensed broadcast (primary) and ad hoc cognitive (secondary) network in a heterogeneous environment, includ...