In this paper we address two aspects related to the exploitation of Support Vector Machines (SVM) for classification in real application domains, such as the detection of objects ...
It is often useful to know the geographic positions of nodes in a communications network, but adding GPS receivers or other sophisticated sensors to every node can be expensive. W...
Yi Shang, Wheeler Ruml, Ying Zhang, Markus P. J. F...
In this paper, we propose a new Distributed Cooperation and Diversity Combining framework. Our focus is heterogeneous networks with devices equipped with two types of radio frequen...
Fully autonomous vehicles promise enormous gains in safety, efficiency, and economy. Before such gains can be realized, safety and reliability concerns must be addressed. We have ...
In the context of classification problems, algorithms that generate multivariate trees are able to explore multiple representation languages by using decision tests based on a com...