—There is a growing interest in methods for analyzing data describing networks of all types, including information, biological, physical, and social networks. Typically the data ...
Background: In class prediction problems using microarray data, gene selection is essential to improve the prediction accuracy and to identify potential marker genes for a disease...
Abstract--This paper investigates the performance of a new multivariate method for tensor-based morphometry (TBM). Statistics on Riemannian manifolds are developed that exploit the...
Natasha Lepore, Caroline A. Brun, Yi-Yu Chou, Ming...
—A better understanding of people’s daily behaviors with respect to the underlying wireless network is a crucial step toward Wi-Fi based pervasive networking. Existing analyses...
Thomas Claveirole, Mathias Boc, Marcelo Dias de Am...
Energy-efficient query dissemination plays an important role for the lifetime of sensor networks. In this work, we consider probabilistic flooding for query dissemination and deve...
Zinaida Benenson, Markus Bestehorn, Erik Buchmann,...