—We apply large deviations theory to study asymptotic performance of running consensus distributed detection in sensor networks. Running consensus is a stochastic approximation t...
Boosting-basedmethods have recently led to the state-ofthe-art face detection systems. In these systems, weak classifiers to be boosted are based on simple, local, Haar-like featu...
—Contexts, the pieces of information that capture the characteristics of computing environments, are often inconsistent in the dynamic and uncertain pervasive computing environme...
We argue that for both defending against attacks and apprehending the scope of attacks after they are detected, there is great utility in attaining views of network activity that ...
Mark Allman, Christian Kreibich, Vern Paxson, Robi...
Abstract. The optimal allocation of samples for activity-level detection in a wireless body area network for health-monitoring applications is considered. A wireless body area netw...
Gautam Thatte, Viktor Rozgic, Ming Li, Sabyasachi ...