We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...
—Distributed sensor data storage and retrieval has gained increasing popularity in recent years for supporting various applications. While distributed architecture enjoys a more ...
A cross-layered slotted ALOHA protocol is proposed and analyzed for distributed estimation in sensor networks. Suppose that the sensors in the network record local measurements of ...
Abstract. We propose a distributed coalition formation strategy for collaborative sensing tasks in camera sensor networks. The proposed model supports taskdependent node selection ...
Today's networking community is becoming increasingly skeptical of the significance of research results founded wholly upon experimental results conducted in simulation. Now, ...
Jeffrey Considine, John W. Byers, Ketan Meyer-Pate...