Compiling Bayesian networks has proven an effective approach for inference that can utilize both global and local network structure. In this paper, we define a new method of comp...
We describe a novel Geometric Localized Routing (GLR) protocol in Disruption (Delay) Tolerant Network (DTN). Although DTNs do not guarantee the connectivity of the network all the...
Abstract--This paper develops an optimal decentralized algorithm for sparse signal recovery and demonstrates its application in monitoring localized phenomena using energy-constrai...
In ad hoc wireless networks, a successful broadcasting requires that the nodes forwarding the broadcast packet form a connected dominating set to ensure the coverage. An efficien...
This work studies the problem of distributed classification in peer-to-peer (P2P) networks. While there has been a significant amount of work in distributed classification, most o...