We propose Laplace max-margin Markov networks (LapM3 N), and a general class of Bayesian M3 N (BM3 N) of which the LapM3 N is a special case with sparse structural bias, for robus...
Decentralized activation in wireless sensor networks is investigated for energy-efficient monitoring using the theory of global games. Given a large number of sensors which can ope...
We consider in-network processing via local message passing. The considered setting involves a set of sensors each of which can communicate with a subset of other sensors. There is...
Abstract— Making inferences and choosing appropriate responses based on incomplete, uncertainty and noisy data is challenging in financial settings particularly in bankruptcy de...
As the Internet grows, both the number of rules in packet filtering databases and the number of prefixes in IP lookup tables inside the router are growing. The packet processing e...
Michel Hanna, Socrates Demetriades, Sangyeun Cho, ...