Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
— We design network topologies and routing strategies which optimize several measures simultaneously: low cost, small routing diameter , bounded degree and low congestion. This s...
Abstract—We consider the distributed estimation of an unknown vector signal in a resource constrained sensor network with a fusion center. Due to power and bandwidth limitations,...
Jinjun Xiao, Shuguang Cui, Zhi-Quan Luo, Andrea J....
We consider the problem of constructing logical topologies over a wavelength-routed optical network with no wavelength changers. We present a general linear formulation which consi...
As the level of chip integration continues to advance at a fast pace, the desire for efficient interconnects-whether on-chip or off-chip--is rapidly increasing. Traditional interc...