Regularized linear classifiers have been successfully applied in undersampled, i.e. small sample size/high dimensionality biomedical classification problems. Additionally, a desig...
In a public cloud, bandwidth is traditionally priced in a pay-asyou-go model. Reflecting the recent trend of augmenting cloud computing with bandwidth guarantees, we consider a n...
We study the distributed sampling and centralized reconstruction of two correlated signals, modeled as the input and output of an unknown sparse filtering operation. This is akin ...
Ali Hormati, Olivier Roy, Yue M. Lu, Martin Vetter...
Network information distribution is a fundamental service for any anonymization network. Even though anonymization and information distribution about the network are two orthogona...
As the Internet grows at a very rapid pace, so does the incidence of attack events and documented unlawful intrusions. The Network Intrusion Detection Systems (NIDSes) are designe...