Learning the underlying model from distributed data is often useful for many distributed systems. In this paper, we study the problem of learning a non-parametric model from distr...
Abstract—Passive network monitoring that observes user traffic has many advantages over active monitoring that uses test packets. It can provide characteristics of real user tra...
Desktop grids have traditionally focused on executing computation intensive workloads. Can they also be used to execute data-intensive workloads? To answer this question, we prese...
Christopher Moretti, Timothy C. Faltemier, Douglas...
Image model plays a critical role in recovering diagnosis-relevant information from noisy observation data. Unlike conventional denoising techniques based on local models, a patch...
A repository of task structures can reveal important latent knowledge about the development of a software system. Although approaches have been proposed to recover artifacts withi...