Overlay networks have emerged as a powerful paradigm to realise a large range of distributed services. However, as the number of overlays grows and the systems that use them become...
As scientific research becomes more data intensive, there is an increasing need for scalable, reliable, and high performance storage systems. Such data repositories must provide b...
Hoang Bui, Peter Bui, Patrick J. Flynn, Douglas Th...
Abstract. Learning algorithms relying on Gibbs sampling based stochastic approximations of the log-likelihood gradient have become a common way to train Restricted Boltzmann Machin...
With the growing number of acquired physiological and behavioral biometric samples, biometric data sets are experiencing tremendous growth. As database sizes increase, exhaustive ...
Protecting confidentiality of data has become increasingly important for computing systems. Information-flow techniques have been developed over the years to achieve that purpos...