Recently proposed l1-regularized maximum-likelihood optimization methods for learning sparse Markov networks result into convex problems that can be solved optimally and efficien...
This paper presents a novel broadband multimedia service called TV-Anytime. The basic idea of this service is to store broadcast media assets onto media server systems and allow c...
About fifteen years of e-government research (EGR) lead to a research field that is looking forward to define an identity as a proper and autonomous scientific discipline. This pap...
Recommendation systems generally produce the results of their output to their users in the form of an ordinal list. In the interest of simplicity, these lists are often obscure, ,...
Abstract. In-network processing emerges as an approach to reduce energy consumption in Wireless Sensor Networks (WSN) by decreasing the overall transferred data volume. Parallel pr...