We propose a new semantics for modeling belief, mixing conncepts from qualitative probabilistic and classical possible world accounts. Our belief structures are coherent sets of q...
Detecting moving objects using stationary cameras is an important precursor to many activity recognition, object recognition and tracking algorithms. In this paper, three innovati...
This paper provides a QoS analysis of a dynamic, ubiquitous UMTS network scenario in the automotive context identified in the ongoing EC HIDENETS project. The scenario comprises d...
Andrea Bondavalli, Paolo Lollini, Leonardo Montecc...
We bound the future loss when predicting any (computably) stochastic sequence online. Solomonoff finitely bounded the total deviation of his universal predictor M from the true d...
This paper addresses the following question: how should we update our beliefs after observing some incomplete data, in order to make credible predictions about new, and possibly i...