Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Abstract. Interval temporal logics formalize reasoning about interval structures over (usually) linearly ordered domains, where time intervals are the primitive ontological entitie...
Davide Bresolin, Dario Della Monica, Valentin Gora...
Abstract: In this paper we present and discuss a new approach for securing multimedia communication, which is based on three innovations. The first innovation is the integration of...
Helmut Hlavacs, Wilfried N. Gansterer, Hannes Scha...
Abstract. Lattice reduction is known to be a very powerful tool in modern cryptanalysis. In the literature, there are many lattice reduction algorithms that have been proposed with...
Abstract-- We present COLR-Tree, an abstraction layer designed to support efficient spatio-temporal queries on live data gathered from a large collection of sensors. We use COLR-Tr...