Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
AOMP (Ad-hoc Overlay Multicast Protocol) is a novel approach for application-layer multicast in ad-hoc networks. We introduce in this paper a new algorithm that exploits a few prop...
Abstract. Car development is based on long running, concurrently executed and highly dependent processes. The coordination and synchronization of these processes has become a compl...
Solving the tracking of an articulated structure in a reasonable time is a complex task mainly due to the high dimensionality of the problem. A new optimization method, called Sto...
Matthieu Bray, Esther Koller-Meier, Luc J. Van Goo...
The processing of k-NN queries has been studied extensively both in a centralized computing environment and in a structured P2P environment. However, the problem over an unstructur...
Bin Wang, Xiaochun Yang, Guoren Wang, Lei Chen 000...