We address the problem of learning structure in nonlinear Markov networks with continuous variables. This can be viewed as non-Gaussian multidimensional density estimation exploit...
Using quantitative models of simple mechanisms as an example domain, we show how the basic principles of consistency-based diagnosis can be implemented using description logics wi...
This paper presents an assessment of the communication overheads of IPsec and evaluates the feasibility of deploying it on handheld devices for the UMTS architecture. A wide range...
Christos Xenakis, Nikolaos Laoutaris, Lazaros F. M...
A Bayesian marked point process (MPP) model is developed
to detect and count people in crowded scenes. The
model couples a spatial stochastic process governing number
and placem...
Software Transactional Memories (STMs) are emerging as a highly attractive programming model, thanks to their ability to mask concurrency management issues to the overlying applic...
Roberto Palmieri, Francesco Quaglia, Paolo Romano,...