Combinatorial maps are nice data structures for modeling the topology of nD objects subdivided in cells (e.g., vertices, edges, faces, volumes, ...) by means of incidence and adjac...
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
In genetic programming, the reproductive operators of crossover and mutation both require the selection of nodes from the reproducing individuals. Both unbiased random selection a...
The problem of protecting user's privacy in Location-Based Services (LBS) has been extensively studied recently and several defense techniques have been proposed. In this cont...
Claudio Bettini, Sergio Mascetti, Xiaoyang Sean Wa...
Traditional approaches to secure computation begin by representing the function f being computed as a circuit. For any function f that depends on each of its inputs, this implies ...
S. Dov Gordon, Jonathan Katz, Vladimir Kolesnikov,...