— The desire for a high mobility-to-size ratio in mobile robots has led to the exploration of many new methods of locomotion, one of which is tumbling. We believe that tumbling h...
Brett Hemes, Nikolaos Papanikolopoulos, Barry O'Br...
We present a methodology for learning spline-based probabilistic models for sets of contours, proposing a new Monte Carlo variant of the EM algorithm to estimate the parameters of...
A key step in program optimization is the determination of optimal values for code optimization parameters such as cache tile sizes and loop unrolling factors. One approach, which...
Stochastic programming problems appear as mathematical models for optimization problems under stochastic uncertainty. Most computational approaches for solving such models are base...
We propose a model for the World Wide Web graph that couples the topological growth with the traffic's dynamical evolution. The model is based on a simple traffic-driven dynam...
Alain Barrat, Marc Barthelemy, Alessandro Vespigna...