The links between genetic algorithms and population-based Markov Chain Monte Carlo (MCMC) methods are explored. Genetic algorithms (GAs) are well-known for their capability to opt...
In this paper, we develop a neurobiologicallymotivated statistical method for video analysis that simultaneously searches the combined motion and form space in a concerted and efï...
We present a formal analysis technique for probabilistic security properties of peer-to-peer communication systems based on random message routing among members. The behavior of g...
:We formulate structure from motion as a Bayesian inference problem, and use a Markov chain Monte Carlo sampler to sample the posterior on this problem. This results in a method th...
We present in this paper a new approach for the automatic verification and performance analysis of SysML activity diagrams. Since timeliness is important in the design and analysi...
Yosr Jarraya, Andrei Soeanu, Mourad Debbabi, Fawzi...