We present a methodology for a sensor network to answer queries with limited and stochastic information using probabilistic techniques. This capability is useful in that it allows...
Problem of segmenting individual humans in crowded situations from stationary video camera sequences is exacerbated by object inter-occlusion. We pose this problem as a “model-b...
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...