Gaussian Process prior models, as used in Bayesian non-parametric statistical models methodology are applied to implement a nonlinear adaptive control law. The expected value of a...
In this technical report, we present a process algebra aimed at modelling PKI-based systems. The new language, SPIKY, extends the spi-calculus by adding primitives for the retriev...
We present an emotion recognition system based on a probabilistic approach to adaptive processing of Facial Emotion Tree Structures (FETS). FETS are made up of localized Gabor fea...
In this paper we study monotonicity results for optimal policies of various queueing and resource sharing models. The standard approach is to propagate, for each specific model, ...
The development of solutions to complex problems requires finding answers to several questions which are obstacles on the road leading to the solution. To perpetuate progress, the...