image restoration images) → Gibbs Sampler (a computationally tractable representation for MRFs deﬁned over graphs) → Relaxation (computing the best Gibbs)

cool by Laplace → inference and decision come as plugins → works recursively (Kalman, Particle ﬁlters & more, aka sequential estimation) → AI without a GPU: just reﬁne your priors