 It introduces a Bayesian paradigm using Markov Random Fields for the analysis of images.This approach has been highly influential over the last 20 years and remains a rare tour de force in this rapidly evolving field.In another milestone paper, in collaboration with Y. Amit, he introduced the notion for randomized decision trees, which have been called random forests and popularized by Leo Breiman.