Image Analysis, Random Fields and Markov Chain Monte Carlo Methods: A Mathematical Introduction, Edition 2

· Stochastic Modelling and Applied Probability Book 27 · Springer Science & Business Media
Ebook
387
Pages
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"This book is concerned with a probabilistic approach for image analysis, mostly from the Bayesian point of view, and the important Markov chain Monte Carlo methods commonly used....This book will be useful, especially to researchers with a strong background in probability and an interest in image analysis. The author has presented the theory with rigor...he doesn’t neglect applications, providing numerous examples of applications to illustrate the theory." -- MATHEMATICAL REVIEWS

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