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Image Analysis, Random Fields and Dynamic Monte Carlo Methods: A Mathematical Introduction

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Image Analysis, Random Fields and Dynamic Monte Carlo Methods: A Mathematical Introduction - Winkler, Gerhard, Dr.
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The book is mainly concerned with the mathematical foundations of Bayesian image analysis and its algorithms. This amounts to the study of Markov random fields and dynamic Monte Carlo algorithms like sampling, simulated annealing and stochastic gradient algorithms. The approach is introductory and elementary: given basic concepts from linear algebra and real analysis it is self-contained. No previous knowledge from image analysis is required. Knowledge of elementary probability theory and statistics is certainly beneficial ...

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Image Analysis, Random Fields and Dynamic Monte Carlo Methods: A Mathematical Introduction 2012, Springer, Berlin, Heidelberg

ISBN-13: 9783642975240

Trade paperback

Image Analysis, Random Fields and Dynamic Monte Carlo Methods: A Mathematical Introduction 1994, Springer, Berlin, Germany

ISBN-13: 9783540570691

1995 edition

Hardcover