Image Analysis, Random Fields and Markov Chain Monte Carlo Methods - A Mathematical Introduction (Hardcover, 2nd ed. Corr. 3rd printing. 2006)

This second edition of G. Winkler's successful book on random field approaches to image analysis, related Markov Chain Monte Carlo methods, and statistical inference with emphasis on Bayesian image analysis concentrates more on general principles and models and less on details of concrete applications. Addressed to students and scientists from mathematics, statistics, physics, engineering, and computer science, it will serve as an introduction to the mathematical aspects rather than a survey. Basically no prior knowledge of mathematics or statistics is required.The second edition is in many parts completely rewritten and improved, and most figures are new. The topics of exact sampling and global optimization of likelihood functions have been added. This second edition comes with a CD-ROM by F. Friedrich,containing a host of (live) illustrations for each chapter. In an interactive environment, readers can perform their own experiments to consolidate the subject.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Stochastic Modelling and Applied Probability, 27
Release date:	2006
First published:	2006
Authors:	Gerhard Winkler
Dimensions:	235 x 155 x 19mm (L x W x T)
Format:	Hardcover
Pages:	387
Edition:	2nd ed. Corr. 3rd printing. 2006
ISBN-13:	978-3-540-44213-4
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Computing & IT > Applications of computing > Image processing > General Promotions
LSN:	3-540-44213-8
Barcode:	9783540442134

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