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This title in other editions

Stochastic Modelling and Applied Probability #27: Image Analysis, Random Fields and Markov Chain Monte Carlo Methods: A Mathematical Introduction

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Stochastic Modelling and Applied Probability #27: Image Analysis, Random Fields and Markov Chain Monte Carlo Methods: A Mathematical Introduction Cover

 

Synopses & Reviews

Publisher Comments:

"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

Table of Contents

I.Bayesian Image Analysis.- Introduction.- The Bayesian Paradigm.- Cleaning Dirty Pictures.- Random Fields.- II. The Gibbs Sampler and Simulated Annealing.- Markov Chains: Limit Theorems.- Gibbsian Sampling and Annealing.- Cooling Schedules.- Gibbsian Sampling and Annealing Revisited.- III. More on Sampling and Annealing.- Metropolis Algorithms.- Eigenvalues and Related Topics.- Parallel Algorithms.- IV. Texture Analysis.- Partitioning.- Random Fields and Texture Models.- Bayesian Texture Classification.- V. Parameter Estimation.- Maximum Likelihood Estimation.- Consistency of Spatial ML .- Computation of full ML Estimators.- VI. Supplement.- A Glance at Neural Networks.- Three Applications.- VII. Appendix.- A Simulation of Random Variables.-B Analytical Tools.- C Physical Imaging Systems.

Product Details

ISBN:
9783642629112
Author:
Winkler, Gerhard
Publisher:
Springer
Location:
Berlin, Heidelberg
Subject:
Computers-Reference - General
Subject:
Statistics
Subject:
Bayesian statistics
Subject:
Markov Chain Monte Carlo Methods
Subject:
Random fields
Subject:
spatial modeling
Subject:
statistical image analysis
Subject:
Probability Theory and Stochastic Processes
Subject:
Numerical analysis
Subject:
Simulation and Modeling
Subject:
Imaging / Radiology
Subject:
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
Subject:
Image Processing and Computer Vision
Subject:
Mathematics
Subject:
Language, literature and biography
Subject:
mathematics and statistics
Subject:
Distribution (Probability theory)
Subject:
Computer simulation
Subject:
Radiology, medical
Subject:
Computer Vision
Copyright:
Edition Description:
2nd ed. 2003
Series:
Stochastic Modelling and Applied Probability
Series Volume:
27
Publication Date:
20121231
Binding:
TRADE PAPER
Language:
English
Pages:
403
Dimensions:
235 x 155 mm 608 gr

Related Subjects

Business » General
Business » Management
Business » Writing
Computers and Internet » Computers Reference » General
Computers and Internet » Software Engineering » General
Science and Mathematics » Mathematics » Probability and Statistics » General
Science and Mathematics » Mathematics » Probability and Statistics » Statistics

Stochastic Modelling and Applied Probability #27: Image Analysis, Random Fields and Markov Chain Monte Carlo Methods: A Mathematical Introduction New Trade Paper
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Product details 403 pages Springer - English 9783642629112 Reviews:
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