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Image Analysis, Random Fields and Markov Chain Monte Carlo Methods: A Mathematical Introduction (Stochastic Modelling and Applied Probability) - Softcover
Synopsis
"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
"synopsis" may belong to another edition of this title.
From the Back Cover
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 elemenatry: 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 but not absolutely necessary. The necessary background from imaging is sketched and illustrated by a number of concrete applications like restoration, texture segmentation and motion analysis.
About the Author
From the reviews:
"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 in this approach. '¦ 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 and an abundant bibliography pointing to more detailed related work." (Pham Dinh Tuan, Mathematical Reviews, 2004 c)
"Based on the Baysian approach the author focuses on the principles of classical image analysis rather than on applications and implementations. Little mathematical knowledge is needed to read the book, thus it is well suited for lectures on image analysis." (Ch. Cenker, Monatshefte für Mathematik, Vol. 146 (4), 2005)
"About this title" may belong to another edition of this title.
- PublisherSpringer
- Publication date2012
- ISBN 10 3642629113
- ISBN 13 9783642629112
- BindingPaperback
- LanguageEnglish
- Number of pages403
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International Edition
Image Analysis, Random Fields and Markov Chain Monte Carlo Methods: A Mathematical Introduction, 2nd
Published by
Springer-Verlag Berlin and Heidelberg GmbH & Co. K, Berlin, 2012
ISBN 10: 3642629113
ISBN 13: 9783642629112
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Trade paperback. Condition: New in new dust jacket. 2nd ed. 2003. INTERNATIONAL EDITION. ***INTERNATIONAL EDITION*** Read carefully before purchase: This book is the international edition in mint condition with the different ISBN and book cover design, the major content is printed in full English as same as the original North American edition. The book printed in black and white, generally send in twenty-four hours after the order confirmed. All shipments contain tracking numbers. Great professional textbook selling experience and expedite shipping service. Trade paperback (US). 403 p. Stochastic Modelling and Applied Probability., 27. Audience: Professional and scholarly. Seller Inventory # K1890001072
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Image Analysis, Random Fields and Markov Chain Monte Carlo Methods: A Mathematical Introduction (Stochastic Modelling and Applied Probability), 2nd edition
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Soft cover. Condition: New. Dust Jacket Condition: New. 2nd Edition. **INTERNATIONAL EDITION** Read carefully before purchase: This book is the international edition in mint condition with the different ISBN and book cover design, the major content is printed in full English as same as the original North American edition. The book printed in black and white, generally send in twenty-four hours after the order confirmed. All shipments go through via USPS/UPS/DHL with tracking numbers. Great professional textbook selling experience and expedite shipping service. Seller Inventory # ABE-1469360309543
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Image Analysis, Random Fields and Markov Chain Monte Carlo Methods: A Mathematical Introduction (Stochastic Modelling and Applied Probability)
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Image Analysis, Random Fields and Markov Chain Monte Carlo Methods : A Mathematical Introduction
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Image Analysis, Random Fields and Markov Chain Monte Carlo Methods: A Mathematical Introduction (Stochastic Modelling and Applied Probability)
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Image Analysis, Random Fields and Markov Chain Monte Carlo Methods
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Springer Berlin Heidelberg Sep 2012, 2012
ISBN 10: 3642629113
ISBN 13: 9783642629112
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -'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 404 pp. Englisch. Seller Inventory # 9783642629112
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Image Analysis, Random Fields and Markov Chain Monte Carlo Methods : A Mathematical Introduction
Published by
Springer Berlin Heidelberg, 2012
ISBN 10: 3642629113
ISBN 13: 9783642629112
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Taschenbuch
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9783642629112
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Image Analysis, Random Fields and Markov Chain Monte Carlo Methods
Published by
Springer Berlin Heidelberg, 2012
ISBN 10: 3642629113
ISBN 13: 9783642629112
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 backgr. Seller Inventory # 5065267
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Image Analysis, Random Fields and Markov Chain Monte Carlo Methods: A Mathematical Introduction (Stochastic Modelling and Applied Probability, 27)
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