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

Winkler, Gerhard

9783642975240: Image Analysis, Random Fields and Dynamic Monte Carlo Methods: A Mathematical Introduction

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ISBN 10 : 3642975240 ISBN 13 : 9783642975240

Editeur : Springer, 2012

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The text presents Bayesian image analysis and dynamic Monte Carlo algorithms from the mathematical point of view. The subject is introduced at a moderate pace and the proofs are thorough. Specific models are developed step by step and discussed.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Springer
Date d'�dition: 2012
Langue: anglais
ISBN 10: 3642975240
ISBN 13: 9783642975240
Reliure: Broch�
Nombre de pages: 340
Coordonn�es du fabricant: Springer Nature Customer Service Center GmbH
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Image Analysis, Random Fields and Dynamic Monte Carlo Methods: A Mathematical Introduction (Stochastic Modelling and Applied Probability)

Winkler, Gerhard

Edit� par Springer, 2012

ISBN 10 : 3642975240 ISBN 13 : 9783642975240

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

Winkler, Gerhard

Edit� par Springer, 2012

ISBN 10 : 3642975240 ISBN 13 : 9783642975240

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Image Analysis, Random Fields and Dynamic Monte Carlo Methods (Paperback)

Gerhard Winkler

Edit� par Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2012

ISBN 10 : 3642975240 ISBN 13 : 9783642975240

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Paperback. Etat : new. Paperback. This text is concerned with a probabilistic approach to image analysis as initiated by U. GRENANDER, D. and S. GEMAN, B.R. HUNT and many others, and developed and popularized by D. and S. GEMAN in a paper from 1984. It formally adopts the Bayesian paradigm and therefore is referred to as 'Bayesian Image Analysis'. There has been considerable and still growing interest in prior models and, in particular, in discrete Markov random field methods. Whereas image analysis is replete with ad hoc techniques, Bayesian image analysis provides a general framework encompassing various problems from imaging. Among those are such 'classical' applications like restoration, edge detection, texture discrimination, motion analysis and tomographic reconstruction. The subject is rapidly developing and in the near future is likely to deal with high-level applications like object recognition. Fascinating experiments by Y. CHOW, U. GRENANDER and D.M. KEENAN (1987), (1990) strongly support this belief. This text is concerned with a probabilistic approach to image analysis as initiated by U. It formally adopts the Bayesian paradigm and therefore is referred to as 'Bayesian Image Analysis'. Whereas image analysis is replete with ad hoc techniques, Bayesian image analysis provides a general framework encompassing various problems from imaging. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N� de r�f. du vendeur 9783642975240

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Image Analysis, Random Fields and Dynamic Monte Carlo Methods: A Mathematical Introduction (Paperback or Softback)

Winkler, Gerhard

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Image Analysis, Random Fields and Dynamic Monte Carlo Methods: A Mathematical Introduction (Stochastic Modelling and Applied Probability)

Winkler, Gerhard

Edit� par Springer, 2012

ISBN 10 : 3642975240 ISBN 13 : 9783642975240

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

Winkler, Gerhard

Edit� par Springer, 2012

ISBN 10 : 3642975240 ISBN 13 : 9783642975240

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Image Analysis, Random Fields and Dynamic Monte Carlo Methods: A Mathematical Introduction (Stochastic Modelling and Applied Probability)

Winkler, Gerhard

Edit� par Springer, 2012

ISBN 10 : 3642975240 ISBN 13 : 9783642975240

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Image Analysis, Random Fields and Dynamic Monte Carlo Methods: A Mathematical Introduction (Stochastic Modelling and Applied Probability)

Gerhard Winkler

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ISBN 10 : 3642975240 ISBN 13 : 9783642975240

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Image Analysis, Random Fields and Dynamic Monte Carlo Methods

Gerhard Winkler

Edit� par Springer Berlin Heidelberg Jan 2012, 2012

ISBN 10 : 3642975240 ISBN 13 : 9783642975240

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This text is concerned with a probabilistic approach to image analysis as initiated by U. GRENANDER, D. and S. GEMAN, B.R. HUNT and many others, and developed and popularized by D. and S. GEMAN in a paper from 1984. It formally adopts the Bayesian paradigm and therefore is referred to as 'Bayesian Image Analysis'. There has been considerable and still growing interest in prior models and, in particular, in discrete Markov random field methods. Whereas image analysis is replete with ad hoc techniques, Bayesian image analysis provides a general framework encompassing various problems from imaging. Among those are such 'classical' applications like restoration, edge detection, texture discrimination, motion analysis and tomographic reconstruction. The subject is rapidly developing and in the near future is likely to deal with high-level applications like object recognition. Fascinating experiments by Y. CHOW, U. GRENANDER and D.M. KEENAN (1987), (1990) strongly support this belief. 340 pp. Englisch. N� de r�f. du vendeur 9783642975240

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

Winkler, Gerhard

Edit� par Springer, 2012

ISBN 10 : 3642975240 ISBN 13 : 9783642975240

Neuf Couverture souple

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