Image Analysis, Random Fields and Dynamic Monte Carlo Methods / Stochastic Modelling and Applied Probability Bd.27 (PDF)
A Mathematical Introduction
(Sprache: Englisch)
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...
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Produktinformationen zu „Image Analysis, Random Fields and Dynamic Monte Carlo Methods / Stochastic Modelling and Applied Probability Bd.27 (PDF)“
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.
Bibliographische Angaben
- Autor: Gerhard Winkler
- 2012, 1995, 324 Seiten, Englisch
- Verlag: Springer Berlin Heidelberg
- ISBN-10: 3642975224
- ISBN-13: 9783642975226
- Erscheinungsdatum: 06.12.2012
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Dateiformat: PDF
- Grösse: 37 MB
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Englisch
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