Image Analysis, Random Fields and Markov Chain Monte Carlo Methods
نام عام مواد
[Book]
ساير اطلاعات عنواني
A Mathematical Introduction /
نام نخستين پديدآور
by Gerhard Winkler.
وضعیت ویراست
وضعيت ويراست
Second Edition.
وضعیت نشر و پخش و غیره
محل نشرو پخش و غیره
Berlin, Heidelberg :
نام ناشر، پخش کننده و غيره
Imprint: Springer,
تاریخ نشرو بخش و غیره
2003.
فروست
عنوان فروست
Applications of Mathematics, Stochastic Modelling and Applied Probability,
مشخصه جلد
27
شاپا ي ISSN فروست
0172-4568 ;
یادداشتهای مربوط به مندرجات
متن يادداشت
I. Bayesian Image Analysis: Introduction -- 1. The Bayesian Paradigm -- 2. Cleaning Dirty Pictures -- 3. Finite Random Fields -- II. The Gibbs Sampler and Simulated Annealing -- 4. Markov Chains: Limit Theorems -- 5. Gibbsian Sampling and Annealing -- 6. Cooling Schedules -- III. Variations of the Gibbs Sampler -- 7. Gibbsian Sampling and Annealing Revisited -- 8. Partially Parallel Algorithms -- 9. Synchronous Algorithms -- IV. Metropolis Algorithms and Spectral Methods -- 10. Metropolis Algorithms -- 11. The Spectral Gap and Convergence of Markov Chains -- 12. Eigenvalues, Sampling, Variance Reduction -- 13. Continuous Time Processes -- V. Texture Analysis -- 14. Partitioning -- 15. Random Fields and Texture Models -- 16. Bayesian Texture Classification -- VI. Parameter Estimation -- 17. Maximum Likelihood Estimation -- 18. Consistency of Spatial ML Estimators -- 19. Computation of Full ML Estimators -- VII. Supplement -- 20. A Glance at Neural Networks -- 21. Three Applications -- VIII. Appendix -- A. Simulation of Random Variables -- A.1 Pseudorandom Numbers -- A.2 Discrete Random Variables -- A.3 Special Distributions -- B. Analytical Tools -- B.1 Concave Functions -- B.2 Convergence of Descent Algorithms -- B.3 A Discrete Gronwall Lemma -- B.4 A Gradient System -- C. Physical Imaging Systems -- D. The Software Package AntslnFields -- References -- Symbols.
بدون عنوان
0
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
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.
ویراست دیگر از اثر در قالب دیگر رسانه
شماره استاندارد بين المللي کتاب و موسيقي
9783642629112
قطعه
عنوان
Springer eBooks
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Computer simulation.
موضوع مستند نشده
Computer vision.
موضوع مستند نشده
Distribution (Probability theory).
موضوع مستند نشده
Mathematics.
موضوع مستند نشده
Medical radiology.
موضوع مستند نشده
Numerical analysis.
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )