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Image Analysis, Random Fields and Markov Chain Monte Carlo Methods / A Mathematical Introduction, Winkler Gerhard



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Цена: 11494р.
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Автор: Winkler Gerhard
Название:  Image Analysis, Random Fields and Markov Chain Monte Carlo Methods / A Mathematical Introduction
Издательство: Springer
Классификация:
Медицинская радиология
Численный анализ
Вероятность и статистика
Прикладная математика
Обработка изображения
Компьютерное моделирование

ISBN: 3540442138
ISBN-13(EAN): 9783540442134
ISBN: 3-540-44213-8
ISBN-13(EAN): 978-3-540-44213-4
Обложка/Формат: Mixed media product
Страницы: 403
Вес: 0.742 кг.
Дата издания: 01.04.2004
Серия: Stochastic Modelling and Applied Probability
Язык: English
Издание: 2nd ed. corr. 3rd pr
Иллюстрации: 59 black & white illustrations, 59 black & white h
Размер: 242 x 163 x 19
Читательская аудитория: Postgraduate, research & scholarly
Подзаголовок: A mathematical introduction
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This second edition of G. Winklers 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. This second edition comes with a CD-ROM by F. Friedrich,containing a host of (live) illustrations for each chapter. In an interactive environment, readers can perform their own experiments to consolidate the subject.
Дополнительное описание: Формат: 235x155
Илюстрации: 59
Круг читателей: Researchers and graduate students
Ключевые слова: Bayesian statistics
Markov chain Monte Carlo methods
random fields
spatial modeling
statistical image analysis
Язык: eng
Издание: 2nd ed. Corr. 3rd printin
Оглавление: 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.





An Introduction to Markov Processes

Автор: Stroock Daniel W.
Название: An Introduction to Markov Processes
ISBN: 3540234519 ISBN-13(EAN): 9783540234517
Издательство: Springer
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Цена: 6269 р.
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Описание: This book provides a rigorous but elementary introduction to the theory of Markov Processes on a countable state space. It should be accessible to students with a solid undergraduate background in mathematics, including students from engineering, economics, physics, and biology. Topics covered are: Doeblin's theory, general ergodic properties, and continuous time processes. A whole chapter is devoted to reversible processes and the use of their associated Dirichlet forms to estimate the rate of convergence to equilibrium.

An Introduction to Markov Processes

Автор: Stroock Daniel W.
Название: An Introduction to Markov Processes
ISBN: 3540234993 ISBN-13(EAN): 9783540234999
Издательство: Springer
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Цена: 7310 р.
Наличие на складе: Поставка под заказ.

Описание: This book provides a rigorous but elementary introduction to the theory of Markov Processes on a countable state space. It should be accessible to students with a solid undergraduate background in mathematics, including students from engineering, economics, physics, and biology. Topics covered are: Doeblin's theory, general ergodic properties, and continuous time processes. A whole chapter is devoted to reversible processes and the use of their associated Dirichlet forms to estimate the rate of convergence to equilibrium.

Handbook of Markov Decision Processes / Methods and Applications

Автор: Feinberg Eugene A., Shwartz Adam
Название: Handbook of Markov Decision Processes / Methods and Applications
ISBN: 0792374592 ISBN-13(EAN): 9780792374596
Издательство: Springer
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Цена: 31246 р.
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Описание: The theory of Markov Decision Processes - also known under several other names including sequential stochastic optimization, discrete-time stochastic control, and stochastic dynamic programming - studies sequential optimization of discrete time stochastic systems. Fundamentally, this is a methodology that examines and analyzes a discrete-time stochastic system whose transition mechanism can be controlled over time. Each control policy defines the stochastic process and values of objective functions associated with this process. Its objective is to select a "good" control policy. In real life, decisions that humans and computers make on all levels usually have two types of impacts: (i) they cost or save time, money, or other resources, or they bring revenues, as well as (ii) they have an impact on the future, by influencing the dynamics. In many situations, decisions with the largest immediate profit may not be good in view of future events. Markov Decision Processes (MDPs) model this paradigm and provide results on the structure and existence of good policies and on methods for their calculations. MDPs are attractive to many researchers because they are important both from the practical and the intellectual points of view. MDPs provide tools for the solution of important real-life problems. In particular, many business and engineering applications use MDP models. Analysis of various problems arising in MDPs leads to a large variety of interesting mathematical and computational problems. Accordingly, the Handbook of Markov Decision Processes is split into three parts: Part I deals with models with finite state and action spaces and Part II deals with infinite state problems, and Part III examines specific applications. Individual chapters are written by leading experts on the subject.

Distribution theory of runs and patterns and its applications: a finite markov chain imbedding approach

Название: Distribution theory of runs and patterns and its applications: a finite markov chain imbedding approach
ISBN: 9810245874 ISBN-13(EAN): 9789810245870
Издательство: World Scientific Publishing
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Цена: 9088 р.
Наличие на складе: Невозможна поставка.

Описание: A rigorous, comprehensive introduction to the finite Markov chain imbedding technique for studying the distributions of runs and patterns from a unified and intuitive viewpoint, away from the lines of traditional combinatorics. The central theme of this approach is to properly imbed the random variables of interest into the framework of a finite Markov chain, and the resulting representations of the underlying distributions are compact and very amenable to further study of associated properties. The concept of finite Markov chain imbedding is systematically developed, and its utility is illustrated through practical applications to a variety of fields, including the reliability of engineering systems, hypothesis testing, quality control, and continuity measurement in the health care sector.

Mathematical Analysis and Numerical Methods for Science and Technology

Автор: Dautray
Название: Mathematical Analysis and Numerical Methods for Science and Technology
ISBN: 3540660976 ISBN-13(EAN): 9783540660972
Издательство: Springer
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Цена: 8355 р.
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Описание: The advent of high-speed computers has made it possible to calculate values from models accurately and rapidly. This title compiles the mathematical knowledge required by researchers in mechanics, engineering, chemistry and other branches of application of mathematics for the theoretical and numerical resolution of physical models on computers.

Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis / ECCV 2004 Workshops CVAMIA and MMBIA Prague, Czech Republic, May 15, 2004, Revised Selected Papers

Автор: Sonka Milan, Kakadiaris Ioannis A., Kybic Jan
Название: Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis / ECCV 2004 Workshops CVAMIA and MMBIA Prague, Czech Republic, May 15, 2004, Revised Selected Papers
ISBN: 3540226753 ISBN-13(EAN): 9783540226758
Издательство: Springer
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Цена: 9926 р.
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Описание: This book constitutes the thoroughly refereed joint post proceedings of the international workshop Computer Vision Approaches to Medical Image Analysis, CVAMIA 2004, and Mathematical Methods in Biomedical Image Analysis, MMBIA 2004, both held in Prague, Czech Republic, in May 2004 as part of EECV 2004.The 37 revised full papers presented were carefully selected and improved during two rounds of reviewing and revision. The papers are organized in topical sections on image acquision techniques, image reconstruction, mathematical methods, medical image segmentation, image registration, and applications.

Mathematical methods in time series analysis and digital image processing

Автор: Dahlhaus
Название: Mathematical methods in time series analysis and digital image processing
ISBN: 3540756310 ISBN-13(EAN): 9783540756316
Издательство: Springer
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Цена: 12539 р.
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Описание: Intends to bring together research directions in theoretical signal and imaging processing developed rather independently in electrical engineering, theoretical physics, mathematics and the computer sciences. This book summarizes work carried out in the field of theoretical signal and image processing.

Introduction to Mathematical Methods in Bioinformatics

Автор: Isaev Alexander
Название: Introduction to Mathematical Methods in Bioinformatics
ISBN: 3540219730 ISBN-13(EAN): 9783540219736
Издательство: Springer
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Цена: 5220 р.
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Описание: This book looks at the mathematical foundations of the models currently in use. This is crucial for the correct interpretation of the outputs of the models. A bioinformatician should be able not only to use software packages, but also to know the mathematics behind these packages. From this point of view, mathematics departments throughout the world have a major role to play in bioinformatics education by teaching courses on the mathematical foundations of the subject. Based on the courses taught by the author the book combines several topics in biological sequence analysis with mathematical and statistical material required for such analysis.

Mathematical and Statistical Methods for Genetic Analysis

Автор: Lange Kenneth
Название: Mathematical and Statistical Methods for Genetic Analysis
ISBN: 0387953892 ISBN-13(EAN): 9780387953892
Издательство: Springer
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Цена: 10742 р.
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Описание: Equips graduate students in the mathematical sciences to understand and model the epidemiological and experimental data encountered in genetics research. This book serves as a graduate text and a reference book.

Frontiers in mathematical analysis and numerical methods: in memory of jacques-louis lions

Название: Frontiers in mathematical analysis and numerical methods: in memory of jacques-louis lions
ISBN: 9812389415 ISBN-13(EAN): 9789812389411
Издательство: World Scientific Publishing
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Цена: 7477 р.
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Описание: This invaluable volume is a collection of articles in memory of Jacques-Louis Lions, a leading mathematician and the founder of the contemporary French Applied Mathematics School. The contributions have been written by his friends, colleagues and students, including C Bardos, A Bensoussan, S S Chern, P G Ciarlet, R Glowinski, Gu Chaohao, B Malgrange, G Marchuk, O Pironneau, W Strauss, R Temam, etc. The book concerns many important results in analysis, geometry, numerical methods, fluid mechanics, control theory, etc.

Mathematical Methods for Protein Structure Analysis and Design / Advanced Lectures

Автор: Guerra Concettina, Istrail Sorin
Название: Mathematical Methods for Protein Structure Analysis and Design / Advanced Lectures
ISBN: 3540401040 ISBN-13(EAN): 9783540401049
Издательство: Springer
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Цена: 7314 р.
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Описание: The revised lectures presented in this volume are based on a course given by leading scholars at the C.I.M.E. Summer School held in Martina Franca, Italy, in July 2000.The 11 revised chapters presented were carefully revised and cross-reviewed in order to provide competent coverage of mathematical methods for protein structure analysis and design. The topics addressed pinpoint major issues arising in the development and analysis of models, algorithms, and software tools devoted to the structure of proteins, all of which play crucial roles in structural genomics and proteomics.

Discrete-Time Markov Chains / Two-Time-Scale Methods and Applications

Автор: Yin G.George, Zhang Qing
Название: Discrete-Time Markov Chains / Two-Time-Scale Methods and Applications
ISBN: 038721948X ISBN-13(EAN): 9780387219486
Издательство: Springer
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Цена: 8355 р.
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Описание: This book focuses on the theory and applications of discrete-time two-time-scale Markov chains. Much effort in this book is devoted to designing system models arising from these applications, analyzing them via analytic and probabilistic techniques, and developing feasible computational algorithms so as to reduce the inherent complexity. This book presents results including asymptotic expansions of probability vectors, structural properties of occupation measures, exponential bounds, aggregation and decomposition and associated limit processes, and interface of discrete-time and continuous-time systems. One of the salient features is that it contains a diverse range of applications on filtering, estimation, control, optimization, and Markov decision processes, and financial engineering. This book will be an important reference for researchers in the areas of applied probability, control theory, operations research, as well as for practitioners who use optimization techniques. Part of the book can also be used in a graduate course of applied probability, stochastic processes, and applications.


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