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Stochastic Models, Statistical Methods, and Algorithms in Image Analysis

Stochastic Models, Statistical Methods, and Algorithms in Image Analysis
Author: Piero Barone
Publisher: Springer Science & Business Media
Total Pages: 266
Release: 2012-12-06
Genre: Mathematics
ISBN: 1461229200
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Download Stochastic Models, Statistical Methods, and Algorithms in Image Analysis Book in PDF, ePub and Kindle

This volume comprises a collection of papers by world- renowned experts on image analysis. The papers range from survey articles to research papers, and from theoretical topics such as simulated annealing through to applied image reconstruction. It covers applications as diverse as biomedicine, astronomy, and geophysics. As a result, any researcher working on image analysis will find this book provides an up-to-date overview of the field and in addition, the extensive bibliographies will make this a useful reference.

Stochastic Models, Statistical Methods, and Algorithms in Image Analysis

Stochastic Models, Statistical Methods, and Algorithms in Image Analysis
Author: Piero Barone
Publisher: Springer
Total Pages: 258
Release: 1992-06-24
Genre: Mathematics
ISBN: 9780387978109
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Download Stochastic Models, Statistical Methods, and Algorithms in Image Analysis Book in PDF, ePub and Kindle

This volume comprises a collection of papers by world- renowned experts on image analysis. The papers range from survey articles to research papers, and from theoretical topics such as simulated annealing through to applied image reconstruction. It covers applications as diverse as biomedicine, astronomy, and geophysics. As a result, any researcher working on image analysis will find this book provides an up-to-date overview of the field and in addition, the extensive bibliographies will make this a useful reference.

Stochastic Models, Statistical Methods, and Algorithms in Image Analysis

Stochastic Models, Statistical Methods, and Algorithms in Image Analysis
Author: Piero Barone
Publisher:
Total Pages: 268
Release: 1992-06-24
Genre: Algorithms
ISBN: 9781461229216
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Download Stochastic Models, Statistical Methods, and Algorithms in Image Analysis Book in PDF, ePub and Kindle

This volume comprises a collection of papers by world- renowned experts on image analysis. The papers range from survey articles to research papers, and from theoretical topics such as simulated annealing through to applied image reconstruction. It covers applications as diverse as biomedicine, astronomy, and geophysics. As a result, any researcher working on image analysis will find this book provides an up-to-date overview of the field and in addition, the extensive bibliographies will make this a useful reference.

Stochastic Models, Statistics and Their Applications

Stochastic Models, Statistics and Their Applications
Author: Ansgar Steland
Publisher: Springer Nature
Total Pages: 450
Release: 2019-10-15
Genre: Mathematics
ISBN: 3030286657
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This volume presents selected and peer-reviewed contributions from the 14th Workshop on Stochastic Models, Statistics and Their Applications, held in Dresden, Germany, on March 6-8, 2019. Addressing the needs of theoretical and applied researchers alike, the contributions provide an overview of the latest advances and trends in the areas of mathematical statistics and applied probability, and their applications to high-dimensional statistics, econometrics and time series analysis, statistics for stochastic processes, statistical machine learning, big data and data science, random matrix theory, quality control, change-point analysis and detection, finance, copulas, survival analysis and reliability, sequential experiments, empirical processes, and microsimulations. As the book demonstrates, stochastic models and related statistical procedures and algorithms are essential to more comprehensively understanding and solving present-day problems arising in e.g. the natural sciences, machine learning, data science, engineering, image analysis, genetics, econometrics and finance.

Stochastic Models, Statistics and Their Applications

Stochastic Models, Statistics and Their Applications
Author:
Publisher:
Total Pages: 449
Release: 2019
Genre: Stochastic processes
ISBN: 9783030286668
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Download Stochastic Models, Statistics and Their Applications Book in PDF, ePub and Kindle

This volume presents selected and peer-reviewed contributions from the 14th Workshop on Stochastic Models, Statistics and Their Applications, held in Dresden, Germany, on March 6-8, 2019. Addressing the needs of theoretical and applied researchers alike, the contributions provide an overview of the latest advances and trends in the areas of mathematical statistics and applied probability, and their applications to high-dimensional statistics, econometrics and time series analysis, statistics for stochastic processes, statistical machine learning, big data and data science, random matrix theory, quality control, change-point analysis and detection, finance, copulas, survival analysis and reliability, sequential experiments, empirical processes, and microsimulations. As the book demonstrates, stochastic models and related statistical procedures and algorithms are essential to more comprehensively understanding and solving present-day problems arising in e.g. the natural sciences, machine learning, data science, engineering, image analysis, genetics, econometrics and finance.

Image Analysis, Random Fields and Dynamic Monte Carlo Methods

Image Analysis, Random Fields and Dynamic Monte Carlo Methods
Author: Gerhard Winkler
Publisher: Springer Science & Business Media
Total Pages: 321
Release: 2012-12-06
Genre: Mathematics
ISBN: 3642975224
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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.

Stochastic Modeling for Medical Image Analysis

Stochastic Modeling for Medical Image Analysis
Author: Ayman El-Baz
Publisher: CRC Press
Total Pages: 299
Release: 2015-11-18
Genre: Medical
ISBN: 1466599081
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Stochastic Modeling for Medical Image Analysis provides a brief introduction to medical imaging, stochastic modeling, and model-guided image analysis.Today, image-guided computer-assisted diagnostics (CAD) faces two basic challenging problems. The first is the computationally feasible and accurate modeling of images from different modalities to obt

Image Analysis, Random Fields and Markov Chain Monte Carlo Methods

Image Analysis, Random Fields and Markov Chain Monte Carlo Methods
Author: Gerhard Winkler
Publisher: Springer Science & Business Media
Total Pages: 389
Release: 2012-12-06
Genre: Mathematics
ISBN: 3642557600
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"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

Stochastic Geometry for Image Analysis

Stochastic Geometry for Image Analysis
Author: Xavier Descombes
Publisher: John Wiley & Sons
Total Pages: 215
Release: 2013-05-06
Genre: Technology & Engineering
ISBN: 1118601130
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This book develops the stochastic geometry framework for image analysis purpose. Two main frameworks are described: marked point process and random closed sets models. We derive the main issues for defining an appropriate model. The algorithms for sampling and optimizing the models as well as for estimating parameters are reviewed. Numerous applications, covering remote sensing images, biological and medical imaging, are detailed. This book provides all the necessary tools for developing an image analysis application based on modern stochastic modeling.

Stochastic Models, Statistics and Their Applications

Stochastic Models, Statistics and Their Applications
Author: Ansgar Steland
Publisher: Springer
Total Pages: 479
Release: 2015-02-04
Genre: Mathematics
ISBN: 3319138812
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Download Stochastic Models, Statistics and Their Applications Book in PDF, ePub and Kindle

This volume presents the latest advances and trends in stochastic models and related statistical procedures. Selected peer-reviewed contributions focus on statistical inference, quality control, change-point analysis and detection, empirical processes, time series analysis, survival analysis and reliability, statistics for stochastic processes, big data in technology and the sciences, statistical genetics, experiment design, and stochastic models in engineering. Stochastic models and related statistical procedures play an important part in furthering our understanding of the challenging problems currently arising in areas of application such as the natural sciences, information technology, engineering, image analysis, genetics, energy and finance, to name but a few. This collection arises from the 12th Workshop on Stochastic Models, Statistics and Their Applications, Wroclaw, Poland.