rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Image Analysis, Random Fields and Markov Chain Monte Carlo Methods
    sub title: a Mathematical Introduction
  name:
    name part: Winkler, Gerhard.
    role:
      role term: creator
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: gw
    date issued: 2003
    edition: Second edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (xvi, 387 pages)
  abstract: 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.
  table of contents: 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.
  note: by Gerhard Winkler.
  note: Electronic resource.
  subject:
    topic: Mathematics
  subject:
    topic: Medical radiology
  subject:
    topic: Computer simulation
  subject:
    topic: Computer vision
  subject:
    topic: Numerical analysis
  subject:
    topic: Distribution (Probability theory)
  subject:
    topic: Computer simulation
  subject:
    topic: Computer vision
  subject:
    topic: Distribution (Probability theory)
  subject:
    topic: Mathematics
  subject:
    topic: Numerical analysis
  subject:
    topic: Radiology, Medical
  classification: QA273.A1-274.9
  classification: QA274-274.9
  classification: 519.2
  related item:
    title info:
      title: Applications of Mathematics, Stochastic Modelling and Applied Probability ; 27
  identifier: 9783642557606 (electronic bk.)
  identifier: 3642557600 (electronic bk.)
  identifier: 9783642629112
  identifier: 3642629113
  identifier: 3642557600
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: AU@
    record creation date: 121227
    record change date: 20260422164958.7
    record identifier: in00003575425
    language of cataloging:
      language term: eng