Format:
1 Online-Ressource (xi, 337 Seiten) :
,
Illustrationen, Diagramme.
ISBN:
978-1-61197-713-4
Series Statement:
Other Titles in Applied Mathematics [180]
Content:
Probability, estimation, and random processes -- Causal Gaussian models -- Non-causal Gaussian models -- Map estimation with Gaussian priors -- Non-Gaussian MRF models -- Map estimation with non-Gaussian priors -- Surrogate functions and majorization -- Constrained optimization and proximal methods -- Plug-and-play and advanced priors -- Model parameter estimation -- The expectation-maximization (EM) algorithm -- Markov chains and hidden Markov models -- General MRF models -- Stochastic simulation -- Bayesian segmentation -- Poisson data models.
Content:
This book provides a foundation for a collection of theoretical material that can serve as a common language for both researchers and practitioners of Computational Imaging.
Note:
Includes bibliographical references and index
Additional Edition:
Erscheint auch als Druck-Ausgabe ISBN 978-1-61197-712-7
Language:
English
Subjects:
Computer Science
DOI:
10.1137/1.9781611977134
URL:
Volltext
(URL des Erstveröffentlichers)
Bookmarklink