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Language: en
Pages: 321
Pages: 321
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media
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 a
Language: en
Pages: 389
Pages: 389
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media
"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 met
Language: en
Pages: 338
Pages: 338
Type: BOOK - Published: 2013-03-14 - Publisher: Springer Science & Business Media
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal
Language: en
Pages: 266
Pages: 266
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media
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 th
Language: en
Pages: 603
Pages: 603
Type: BOOK - Published: 2013-03-09 - Publisher: Springer Science & Business Media
From the reviews: "Paul Glasserman has written an astonishingly good book that bridges financial engineering and the Monte Carlo method. The book will appeal to