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Image Analysis, Random Fields and Markov Chain Monte Carlo Methods
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Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

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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 met
Image Analysis, Random Fields and Dynamic Monte Carlo Methods
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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 a
Markov Random Field Modeling in Image Analysis
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Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal
Markov Random Field Modeling in Image Analysis
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Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal
Image Analysis
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This book constitutes the refereed proceedings of the 15th Scandinavian Conference on Image Analysis, SCIA 2007, held in Aalborg, Denmark in June 2007. It cover