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Titlebook: Image Textures and Gibbs Random Fields; Georgy L. Gimel’farb Book 1999 Springer Science+Business Media Dordrecht 1999 Parameter.algorithms

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Supervised Conditional MLE-Based Learning,els of homogeneous textures in Eqs. (2.3) and (2.10). The conditional MLE gives, to within a scaling factor, an analytical form of a Gibbs potential to be learnt. Such a form permits, in particular, to choose the most appropriate parametric functions approximating the potentials for a given natural texture..
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1381-6446 . This book concentrates on image textures and presents novel techniques for their sim- ulation, retrieval, and segmentation using specific Gibbs random fields with multiple pairwise interaction between signals as probabilistic image models. These models and techniques were developed mainly during t
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Book 1999raduate students in computer science and electrical engineering who take an interest in image analysis and synthesis. Perhaps, mathematicians studying applications of random fields may find here some less traditional, and thus controversial, views and techniques.
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