collagen 发表于 2025-3-25 06:13:26

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paltry 发表于 2025-3-25 09:01:37

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Innocence 发表于 2025-3-25 14:14:07

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narcissism 发表于 2025-3-25 19:46:26

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MAPLE 发表于 2025-3-26 00:01:47

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Thymus 发表于 2025-3-26 00:29:45

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..

效果 发表于 2025-3-26 08:18:51

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

Palate 发表于 2025-3-26 10:48:57

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教育学 发表于 2025-3-26 13:50:25

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BIBLE 发表于 2025-3-26 16:51:47

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