Preface. Acknowledgements. Instead of introduction. 1. Texture, Structure, and Pairwise Interactions. 2. Markov and Non-Markov Gibbs Image Models. 3. Supervised MLE-Based Parameter Learning. 4. Supervised Conditional MLE-Based Learning. 5. Experiments in Simulating Natural Textures. 6. Experiments in Retrieving Natural Textures. 7. Experiments in Segmenting Natural Textures. Texture Modelling: Theory vs. Heuristics. References. Index.
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Preface. Acknowledgements. Instead of introduction. 1. Texture, Structure, and Pairwise Interactions. 2. Markov and Non-Markov Gibbs Image Models. 3. Supervised MLE-Based Parameter Learning. 4. Supervised Conditional MLE-Based Learning. 5. Experiments in Simulating Natural Textures. 6. Experiments in Retrieving Natural Textures. 7. Experiments in Segmenting Natural Textures. Texture Modelling: Theory vs. Heuristics. References. Index.
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- 1999, Kluwer Academic Publishers
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0792359615
- ISBN-13:
9780792359616
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268
- Publisher:
Kluwer Academic Publishers
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1999
- Language:
English
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17344940721
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- New. Sewn binding. Cloth over boards. Computational Imaging and Vision, 16.
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- Edition:
- 1999, Kluwer Academic Publishers
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Hardcover,
New
- Available Copies: 10+
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- Details:
- ISBN:
0792359615
- ISBN-13:
9780792359616
- Pages:
268
- Publisher:
Kluwer Academic Publishers
- Published:
1999
- Language:
English
- Alibris ID:
17382834907
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- New. Sewn binding. Cloth over boards. 268 p. Contains: Unspecified. Computational Imaging and Vision, 16.
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- Edition:
- 1999, Kluwer Academic Publishers
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- Details:
- ISBN:
0792359615
- ISBN-13:
9780792359616
- Pages:
268
- Publisher:
Kluwer Academic Publishers
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9/30/1999
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English
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18060058456
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1999,
Kluwer Academic Publishers, Dordrecht, Netherlands
ISBN-13: 9780792359616
Hardcover
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