パターン理論（第２版） Pattern Theory : The Stochastic Analysis of Real-world Signals （2 New）

パターン理論（第２版）<br>Pattern Theory : The Stochastic Analysis of Real-world Signals （2 New）

パターン理論（第２版）
Pattern Theory : The Stochastic Analysis of Real-world Signals （2 New）

Mumford, David Bryant/ Desolneux, Agns/ Gousseau, Yann

Chapman & Hall（2021/01発売）

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製本 Hardcover:ハードカバー版／ページ数 410 p.
言語 ENG
商品コード 9781138053960
DDC分類 511

Full Description

Like its widely praised, best-selling predecessor, Pattern TheoryStochastic Analysis of Real-World Signals, Second Edition treats the mathematical tools, the models themselves, and the computational algorithms for applying statistics to analyze six representative classes of signals of increasing complexity. The book covers patterns in text, sound, and images. New to theSecond Edition:* A new chapter discussing Convolutional Neural Networks (CNN's) including the hierarchical structure of, and learning, with CNN's *Additional topics, including flexible templates in medical applications, Gaussian models for texture synthesis, exponential models and their use.

What Is Pattern Theory?. English Text and Markov Chains. Music and Piecewise Gaussian Models. Character Recognition and Syntactic Grouping. Image Texture, Segmentation and Gibbs Models. Faces and Flexible Templates. Natural Scenes and their Multiscale Analysis. Neural Nets for Learning and Synthesis. Bibliography