Pattern Theory: The Stochastic Analysis of Real-World Signals, Second Edition
暫譯: 模式理論：現實世界信號的隨機分析（第二版）
David Bryant Mumford, Agnès Desolneux, Yann Gousseau
- 出版商: Chapman and Hall/CRC
- 出版日期: 2021-01-01
- 售價: $2,250
- 貴賓價: 9.5 折 $2,138
- 語言: 英文
- 頁數: 410
- 裝訂: Hardcover
- ISBN: 1138053961
- ISBN-13: 9781138053960
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商品描述
Like its widely praised, best-selling predecessor, Pattern Theory: The Stochastic 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.
商品描述(中文翻譯)
《模式理論：現實世界信號的隨機分析，第二版》與其廣受讚譽的暢銷前作相似，探討數學工具、模型本身以及應用統計分析六類代表性信號的計算演算法，這些信號的複雜性逐漸增加。本書涵蓋文本、聲音和圖像中的模式。
**第二版新增內容：**
- 新增一章討論卷積神經網絡（Convolutional Neural Networks, CNN），包括CNN的層次結構及其學習過程。
- 其他主題，包括醫療應用中的靈活模板、用於紋理合成的高斯模型、指數模型及其應用。
