Markov Models for Pattern Recognition: From Theory to Applications
暫譯: 馬可夫模型於模式識別：從理論到應用

Gernot A. Fink

Markov Models for Pattern Recognition: From Theory to Applications
  • 出版商: Springer
  • 出版日期: 2007-10-02
  • 售價: $3,840
  • 貴賓價: 9.5 折 $3,648
  • 語言: 英文
  • 頁數: 248
  • 裝訂: Hardcover
  • ISBN: 3540717668
  • ISBN-13: 9783540717669

    • 海外代購書籍(需單獨結帳)

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商品描述

Description

Markov models are used to solve challenging pattern recognition problems on the basis of sequential data as, e.g., automatic speech or handwriting recognition. This comprehensive introduction to the Markov modeling framework describes both the underlying theoretical concepts of Markov models - covering Hidden Markov models and Markov chain models - as used for sequential data and presents the techniques necessary to build successful systems for practical applications.

Additionally, the actual use of the technology in the three main application areas of pattern recognition methods based on Markov- Models - namely speech recognition, handwriting recognition, and biological sequence analysis - are demonstrated.

商品描述(中文翻譯)

**描述**

馬可夫模型用於解決基於序列數據的挑戰性模式識別問題，例如自動語音或手寫識別。本書全面介紹馬可夫建模框架，描述馬可夫模型的基本理論概念，包括隱馬可夫模型和馬可夫鏈模型，並針對序列數據提供必要的技術，以建立成功的實用應用系統。

此外，還展示了該技術在基於馬可夫模型的三個主要應用領域中的實際使用，這些領域包括語音識別、手寫識別和生物序列分析。

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