Pattern recognition

著者

書誌事項

Pattern recognition

Sergios Theodoridis and Konstantinos Koutroumbas

Academic Press, an imprint of Elsevier, c2009

4th ed

大学図書館所蔵 件 / 38

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注記

Includes bibliographical references and index

内容説明・目次

内容説明

This book considers classical and current theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering. The authors, leading experts in the field of pattern recognition, have provided an up-to-date, self-contained volume encapsulating this wide spectrum of information. The very latest methods are incorporated in this edition: semi-supervised learning, combining clustering algorithms, and relevance feedback. * Thoroughly developed to include many more worked examples to give greater understanding of the various methods and techniques * Many more diagrams included--now in two color--to provide greater insight through visual presentation * Matlab code of the most common methods are given at the end of each chapter. * More Matlab code is available, together with an accompanying manual, via this site * Latest hot topics included to further the reference value of the text including non-linear dimensionality reduction techniques, relevance feedback, semi-supervised learning, spectral clustering, combining clustering algorithms. * An accompanying book with Matlab code of the most common methods and algorithms in the book, together with a descriptive summary, and solved examples including real-life data sets in imaging, and audio recognition. The companion book will be available separately or at a special packaged price (ISBN: 9780123744869).

目次

1. Introduction2. Classifiers based on Bayes Decision 3. Linear Classifiers4. Nonlinear Classifiers5. Feature Selection6. Feature Generation I: Data Transformation and Dimensionality Reduction7. Feature Generation II8. Template Matching 9. Context Depedant Clarification10. System Evaultion11. Clustering: Basic Concepts12. Clustering Algorithms: Algorithms L Sequential 13. Clustering Algorithms II: Hierarchical 14. Clustering Algorithms III: Based on Function Optimization 15. Clustering Algorithms IV: Clustering16. Cluster Validity

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詳細情報

  • NII書誌ID(NCID)
    BA87671814
  • ISBN
    • 9781597492720
  • 出版国コード
    us
  • タイトル言語コード
    eng
  • 本文言語コード
    eng
  • 出版地
    Burlington ; Tokyo
  • ページ数/冊数
    xvii, 961 p.
  • 大きさ
    24 cm
  • 分類
  • 件名
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