PATTERN RECOGNATION & NEURAL NETWORK - RIPLEY, B.D.

PATTERN RECOGNATION & NEURAL NETWORK

B.D. RIPLEY

Yayınevi: Cambridge University Press

Yayın tarihi: 01/1996

ISBN: 9780521460866

Ciltli | İngilizce | 415 Sayfa |

Tür: Bilgisayar-Akademik

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Description

Pattern recognition has long been studied in relation to many different (and mainly unrelated) applications, such as remote sensing, computer vision, space research, and medical imaging. In this book Professor Ripley brings together two crucial ideas in pattern recognition; statistical methods and machine learning via neural networks. Unifying principles are brought to the fore, and the author gives an overview of the state of the subject. Many examples are included to illustrate real problems in pattern recognition and how to overcome them. This is a self-contained account, ideal both as an introduction for non-specialist readers, and also as a handbook for the more expert reader.

Table 0f Contents

1. Introduction and examples; 2. Statistical decision theory; 3. Linear discriminant analysis; 4. Flexible discriminants; 5. Feed-forward neural networks; 6. Non-parametric methods; 7. Tree-structured classifiers; 8. Belief networks; 9. Unsupervised methods; 10. Finding good pattern features; Appendix: statistical sidelines; Glossary; References; Author index; Subject index.

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