Pattern Classification, Vol. 1

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Textbook (Hardcover - REV)

  • 680pp
  • Sales Rank: 318,059

Textbook Information

  • ISBN-13: 9780471056690
  • Edition Description: REV
  • Edition Number: 2
  • Pub. Date: January 2001
  • Publisher: Wiley, John & Sons, Incorporated

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Product Details

  • Pub. Date: January 2001
  • Publisher: Wiley, John & Sons, Incorporated
  • Format: Textbook Hardcover, 680pp
  • Sales Rank: 318,059

Synopsis

Pattern recognition systems play a role in applications as diverse as speech recognition, optical character recognition, image processing, and signal analysis. This reference provides information needed to choose the most appropriate of the many available techniques for a given class of problems. The latest edition includes explanations of classical and new methods, including neural networks, stochastic methods, genetic algorithms, and theory of learning. It provides algorithms to explain specific pattern-recognition and learning techniques as well as appendices covering the necessary mathematical background.

Annotation

The first edition, published in 1973, has become a classic reference in the field. Now with the second edition, readers will find information on key new topics such as neural networks and statistical pattern recognition, the theory of machine learning, and the theory of invariances. Also included are worked examples, comparisons between different methods, extensive graphics, expanded exercises and computer project topics.

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...provides information needed to choose the most appropriate of the many available technique for a given class of problems.

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Biography

RICHARD O. DUDA, PhD, is Professor in the Electrical Engineering Department at San Jose State University, San Jose, California.

PETER E. HART, PhD, is Chief Executive Officer and President of Ricoh Innovations, Inc. in Menlo Park, California.

DAVID G. STORK, PhD, is Chief Scientist, also at Ricoh Innovations, Inc.

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