Pattern Recognition is a fundamental textbook that focuses on algorithms for recognizing and interpreting patterns in data. This reference work, written by Richard O. Duda from San Jose State University, covers essential topics in artificial intelligence and machine learning. It is intended for professionals and students seeking deeper insight into pattern recognition, statistical methods, and neural networks.
Contents
This second edition includes extensive information on, among other topics, the theory of machine learning, statistical pattern recognition, and invariance mechanisms. The text is provided with worked examples, comparisons of methods, extensive illustrations, and additional exercises, offering both a practical and theoretical guide to the field.
Specifications
- Author: Richard O. Duda (San Jose State University, California)
- Publisher: John Wiley & Sons Inc
- Imprint: Wiley-Interscience
- Publication date: 2000-11-21
- Number of pages: 688
- ISBN: 9780471056690
- Subject: Pattern recognition
- BISAC: COMPUTERS / Optical Data Processing
About the author
Richard O. Duda is a professor of Electrical Engineering at San Jose State University, San Jose, California.
Peter E. Hart is CEO and president of Ricoh Innovations, Inc., Menlo Park, California.
David G. Stork is chief scientist at Ricoh Innovations, Inc.