Introduction to Statistical Pattern Recognition, Second Edition (Computer Science and Scientific Computing Series)

By Keinosuke Fukunaga and Fukunaga

This completely revised second edition presents an introduction to statistical pattern recognition. Pattern recognition in general covers a wide range of problems: it is applied to engineering problems, such as character readers and wave form analysis as well as to brain modeling in biology and psychology. Statistical decision and estimation, which are the main subjects of this book, are regarded as fundamental to the study of pattern recognition. This book is appropriate as a text for introductory courses in pattern recognition and as a reference book for workers in the field. Each chapter contains computer projects as well as exercises. This description may be from another edition of this product.

• Format: Hardcover
• Language: English
• ISBN: 0122698517
• ISBN13: 9780122698514
• Release Date: October 1990
• Publisher: Academic Press
• Length: 626 Pages
• Weight: 2.28 lbs.
• Dimensions: 1.3" x 6.2" x 9.2"

Customer Reviews

pattern recognition in engineering

Fukunaga is a standard source for pattern recognition methods often cited in the engineering literature. Covers parametric (particularly linear and quadratic discriminant algorithms) and nonparametric methods (density estimation). It is designed for and popular with engineers. When I was working at Nichols Research Corporation Fukunaga's papers and this book (earlier edition) were often cited as sources to justify the algorithms...

Standard Reference in the Field

If you are writing a machine learning paper, and need to cite something to support an argument, you can almost always cite Fukunaga. This work is a standard reference in the field. The presentation of most material is very terse, but that is great if you already have a good feel for the material and need to look up some details about some algorithm or technique. There isn't much about neural networks here, but for the...