Introduction to Statistical Pattern Recognition

Introduction to Statistical Pattern Recognition
Author :
Publisher : Elsevier
Total Pages : 592
Release :
ISBN-10 : 9780080478654
ISBN-13 : 0080478654
Rating : 4/5 (54 Downloads)

Book Synopsis Introduction to Statistical Pattern Recognition by : Keinosuke Fukunaga

Download or read book Introduction to Statistical Pattern Recognition written by Keinosuke Fukunaga and published by Elsevier. This book was released on 2013-10-22 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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