Introduction to Statistical Pattern Recognition

Download or Read eBook Introduction to Statistical Pattern Recognition PDF written by Keinosuke Fukunaga and published by Elsevier. This book was released on 2013-10-22 with total page 606 pages. Available in PDF, EPUB and Kindle.
Introduction to Statistical Pattern Recognition
Author :
Publisher : Elsevier
Total Pages : 606
Release :
ISBN-10 : 9780080478654
ISBN-13 : 0080478654
Rating : 4/5 (54 Downloads)

Book Synopsis Introduction to Statistical Pattern Recognition by : Keinosuke Fukunaga

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.


Introduction to Statistical Pattern Recognition Related Books

Introduction to Statistical Pattern Recognition
Language: en
Pages: 606
Authors: Keinosuke Fukunaga
Categories: Computers
Type: BOOK - Published: 2013-10-22 - Publisher: Elsevier

DOWNLOAD EBOOK

This completely revised second edition presents an introduction to statistical pattern recognition. Pattern recognition in general covers a wide range of proble
Statistical Pattern Recognition
Language: en
Pages: 516
Authors: Andrew R. Webb
Categories: Mathematics
Type: BOOK - Published: 2003-07-25 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Statistical pattern recognition is a very active area of study andresearch, which has seen many advances in recent years. New andemerging applications - such as
Discriminant Analysis and Statistical Pattern Recognition
Language: en
Pages: 552
Authors: Geoffrey J. McLachlan
Categories: Mathematics
Type: BOOK - Published: 2005-02-25 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and g
Introduction to Statistical Machine Learning
Language: en
Pages: 535
Authors: Masashi Sugiyama
Categories: Mathematics
Type: BOOK - Published: 2015-10-31 - Publisher: Morgan Kaufmann

DOWNLOAD EBOOK

Machine learning allows computers to learn and discern patterns without actually being programmed. When Statistical techniques and machine learning are combined
Introduction to Pattern Recognition
Language: en
Pages: 350
Authors: Menahem Friedman
Categories: Computers
Type: BOOK - Published: 1999 - Publisher: World Scientific

DOWNLOAD EBOOK

This book is an introduction to pattern recognition, meant for undergraduate and graduate students in computer science and related fields in science and technol