Pattern Recognition / Edition 1

Pattern Recognition / Edition 1

by Sergios Theodoridis, Konstantinos Koutroumbas, Konstantinos Koutroumbas
     
 

Pattern recognition is a scientific discipline that is becoming increasingly important in the age of automation and information handling and retrieval. This volume's unifying treatment covers the entire spectrum of pattern recognition applications, from image analysis to speech recognition and communications. It includes discussion of the latest techniques in wavelets… See more details below

Overview

Pattern recognition is a scientific discipline that is becoming increasingly important in the age of automation and information handling and retrieval. This volume's unifying treatment covers the entire spectrum of pattern recognition applications, from image analysis to speech recognition and communications. It includes discussion of the latest techniques in wavelets, wavelet packets, and fractals. This book presents cutting-edge material on neural networks, and enhances student motivation by approaching pattern recognition from the designer's point of view. A direct result of more than 10 years of teaching experience, the text was developed by the authors through use in their own classrooms.

Product Details

ISBN-13:
9780126861402
Publisher:
Elsevier Science & Technology Books
Publication date:
04/28/1999
Edition description:
Older Edition
Pages:
591
Product dimensions:
6.27(w) x 9.32(h) x 1.31(d)

Related Subjects

Table of Contents

Ch. 1Introduction1
Ch. 2Classifiers based on Bayes decision theory13
Ch. 3Linear classifiers69
Ch. 4Nonlinear classifiers121
Ch. 5Feature selection213
Ch. 6Feature generation I : linear transforms263
Ch. 7Feature generation II327
Ch. 8Template matching397
Ch. 9Context-dependent classification427
Ch. 10System evaluation471
Ch. 11Clustering : basic concepts483
Ch. 12Clustering algorithms I : sequential algorithms517
Ch. 13Clustering algorithms II : hierarchical algorithms541
Ch. 14Clustering algorithms III : schemes based on function optimization589
Ch. 15Clustering algorithms IV653
Ch. 16Cluster validity733
App. AHints from probability and statistics785
App. BLinear algebra basics797
App. CCost function optimization801
App. DBasic definitions from linear systems theory819

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