Pattern Recognition

Pattern Recognition

2nd Edition - March 26, 2003

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  • Authors: Sergios Theodoridis, Konstantinos Koutroumbas
  • eBook ISBN: 9780080513621

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Description

Pattern recognition is a scientific discipline that is becoming increasingly important in the age of automation and information handling and retrieval. Patter Recognition, 2e covers the entire spectrum of pattern recognition applications, from image analysis to speech recognition and communications. This book presents cutting-edge material on neural networks, - a set of linked microprocessors that can form associations and uses pattern recognition to "learn" -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.

Key Features

*Approaches pattern recognition from the designer's point of view
*New edition highlights latest developments in this growing field, including independent components and support vector machines, not available elsewhere
*Supplemented by computer examples selected from applications of interest

Readership

Engineering professionals and students in communications engineering, automation, information handling, communications, (statistical) pattern recognition, speech and image processing, & machine learning.

Table of Contents

  • Intro; Classifiers Based on Bayes Decision
    Theory; Support Vector machines (linear case); Support Vector Machines
    (nonlinear case); Decision trees; Linear Classifiers;
    Non Linear Classifiers; Deformable Template Matching; Feature Selection;
    Feature Generation I: Linear Transforms; Feature Generation II. Template
    Matching; Context Dependent Classification; System Evaluation Clustering: Basic
    Concepts; Clustering Algorithms I: Sequential Algorithms; Clustering
    Algorithms II: Hierarchical Algorithms; Clustering Algorithms III: Schemes Based
    on Function Optimization; Clustering Algorithms IV. Cluster Validity; Appendices.

Product details

  • No. of pages: 689
  • Language: English
  • Copyright: © Academic Press 2003
  • Published: March 26, 2003
  • Imprint: Academic Press
  • eBook ISBN: 9780080513621

About the Authors

Sergios Theodoridis

Sergios Theodoridis
Sergios Theodoridis acquired a Physics degree with honors from the University of Athens, Greece in 1973 and a MSc and a Ph.D. degree in Signal Processing and Communications from the University of Birmingham, UK in 1975 and 1978 respectively. Since 1995 he has been a Professor with the Department of Informatics and Communications at the University of Athens.

Affiliations and Expertise

Department of Informatics and Telecommunications, University of Athens, Greece

Konstantinos Koutroumbas

Konstantinos Koutroumbas acquired a degree from the University of Patras, Greece in Computer Engineering and Informatics in 1989, a MSc in Computer Science from the University of London, UK in 1990, and a Ph.D. degree from the University of Athens in 1995. Since 2001 he has been with the Institute for Space Applications and Remote Sensing of the National Observatory of Athens.

Affiliations and Expertise

Institute for Space Applications & Remote Sensing, National Observatory of Athens, Greece

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