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Pattern Recognition

An Algorithmic Approach

  • Textbook
  • © 2011

Overview

Authors:
  1. M. Narasimha Murty

    1. Dept. of Computer Science and Automation, Indian Institute of Science, Bangalore, India

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  2. V. Susheela Devi

    1. Dept. of Computer Science and Automation, Indian Institute of Science, Bangalore, India

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • Contains numerous exercises, as well as learning objectives and summaries for each chapter
  • Explains the hidden Markov model for speech and speaker recognition tasks
  • Discusses support vector machines, with suitable examples

Part of the book series: Undergraduate Topics in Computer Science (UTICS)

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Table of contents (11 chapters)

  1. Front Matter

    Pages I-XI
    Download chapter PDF

  2. Introduction

    • M. Narasimha Murty, V. Susheela Devi
    Pages 1-6

  3. Representation

    • M. Narasimha Murty, V. Susheela Devi
    Pages 7-47

  4. Nearest Neighbour Based Classifiers

    • M. Narasimha Murty, V. Susheela Devi
    Pages 48-85

  5. Bayes Classifier

    • M. Narasimha Murty, V. Susheela Devi
    Pages 86-102

  6. Hidden Markov Models

    • M. Narasimha Murty, V. Susheela Devi
    Pages 103-122

  7. Decision Trees

    • M. Narasimha Murty, V. Susheela Devi
    Pages 123-146

  8. Support Vector Machines

    • M. Narasimha Murty, V. Susheela Devi
    Pages 147-187

  9. Combination of Classifiers

    • M. Narasimha Murty, V. Susheela Devi
    Pages 188-206

  10. Clustering

    • M. Narasimha Murty, V. Susheela Devi
    Pages 207-244

  11. Summary

    • M. Narasimha Murty, V. Susheela Devi
    Pages 245-246

  12. An Application: Handwritten Digit Recognition

    • M. Narasimha Murty, V. Susheela Devi
    Pages 247-254

  13. Back Matter

    Pages 255-263
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Keywords

About this book

Observing the environment and recognising patterns for the purpose of decision making is fundamental to human nature. This book deals with the scientific discipline that enables similar perception in machines through pattern recognition (PR), which has application in diverse technology areas. This book is an exposition of principal topics in PR using an algorithmic approach. It provides a thorough introduction to the concepts of PR and a systematic account of the major topics in PR besides reviewing the vast progress made in the field in recent times. It includes basic techniques of PR, neural networks, support vector machines and decision trees. While theoretical aspects have been given due coverage, the emphasis is more on the practical. The book is replete with examples and illustrations and includes chapter-end exercises. It is designed to meet the needs of senior undergraduate and postgraduate students of computer science and allied disciplines.

Reviews

From the reviews:

“This interesting book provides a concise and simple exposition of principal topics in pattern recognition using an algorithmic approach, and is intended mainly for undergraduate and postgraduate students. … An application to handwritten digit recognition is described at the end of the book. Many examples and exercises are proposed to make the treatment clear. A ‘further reading’ section and a bibliography are presented at the end of each chapter.” (Patrizio Frosini, Zentralblatt MATH, Vol. 1238, 2012)

Authors and Affiliations

  • Dept. of Computer Science and Automation, Indian Institute of Science, Bangalore, India

    M. Narasimha Murty, V. Susheela Devi

About the authors

Dr. M. Narasimha Murty is a professor in the Department of Computer Science and Automation at the Indian Institute of Science, Bangalore. Dr. V. Susheela Devi is a senior scientific officer in the Department of Computer Science and Automation at the Indian Institute of Science, Bangalore.

Bibliographic Information

  • Book Title: Pattern Recognition

  • Book Subtitle: An Algorithmic Approach

  • Authors: M. Narasimha Murty, V. Susheela Devi

  • Series Title: Undergraduate Topics in Computer Science

  • DOI: https://doi.org/10.1007/978-0-85729-495-1

  • Publisher: Springer London

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Universities Press (India) Pvt. Ltd. 2011

  • Softcover ISBN: 978-0-85729-494-4Published: 08 July 2011

  • eBook ISBN: 978-0-85729-495-1Published: 25 May 2011

  • Series ISSN: 1863-7310

  • Series E-ISSN: 2197-1781

  • Edition Number: 1

  • Number of Pages: XI, 263

  • Additional Information: Co-publication with Universities Press (India) Pvt. Ltd.

  • Topics: Computer Science, general

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