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This title in other editions

Pattern Recognition: An Algorithmic Approach (Undergraduate Topics in Computer Science)

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Pattern Recognition: An Algorithmic Approach (Undergraduate Topics in Computer Science) Cover

 

Synopses & Reviews

Publisher Comments:

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, which has application in diverse technology areas--character recognition, image processing, industrial automation, internet searches, speech recognition, medical diagnostics, target recognition, space science, remote sensing, data mining, biometric identification--to name a few. This book is an exposition of principal topics in pattern recognition using an algorithmic approach. It provides a thorough introduction to the concepts of pattern recognition and a systematic account of the major topics in pattern recognition besides reviewing the vast progress made in the field in recent times. It includes basic techniques of pattern recognition, 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 engineering and allied disciplines.

Synopsis:

Containing numerous exercises, this book deals with the scientific discipline that enables similar perception in machines through pattern recognition (PR). The book offers an exposition of principal topics in PR using an algorithmic approach.

About the Author

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.

Table of Contents

Introduction Representation Nearest Neighbour Based Classifiers Bayes Classifier Hidden Markov Models Decision Trees Support Vector Machines Combination of Classifiers Clustering Summary An Application: Handwritten Digit Recognition

Product Details

ISBN:
9780857294944
Author:
Murty, M. Narasimha
Publisher:
Springer
Author:
Devi, V. Susheela
Subject:
Computer Science
Subject:
Bayes Classifier
Subject:
Combinational Classifiers
Subject:
Decision Trees.
Subject:
Hidden Markov Models
Subject:
Hierarchical and Partitioning Schemes for Clustering
Subject:
Nearest Neighbour Classifiers
Subject:
support vector machine
Subject:
Computer Science, general
Subject:
Computer Science, general <p>Contains numerous exercises, as well as learning objectives and summaries for each chapter</p><p>Explains the hidden Markov model for speech and speaker recognition tasks</p><p>Discusses support vector machines, with suitable
Subject:
Computers-Reference - General
Copyright:
Edition Description:
2011
Series:
Undergraduate Topics in Computer Science
Publication Date:
20110428
Binding:
TRADE PAPER
Language:
English
Pages:
275
Dimensions:
240 x 168 mm

Related Subjects

Computers and Internet » Artificial Intelligence » Image Processing
Computers and Internet » Computers Reference » General
Computers and Internet » Personal Computers » General
Health and Self-Help » Health and Medicine » Medical Specialties
Reference » Science Reference » Technology

Pattern Recognition: An Algorithmic Approach (Undergraduate Topics in Computer Science) New Trade Paper
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Product details 275 pages Springer - English 9780857294944 Reviews:
"Synopsis" by , Containing numerous exercises, this book deals with the scientific discipline that enables similar perception in machines through pattern recognition (PR). The book offers an exposition of principal topics in PR using an algorithmic approach.
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