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Other titles in the Undergraduate Topics in Computer Science series:
Pattern Recognition: An Algorithmic Approach (Undergraduate Topics in Computer Science)by M. Narasimha Murty
Synopses & Reviews
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.
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
What Our Readers Are Saying
Computers and Internet » Artificial Intelligence » Image Processing