Pattern Recognition

An Algorithmic Approach

AvM. Narasimha Murty,V. Susheela Devi

Häftad, Engelska, 2011

Del i serien Undergraduate Topics in Computer Science

394 kr

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2011-07-08
Mått:168 x 240 x 17 mm
Vikt:528 g
Format:Häftad
Språk:Engelska
Serie:Undergraduate Topics in Computer Science
Antal sidor:263
Förlag:Springer London Ltd
ISBN:9780857294944

Utforska kategorier

Systemvetenskap och AI inom Data och IT

Mer om författaren

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.

Recensioner i media

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)

Innehållsförteckning

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.

Betyg & recensioner

4/5

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