Thursday 8 October 2009

Pattern Recognition

Pattern Recognition



Author: M. Narasimha Murty
Edition: 2011
Publisher: Springer
Binding: Paperback
ISBN: 0857294946
Category: Programming
List Price: $ 39.95
Price: $ 29.22
You Save: 27%




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



Observing the environment and recognising patterns for the purpose of decision making is fundamental to human nature. Programming books Pattern Recognition pdf. 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. Download books Pattern Recognition and Image Analysis pdf via mediafire, 4shared, rapidshare.

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Pattern Recognition
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Pattern Recognition and Image Analysis
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This volume constitutes the refereed proceedings of the 5th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2011, held in Las Palmas de Gran Canaria, Spain, in June 2011. The 34 revised full papers and 58 revised poster papers presented were carefully reviewed and selected from 158 submissions. The papers are organized in topical sections on computer vision; image processing and analysis; medical applications; and pattern recognition.

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Download Pattern Recognition


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. Download free Pattern Recognition: An Algorithmic Approach (Undergraduate Topics in Computer Science) pdf

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