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Top pattern-recognition books mentioned on stackoverflow.com

Learning OpenCV

Gary Bradski, Adrian Kaehler

Describes the features and functions of OpenCV along with information on how to build applications using computer vision.

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Pattern Recognition and Machine Learning

Christopher M. Bishop

The field of pattern recognition has undergone substantial development over the years. This book reflects these developments while providing a grounding in the basic concepts of pattern recognition and machine learning. It is aimed at advanced undergraduates or first year PhD students, as well as researchers and practitioners.

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Pattern classification

Richard O. Duda, Peter E. Hart, David G. Stork

This edition has been completely revised, enlarged and formatted in two colour. It is a systematic account of the major topics in pattern recognition, based on the fundamental principles. It includes extensive examples, exercises and a solutions manual.

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Machine Learning

Kevin P. Murphy

A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.

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Data mining

Ian H. Witten, Eibe Frank

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Artificial Intelligence

Stuart Jonathan Russell, Peter Norvig

The long-anticipated revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence.

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Probability and Random Processes for Electrical Engineering

Alberto Leon-Garcia

This applications oriented book features coverage of Markov chains and queuing theory which is of particular interest to communications professionals--a newer area where many professionals will need an update or refresher. It also features computer-based methods and exercises providing the most up-to-date training for those in the fields of telecommunications and computer engineering.

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