This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approxi

This is the first text to provide a unified and self-contained introduction to visual pattern recognition and machine learning. It is useful as a general introd

This book adopts a detailed and methodological algorithmic approach to explain the concepts of pattern recognition. While the text provides a systematic account

Introduction to Pattern Recognition: A Matlab Approach is an accompanying manual to Theodoridis/Koutroumbas' Pattern Recognition. It includes Matlab code of the

The use of pattern recognition and classification is fundamental to many of the automated electronic systems in use today. However, despite the existence of a n