Introduction to Pattern Recognition: A MATLAB Approach
Written as an accompanying manual to Pattern Recognition, 4e, this book provides self-contained MATLAB code files for the most common methods and algorithms in pattern recognition. The book provides descriptive summaries of the related techniques and algorithms and many solved examples. Topics covered include Bayesian decision theory, cost function optimization, and feature generation and dimensionality reduction.
MATLAB is used throughout the book to solve numerous application examples.
About This Book
Sergio Theodoridis, National and Kapodistrian University of Athens & Chinese University of Hong Kong
Konstantinos Koutroumbas, National Observatory of Athens
Aggelos Pikrakis, University of Piraeus
Dionisis Cavoura, Technological Educational Institute of Athens
Academic Press, 2010
Online Teaching with MATLAB and Simulink
Whether you are transitioning a classroom course to a hybrid model, developing virtual labs, or launching a fully online program, MathWorks can help you foster active learning no matter where it takes place.