An accompanying manual to Theodoridis/Koutroumbas, Pattern Recognition, that includes Matlab code of the most common methods and algorithms in the book, together with a descriptive summary and solved examples, and including real-life data sets in imaging and audio recognition. *Matlab code and descriptive summary of the most common methods and algorithms in Theodoridis/Koutroumbas, Pattern Recognition 4e. *Solved examples in Matlab, including real-life data sets in imaging and audio recognition *Available separately or at a special package price with the main text (ISBN for package: 978-0-12-374491-3)Typical examples of kernel functions are (a) the radial basisfunction (RBF), defined as k(x, y) = exp ( a ||x ay||2 I2 ) where I is a ... To generate a nonlinear SVM classifier, the SMO2 MATLAB function, discussed in Section 2.4, may be used.
|Title||:||Introduction to Pattern Recognition: A Matlab Approach|
|Author||:||Sergios Theodoridis, Aggelos Pikrakis, Konstantinos Koutroumbas, Dionisis Cavouras|
|Publisher||:||Academic Press - 2010-03-03|