MATLAB and Simulink Based Books
This text provides students with an introduction to kernel-based pattern analysis, and provides practicioners with a large toolkit of algorithms, kernels, and solutions ready to be implemented. Topics covered include properties of kernels, detecting stable patterns, pattern analysis using eigen-decompositions and convex optimization, ranking, and constructing kernels. MATLAB is used throughout the book to solve example problems.
Companion Software: A set of MATLAB M-files is available.
Teaching materials based on MATLAB and Simulink