Reduced-Set Kernel Principal Components Analysis for Improving the Training and Execution Speed of Kernel Machines

no code implementations • 26 Jul 2015 • Hassan A. Kingravi, Patricio A. Vela, Alexandar Gray

This paper presents a practical, and theoretically well-founded, approach to improve the speed of kernel manifold learning algorithms relying on spectral decomposition.