Fast Estimation of Information Theoretic Learning Descriptors using Explicit Inner Product Spaces

Kan Li, Jose C. Principe

Kernel methods form a theoretically-grounded, powerful and versatile framework to solve nonlinear problems in signal processing and machine learning. The standard approach relies o…