Complex Support Vector Machines for Regression and Quaternary Classification

no code implementations • 9 Mar 2013 • Pantelis Bouboulis, Sergios Theodoridis, Charalampos Mavroforakis, Leoni Dalla

The method exploits the notion of widely linear estimation to model the input-out relation for complex-valued data and considers two cases: a) the complex data are split into their real and imaginary parts and a typical real kernel is employed to map the complex data to a complexified feature space and b) a pure complex kernel is used to directly map the data to the induced complex feature space.

Classification General Classification +1