• Multiple kernel learning for spectral dimensionality reduction 

      Peluffo-Ordóñez D.H.; Castro-Ospina A.E.; Alvarado-Pérez J.C.; Revelo-Fuelagán E.J. (Springer Verlag, 2015)
      This work introduces a multiple kernel learning (MKL) approach for selecting and combining different spectralmethods of dimensionality reduction (DR).From a predefined set of kernels representing conventional spectralDRmethods, ...