Learning Invariant Representations with Kernel Warping

Invariance an effective prior that has been extensively used to bias supervised learning with a emph{given} representation of data. In order to learn invariant representations, wavelet and scattering based methods ``hard codeu0027u0027 invariance over the emph{entire} sample space, hence restricted to a limited range of transformations....More