Feature extraction using maximum variance sparse mapping

In this paper, a multiple sub-manifold learning method–oriented classification is presented via sparse representation, which is named maximum variance sparse mapping. Based on the assumption that data with the same label locate on a sub-manifold and different class data reside in the correspon