Bregman Divergence-Based Regularization for Transfer Subspace Learning

Abstract

The regularization principals [31] lead approximation schemes to deal with various learning problems, e. g., the regularization of the norm in a reproducing kernel Hilbert space for the ill-posed problem. In this paper, we present a family of subspace le