Projective dictionary pair learning for pattern classification Shuhang Gu

Neural Information Processing Systems 

Discriminative dictionary learning (DL) has been widely studied in various pattern classification problems. Most of the existing DL methods aim to learn a synthesis dictionary to represent the input signal while enforcing the representation coefficients and/or representation residual to be discriminative.