Stable Discriminative Dictionary Learning Via Discriminative Deviation
Nazar Khan, Marshall F. Tappen · Journal of International Crisis and Risk Communication Research · 2012
Discriminative learning of sparse-code based dictionaries tends to be inherently unstable. We show that using a discriminative version of the deviation function to learn such dictionaries leads to a more stable formulation that can handle the reconstruction/discrimination trade-off in a principled manner. Results on Graz02 and UCF Sports datasets validate the proposed formulation. © 2012 ICPR Org Committee.