A modular weighted sparse representation based on Fisher discriminant and sparse residual for face recognition with occlusion
We partition samples into quite small modules to capture the discriminative information. We identify a new weighting function based on the modular Fisher rate and residual. The method is based on sparse representation which makes the method robust.
modular weight sparse representation fisher discriminant face recognition design of algorithms