Neural net with adaptive activation functions for face recognition
A. Talukder, David P. Casasent · 2000
An efficient two-stage algorithm to compute nonlinear features is described. Its implementation on a neural net with adaptive activation functions that raise the input data to an arbitrary power is described. Its use in face recognition with unknown input poses is presented.