Feature Learning via Partial Differential Equation with Applications to Face Recognition
We propose a novel Partial Differential Equation (PDE) based method for feature learning. The feature learned by our PDE is discriminative, also translationally and rotationally invariant, and robust to illumination variation.
Robust Nuclear Norm Regularized Regression for Face Recognition with Occlusion
We propose a nuclear-norm regularized regression model and use the alternating direction method of multipliers (ADMM) to solve it.