Automatically Query Active Features Based on Pixel-Level for Facial Expression Recognition
Feature extraction-based subspace learning methods normally learn a projection that can convert the high-dimensional data to the low-dimensional representation.However, they may not be suitable for better classification since features obtained by these methods ignore Clothing discriminability of the data-pixel itself.Given this, we propose a novel