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 discriminability of the data-pi...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8766106/ |