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In this paper, a new age estimation framework considering the intrinsic properties of human ages is proposed, which improves the dimensionality reduction techniques to learn the connections between facial features and aging labels. To enhance the performance of dimensionality reduction, a distance metric adjustment step is introduced in advance to achieve a(More)
In this paper, a novel framework for facial expression recognition is proposed, which improves the conventional feature extraction technique to further exploit distinctive characters for each label. To reduce the effect from unrelated features for facial expression recognition, a denoising mechanism is introduced. After denoising, to keep the connection(More)
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