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Facial age estimation is a challenging problem in computer vision. Existing methods can be classified into two categories: global and person-specific. In practice, the person-specific methods have shown better performance, however it still has some inherit problems such as over learning and mis-assignment of age estimators for unseen facial images. To fix these problems, this paper proposes correlated...
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