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Human facial age estimation has attracted much attention due to its potential applications in forensics, security, and biometrics. In contrast to existing approaches that cast facial age estimation as either a multiclass classification or regression problem, in this work, we propose a novel approach that combines the strength of cost-sensitive label ranking methods with the power of low-rank matrix...
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