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Ordinal hyperplane ranking achieves superior performance in facial age estimation. However, further experiments show that this approach suffers from its ideal ranking rule, which sometimes causes unnecessary estimation deviations and degrades performance. Two approaches with new ranking rules are proposed, which minimise accidental deviations of binary classifiers and tactfully combine the accuracy...
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