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Many metric learning approaches neglect that the real world multi-class problems share strong visual similarities, which can be exploited by learning discriminative models. In this paper, a Two-level Multi-task Metric Learning (TMTL) method is presented to learn a distance measure from equivalence constraints. Multiple features are adopted to represent the image information and learn the distance...
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