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Learning with Uncertain Labels

Learning Auto-Structured Regressor from Uncertain Nonnegative Labels Shuicheng Yan, Huan Wang , Xiaoou Tang, Thomas S. Huang . Mathematical Formulation. Learning with Uncertain Labels . Evaluation Criteria. Experiment Results. Uncertainty Effectiveness.

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Learning with Uncertain Labels

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  1. Learning Auto-Structured Regressor from Uncertain Nonnegative LabelsShuicheng Yan, Huan Wang, Xiaoou Tang, Thomas S. Huang Mathematical Formulation Learning with Uncertain Labels Evaluation Criteria Experiment Results Uncertainty Effectiveness Estimated pose labels of the three images in Pointing04 from 13different observers by rotating a 3D head model. We can see thatlarge standard deviations exist for these labeled ground truths. Algorithm Convergence Label is Uncertain and Nonnegative !!! Makeup greatly affects observed age Living condition affects observed age An integer age l means the age within [l, l+1) Without ground truth, the age estimation is subject-dependent Iterative Procedure Flowchart Age Estimation Pose Estimation

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