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Fractional Barrier Lyapunov Functions with Application to Learning Control
Barrier Lyapunov functions are suitable for learning control designs, due to their feature of finite duration tracking.
Dilated Deep Residual Network for Image Denoising
It has been proven that the expansion of receptive field can boost the CNN performance in image classification, and we further demonstrate that it can also lead to competitive performance for denoising problem.
Automatic Feature Induction for Stagewise Collaborative Filtering
Recent approaches to collaborative filtering have concentrated on estimating an algebraic or statistical model, and using the model for predicting missing ratings.
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