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Error Resilient Deep Compressive Sensing
In this work, we proposed a robust deep reconstruction network to preserve the error-resilient property under the assumption of random measurement lost.
Regularized Weighted Chebyshev Approximations for Support Estimation
We introduce a new method for estimating the support size of an unknown distribution which provably matches the performance bounds of the state-of-the-art techniques in the area and outperforms them in practice.
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