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Convolutional Neural Networks Analyzed via Inverse Problem Theory and Sparse Representations
We discuss the necessity of mutual coherence between CNN layer elements in order for a network to converge to the optimum solution.
CNNs as Inverse Problem Solvers and Double Network Superresolution
In recent years Convolutional Neural Networks (CNN) have been used extensively for Superresolution (SR).
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