Learning optimal nonlinearities for iterative thresholding algorithms

15 Dec 2015Ulugbek S. KamilovHassan Mansour

Iterative shrinkage/thresholding algorithm (ISTA) is a well-studied method for finding sparse solutions to ill-posed inverse problems. In this letter, we present a data-driven scheme for learning optimal thresholding functions for ISTA... (read more)

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