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Large-scale sparse recovery (SR) by solving -norm relaxations over Big Dictionary is a very challenging task. Plenty of greedy methods have therefore been proposed to address big SR problems, but most of them require restricted conditions for the convergence. Moreover, it is non-trivial for them to incorporate the -norm regularization that is required for robust signal recovery. We address...
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