Analysis of Fast Alternating Minimization for Structured Dictionary Learning

1 Feb 2018Saiprasad RavishankarAnna MaDeanna Needell

Methods exploiting sparsity have been popular in imaging and signal processing applications including compression, denoising, and imaging inverse problems. Data-driven approaches such as dictionary learning and transform learning enable one to discover complex image features from datasets and provide promising performance over analytical models... (read more)

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