Dictionary learning is a machine learning approach aimed at finding a set of basis functions, or 'dictionary,' that can effectively represent data in a sparse manner. It is often used in the context of sparse recovery algorithms, allowing for efficient reconstruction of signals from compressed representations by leveraging learned dictionaries that capture the intrinsic structures of the data.
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