Performance Limits of Dictionary Learning for Sparse Coding

17 Feb 2014Alexander JungYonina C. EldarNorbert Görtz

We consider the problem of dictionary learning under the assumption that the observed signals can be represented as sparse linear combinations of the columns of a single large dictionary matrix. In particular, we analyze the minimax risk of the dictionary learning problem which governs the mean squared error (MSE) performance of any learning scheme, regardless of its computational complexity... (read more)

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