By Sirisha Rambhatla and others

We consider the dictionary learning problem, where the aim is to model the given data as a linear combination of a few columns of a matrix known as a dictionary, where the sparse weights forming the linear combination are known as coefficients. Since the dictionary and coefficients, parameterizing the linear... Show more

March 15, 2019

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NOODL: Provable Online Dictionary Learning and Sparse Coding

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