Identifying global optimality for dictionary learning

17 Apr 2016 Lei Le Martha White

Learning new representations of input observations in machine learning is often tackled using a factorization of the data. For many such problems, including sparse coding and matrix completion, learning these factorizations can be difficult, in terms of efficiency and to guarantee that the solution is a global minimum... (read more)

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