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Parametric dictionary learning for graph signals

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Learning of Structured Graph Dictionaries

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We propose a method for learning dictionaries towards sparse approximation of signals defined on vertices of arbitrary graphs. Dictionaries are expected to describe effectively the main spatial and spectral components of the signals of interest, so that th ...

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Computing symmetric nonnegative rank factorizations

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