Sketching for Large-Scale Learning of Mixture Models

9 Jun 2016Nicolas KerivenAnthony BourrierRémi GribonvalPatrick Pérez

Learning parameters from voluminous data can be prohibitive in terms of memory and computational requirements. We propose a "compressive learning" framework where we estimate model parameters from a sketch of the training data... (read more)

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