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Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an -regularized linear regression problem, commonly referred to as Lasso or Basis Pursuit. In this work we combine the sparsity-inducing property of the Lasso at the individual feature level, with the block-sparsity property of the Group Lasso, where...
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