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Gradient Descent with Sparsification: An Iterative Algorithm for Sparse Recovery with Restricted Isometry Property
Rahul Garg
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Oznake: computer science;algorithms and data structures
In this paper, we present an algorithm for finding an s-sparse vector x that minimizes the square-error ∥y − Φx∥ 2 where Φ satisfies the restricted isometry property (RIP). Our algorithm, called GraDeS (Gradient Descent with Sparsification) starts from an arbitrary s-sparse x and iteratively updates it ...
Leto: 2009 Vir: videolectures.net
Št. zadetkov: 1
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