On the Power of Adaptivity in Sparse Recovery

The goal of (stable) sparse recovery is to recover a k-sparse approximation x* of a vector x from linear measurements of x. Specifically, the goal is to recover x* such that ∥x-x*∥[subscript p] ≤ C min, k-sparse x, ∥x-x'∥[subscript q] for some constant C and norm parameters p and q. It is known...

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Bibliographic Details
Main Authors: Indyk, Piotr (Contributor), Price, Eric C. (Contributor), Woodruff, David P. (Author)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2012-09-17T17:45:48Z.
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