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Denoiser-loss estimators and twice-universal denoising
HPL-2009-343 Denoiser-loss estimators and twice-universal denoising - Ordentlich, Erik; Viswanathan, Krishnamurthy; Weinberger, Marcelo J.
Keyword(s): Universal denoising, concentration inequalities, universal data compression Abstract: We study the concentration of denoiser loss estimators, with application to the selection of denoiser parameters for a given observed sequence (in particular, the window size k of the DUDE algorithm [1]) via minimization of the estimated loss. We show that for a loss estimator proposed earlier [2], ... Full Report More... |
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