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OptShrink: An algorithm for improved low-rank signal matrix denoising by optimal, data-driven singular value shrinkage
25 June 2013
R. Nadakuditi
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Papers citing
"OptShrink: An algorithm for improved low-rank signal matrix denoising by optimal, data-driven singular value shrinkage"
30 / 30 papers shown
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Low-rank matrix denoising for count data using unbiased Kullback-Leibler risk estimation
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Adaptive Structure-constrained Robust Latent Low-Rank Coding for Image Recovery
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Rapid evaluation of the spectral signal detection threshold and Stieltjes transform
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Time Series Source Separation using Dynamic Mode Decomposition
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Matrix denoising for weighted loss functions and heterogeneous signals
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Optimal spectral shrinkage and PCA with heteroscedastic noise
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Optimally Weighted PCA for High-Dimensional Heteroscedastic Data
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Heteroskedastic PCA: Algorithm, Optimality, and Applications
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Panoramic Robust PCA for Foreground-Background Separation on Noisy, Free-Motion Camera Video
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80
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Permutation methods for factor analysis and PCA
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Augmented Robust PCA For Foreground-Background Separation on Noisy, Moving Camera Video
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Brian E. Moore
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46
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Optimal prediction in the linearly transformed spiked model
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W. Leeb
A. Singer
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Asymptotic performance of PCA for high-dimensional heteroscedastic data
David Hong
Laura Balzano
Jeffrey A. Fessler
76
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Low-rank and Adaptive Sparse Signal (LASSI) Models for Highly Accelerated Dynamic Imaging
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Brian E. Moore
R. Nadakuditi
Jeffrey A. Fessler
88
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Generalized SURE for optimal shrinkage of singular values in low-rank matrix denoising
Jérémie Bigot
Charles-Alban Deledalle
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24 May 2016
Improved Sparse Low-Rank Matrix Estimation
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I. Selesnick
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Enhanced Low-Rank Matrix Approximation
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Testing in high-dimensional spiked models
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A. Onatski
84
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Joint Covariance Estimation with Mutual Linear Structure
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A. Wiesel
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Optimal Shrinkage of Singular Values
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D. Donoho
155
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29 May 2014
Matrix estimation by Universal Singular Value Thresholding
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491
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