Matrix rigidity and the ill-posedness of robust PCA and matrix completion
<p style="text-align:justify;">Robust principal component analysis (RPCA) [J. Cand\`es et al., J. ACM, 58 (2011), pp. 1--37] and low-rank matrix completion [B. Recht, M. Fazel, and P. A. Parrilo, SIAM Rev., 52 (2010), pp. 471--501] are extensions of PCA that allow for outliers and mi...
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Format: | Journal article |
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Society for Industrial and Applied Mathematics
2019
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