Jan 5, 2021 · This paper examines the qualitative behavior of our Robust CUR decompositions on the benchmark videos and face datasets, and find that our ...
This paper considers the use of robust principal component analysis (RPCA) in a CUR decomposition framework and applications thereof.
Jan 8, 2021 · This paper considers the use of Robust PCA in a CUR decomposition framework and applications thereof. Our main algorithms produce a robust ...
The qualitative behavior of the Robust CUR decompositions on the benchmark videos and face datasets is examined, and it is found that the method works as ...
This paper examines the qualitative behavior of our robust CUR decompositions on the benchmark videos and face datasets and finds that our method works as well ...
This paper examines the qualitative behavior of our Robust CUR decompositions on the benchmark videos and face datasets, and find that our method works as well ...
This article discusses a useful tool in dimensionality reduction and low-rank matrix approximation called the CUR decomposition.
Table of Contents | SIAM Journal on Imaging Sciences Volume 14, Issue 4
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These methods yield interpretable factorizations at low computational cost and provide new CUR decompositions that are robust to sparse outliers, in contrast to ...
This paper considers the use of robust principal component analysis (RPCA) in a CUR decomposition framework and applications thereof. Our main algorithms ...
Robust CUR Decomposition: Theory and Imaging Applications. SIAM J. Imaging Sci. 14(4): 1472-1503 (2021). [j3]. view. electronic edition via DOI; unpaywalled ...