46 citations · 279 across the 39 of their papers we have counts for
Showing 2015Show all
2 papers · 1 filter
cs.CV2015
Pseudo-Bayesian Robust PCA: Algorithms and Analyses
Tae-Hyun Oh, Yasuyuki Matsushita, In So Kweon +1
Commonly used in computer vision and other applications, robust PCA represents an algorithmic attempt to reduce the sensitivity of classical PCA to outliers. The basic idea is to l…
cs.CV2015
Partial Sum Minimization of Singular Values in Robust PCA: Algorithm and Applications
Tae-Hyun Oh, Yu-Wing Tai, Jean-Charles Bazin +2
Robust Principal Component Analysis (RPCA) via rank minimization is a powerful tool for recovering underlying low-rank structure of clean data corrupted with sparse noise/outliers.…