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The Ethereal
A Bias Trick for Centered Robust Principal Component Analysis
November 19, 2019 ยท Declared Dead ยท ๐ AAAI Conference on Artificial Intelligence
"No code URL or promise found in abstract"
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Authors
Baokun He, Guihong Wan, Haim Schweitzer
arXiv ID
1911.08024
Category
cs.LG: Machine Learning
Cross-listed
stat.ML
Citations
1
Venue
AAAI Conference on Artificial Intelligence
Last Checked
5 months ago
Abstract
Outlier based Robust Principal Component Analysis (RPCA) requires centering of the non-outliers. We show a "bias trick" that automatically centers these non-outliers. Using this bias trick we obtain the first RPCA algorithm that is optimal with respect to centering.
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