1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.LG2019★ 1 cited
A Bias Trick for Centered Robust Principal Component Analysis
Baokun He, Guihong Wan, Haim Schweitzer
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 bi…
stat.ML2019
Improving the Accuracy of Principal Component Analysis by the Maximum Entropy Method
Guihong Wan, Crystal Maung, Haim Schweitzer
Classical Principal Component Analysis (PCA) approximates data in terms of projections on a small number of orthogonal vectors. There are simple procedures to efficiently compute v…