Accelerating truncated singular-value decomposition: a fast and provable method for robust principal component analysis
Principal component analysis (PCA) is one of the most popular statistical procedures for dimension reduction. A modification of PCA, called robust principal component analysis (RPCA), has been studied to overcome the well-known shortness of PCA: sensitivity to outliers and corrupted data points. Ear...
Main Author: | Cai, HanQin |
---|---|
Other Authors: | Cai, Jianfeng |
Format: | Others |
Language: | English |
Published: |
University of Iowa
2018
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Online Access: | https://ir.uiowa.edu/etd/6068 https://ir.uiowa.edu/cgi/viewcontent.cgi?article=7760&context=etd |
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