Robust principal component analysis using facial reduction
Work
Year: 2019
Type: article
Abstract: We introduce a novel approach for robust principal component analysis (RPCA) for a partially observed data matrix. The aim is to recover the data matrix as a sum of a low-rank matrix and a sparse mat... more
Source: Optimization and Engineering
Institutions University of California, Davis, KTH Royal Institute of Technology, University of Waterloo
Cites: 30
Cited by: 6
Related to: 10
FWCI: 0.71
Citation percentile (by year/subfield): 57.55
Subfield: Computational Mechanics
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
APC paid (est): $2,990