Name
Title | ||
|---|---|---|
Efficient Optimization Algorithms for Robust Principal Component Analysis and Its Variants. |
Abstract | ||
|---|---|---|
Robust principal component analysis (RPCA) has drawn significant attention in the last decade due to its success in numerous application domains, ranging from bioinformatics, statistics, and machine learning to image and video processing in computer vision. RPCA and its variants such as sparse PCA and stable PCA can be formulated as optimization problems with exploitable special structures. Many s... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/JPROC.2018.2846606 | Proceedings of the IEEE |
Keywords | DocType | Volume |
Principal component analysis,Sparse matrices,Robustness,Optimization,Convergence,Probability,Statistical analysis | Journal | 106 |
Issue | ISSN | Citations |
8 | 0018-9219 | 4 |
PageRank | References | Authors |
0.38 | 37 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shiqian Ma | 1 | 1068 | 63.48 |
| N. S. Aybat | 2 | 89 | 10.49 |