Euler principal component analysis
Principal Component Analysis (PCA) is perhaps the most prominent learning tool for dimensionality reduction in pattern recognition and computer vision. However, the ℓ 2-norm employed by standard PCA is not robust to outliers. In this paper, we propose a kernel PCA method for fast and robust PCA, whi...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Published: |
Springer
2013
|
| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/31427/ |