Noisy Dual Principal Component Pursuit.
Tianyu DingZhihui ZhuTianjiao DingYunchen YangDaniel P. RobinsonManolis C. TsakirisRené VidalPublished in: ICML (2019)
Keyphrases
- principal components
- principal component analysis
- multivariate data
- dimensionality reduction
- correlation coefficient
- kernel space
- principal components analysis
- principal component regression
- covariance matrix
- hyperplane
- linear classifiers
- high dimensional
- noisy data
- principal curves
- data sets
- linear programming
- worst case
- lower bound
- computer vision