Strongly Convex Programming for Principal Component Pursuit
Qingshan YouQun WanYipeng LiuPublished in: CoRR (2012)
Keyphrases
- principal components
- convex programming
- linear programming
- convex optimization
- interior point methods
- principal component analysis
- dimensionality reduction
- kernel learning
- feature set
- hyperplane
- primal dual
- semidefinite programming
- covariance matrix
- correlation coefficient
- principal component regression
- convex functions
- machine learning
- support vector regression
- data sets
- dynamic programming
- neural network