Principal Component Pursuit with Reduced Linear Measurements
Arvind GaneshKerui MinJohn WrightYi MaPublished in: CoRR (2012)
Keyphrases
- principal components
- principal component analysis
- multivariate data
- kernel space
- dimensionality reduction
- principal component regression
- linear systems
- correlation coefficient
- principal components analysis
- image processing
- feature set
- hyperplane
- covariance matrix
- spectral data
- data sets
- pattern recognition
- similarity measure
- decision trees
- machine learning
- neural network