A variational approach to stable principal component pursuit.
Aleksandr Y. AravkinStephen BeckerVolkan CevherPeder A. OlsenPublished in: UAI (2014)
Keyphrases
- principal components
- principal component analysis
- multivariate data
- principal components analysis
- dimensionality reduction
- principal component regression
- hyperplane
- principal curves
- feature set
- correlation coefficient
- edge preserving
- kernel space
- decision trees
- covariance matrix
- feature selection
- linear classifiers
- partial differential equations
- energy functional
- learning algorithm
- singular value decomposition
- training data
- feature extraction
- face recognition
- computer vision