Norm Regularized Principal Component Pursuit.
Jing WangMeng WangXuegang HuShuicheng YanPublished in: CoRR (2016)
Keyphrases
- principal components
- regularized least squares
- trace norm
- regularization method
- principal component analysis
- norm minimization
- objective function
- dimensionality reduction
- hyperplane
- sparsity inducing
- multivariate data
- correlation coefficient
- least squares
- feature set
- total least squares
- kernel space
- convex optimization
- sparse representation
- tikhonov regularization
- sparse learning
- feature selection
- neural network
- image restoration
- upper bound