norm regularized principal component pursuit.
Jing WangMeng WangXuegang HuShuicheng YanPublished in: Pattern Recognit. (2015)
Keyphrases
- principal components
- regularized least squares
- trace norm
- regularization method
- principal component analysis
- norm minimization
- objective function
- principal component regression
- multivariate data
- tikhonov regularization
- hyperplane
- sparsity inducing
- correlation coefficient
- kernel space
- dimensionality reduction
- least squares
- image restoration
- convex optimization
- total least squares
- principal curves
- low rank
- partial least squares
- variable selection
- feature selection
- cross validation
- feature set
- lower bound
- image processing