Robust PCA Using Nonconvex Rank Approximation and Sparse Regularizer.
Jing DongZhichao XueWenwu WangPublished in: Circuits Syst. Signal Process. (2020)
Keyphrases
- robust principal component analysis
- principal component analysis
- low rank
- high dimensional
- rank minimization
- principal components analysis
- random projections
- dimensionality reduction
- sparse representation
- covariance matrix
- convex optimization
- face recognition
- semi supervised
- feature space
- dimension reduction
- low dimensional
- pairwise
- approximation methods
- stationary points
- sparse approximation
- objective function