Bridging Convex and Nonconvex Optimization in Robust PCA: Noise, Outliers, and Missing Data.
Yuxin ChenJianqing FanCong MaYuling YanPublished in: CoRR (2020)
Keyphrases
- missing data
- low rank
- robust principal component analysis
- weighted least squares
- optimization problems
- missing values
- convex optimization
- principal component analysis
- motion segmentation
- low rank matrix
- noisy data
- structure from motion
- matrix factorization
- incomplete data
- globally convergent
- rank minimization
- convex relaxation
- missing information
- multiple imputation
- objective function
- nonlinear programming
- principal components
- convex functions
- image noise
- data imputation
- feature extraction
- least squares
- quadratic optimization problems