Bridging Convex and Nonconvex Optimization in Robust PCA: Noise, Outliers, and Missing Data.

Yuxin Chen Jianqing Fan Cong Ma Yuling Yan

Published 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