Low-Rank Matrix Estimation from Rank-One Projections by Unlifted Convex Optimization.
Sohail BahmaniKiryung LeePublished in: SIAM J. Matrix Anal. Appl. (2021)
Keyphrases
- convex optimization
- low rank matrix
- low rank
- nuclear norm
- interior point methods
- total variation
- convex relaxation
- singular value decomposition
- primal dual
- matrix factorization
- singular values
- sparse matrix
- low rank textures
- low rank and sparse
- matrix completion
- low rank matrix recovery
- norm minimization
- low rank approximation
- rank minimization
- kernel matrix
- image denoising
- object recognition
- image processing