Adaptive Robust Low-Rank 2-D Reconstruction With Steerable Sparsity.
Rui ZhangHan ZhangXuelong LiFeiping NiePublished in: IEEE Trans. Neural Networks Learn. Syst. (2020)
Keyphrases
- low rank
- rank minimization
- sparsity constraints
- low rank matrix
- linear combination
- low rank representation
- non rigid structure from motion
- low rank subspace
- matrix factorization
- robust principal component analysis
- convex optimization
- singular value decomposition
- missing data
- matrix completion
- semi supervised
- high order
- matrix decomposition
- high dimensional data
- computer vision
- trace norm
- sparse representation
- high dimensional
- minimization problems
- low rank matrices
- interior point methods
- low rank and sparse
- norm minimization
- affinity matrix
- structure from motion
- collaborative filtering
- feature selection