Repairing Sparse Low-Rank Texture.
Xiao LiangXiang RenZhengdong ZhangYi MaPublished in: ECCV (5) (2012)
Keyphrases
- low rank
- low rank matrix
- rank minimization
- low rank subspace
- low rank matrices
- nuclear norm
- sparsity constraints
- sparse linear
- robust principal component analysis
- linear combination
- low rank representation
- convex optimization
- kernel matrices
- missing data
- matrix factorization
- group sparsity
- low rank approximation
- regularized regression
- singular value decomposition
- matrix decomposition
- matrix completion
- low rank textures
- high dimensional data
- tensor decomposition
- high order
- semi supervised
- binary matrices
- kernel matrix
- minimization problems
- data matrix
- sparse coding
- trace norm
- data sets
- tensor factorization
- singular values
- low dimensional
- image classification
- nearest neighbor
- optical flow
- high dimensional