Keyphrases
- low rank
- low rank approximation
- matrix completion
- low rank matrix
- singular value decomposition
- data matrix
- matrix decomposition
- missing data
- matrix factorization
- singular values
- frobenius norm
- linear combination
- least squares
- convex optimization
- kernel matrix
- low rank matrices
- eigendecomposition
- rank minimization
- low rank and sparse
- affinity matrix
- high dimensional data
- high order
- systems of linear equations
- semi supervised
- dimensionality reduction
- robust principal component analysis
- binary matrices
- trace norm
- minimization problems
- tensor factorization
- natural images
- small number
- feature extraction
- image processing
- feature selection
- data sets