Keyphrases
- high dimensional
- low rank
- high dimensional data
- matrix factorization
- low rank matrix
- dimensionality reduction
- convex optimization
- missing data
- matrix completion
- linear combination
- matrix decomposition
- rank minimization
- semi supervised
- singular value decomposition
- kernel matrix
- nearest neighbor
- high order
- data points
- pattern recognition
- non rigid structure from motion
- minimization problems
- low rank matrices
- robust principal component analysis
- affinity matrix
- learning process
- trace norm