Keyphrases
- low rank
- convex optimization
- missing data
- matrix factorization
- linear combination
- singular value decomposition
- semi supervised
- low rank matrix
- matrix completion
- high order
- rank minimization
- kernel matrix
- high dimensional data
- matrix decomposition
- trace norm
- minimization problems
- robust principal component analysis
- small number
- data matrix
- low rank matrices
- low rank approximation
- singular values
- recommender systems
- pattern recognition
- image processing
- machine learning