Keyphrases
- low rank
- convex optimization
- missing data
- matrix factorization
- linear combination
- matrix completion
- low rank matrix
- semi supervised
- singular value decomposition
- rank minimization
- matrix decomposition
- high dimensional data
- kernel matrix
- high order
- trace norm
- low rank matrices
- cross domain
- data matrix
- minimization problems
- singular values
- computer vision
- recommender systems
- pattern recognition
- affinity matrix
- small number
- feature selection
- non rigid structure from motion
- machine learning
- robust principal component analysis