Keyphrases
- nuclear norm
- low rank
- low rank matrix
- matrix completion
- low rank matrices
- minimization problems
- norm minimization
- singular values
- convex optimization
- singular value decomposition
- face recognition
- principal component analysis
- matrix factorization
- dimensionality reduction
- rank minimization
- principal components
- missing data
- linear combination
- total variation
- semi supervised
- high dimensional data
- approximation methods
- high order
- multiscale
- feature extraction
- image retrieval
- unsupervised feature selection
- natural images
- convex relaxation
- incomplete data