Keyphrases
- nuclear norm
- low rank
- low rank matrix
- norm minimization
- low rank matrices
- matrix completion
- minimization problems
- singular values
- singular value decomposition
- dimensionality reduction
- principal component analysis
- convex optimization
- rank minimization
- face recognition
- matrix factorization
- linear combination
- high dimensional data
- semi supervised
- sparse representation
- missing data
- principal components
- low dimensional
- sparse matrix
- image processing
- least squares
- total variation
- sparse coding
- data matrix
- interior point methods
- unsupervised learning
- convex relaxation
- recommender systems
- pairwise
- data analysis