Keyphrases
- loss function
- signal recovery
- norm regularization
- objective function
- pairwise
- solution path
- support vector
- convex functions
- regularization term
- compressed sensing
- low rank and sparse
- reproducing kernel hilbert space
- piecewise linear
- compressive sensing
- convex optimization
- worst case
- orthogonal matching pursuit
- feature extraction
- missing data
- group lasso
- unsupervised learning
- projections onto convex sets
- least squares