Multikernel Regression with Sparsity Constraint.
Shayan AziznejadMichael UnserPublished in: SIAM J. Math. Data Sci. (2021)
Keyphrases
- sparsity constraints
- regression model
- sparse representation
- negative matrix factorization
- sparse coding
- dictionary learning
- nonnegative matrix factorization
- low rank
- support vector regression
- model selection
- global constraints
- singular value decomposition
- support vector
- data analysis
- image processing
- denoising
- least squares
- feature vectors
- pairwise