Improving sparsity in kernel adaptive filters using a unit-norm dictionary.
Felipe A. TobarPublished in: DSP (2017)
Keyphrases
- sparse representation
- regularized least squares
- mixed norm
- kernel function
- high dimensional
- gaussian processes
- objective function
- norm regularization
- sparse coding
- image classification
- feature space
- face recognition
- dictionary learning
- random projections
- reproducing kernel hilbert space
- convex functions
- kernel learning
- hilbert space
- group lasso
- sparse approximations