MKL-RT: Multiple Kernel Learning for Ratio-trace Problems via Convex Optimization.
Raviteja VemulapalliVinay Praneeth BodaRama ChellappaPublished in: CoRR (2014)
Keyphrases
- multiple kernel learning
- convex relaxation
- convex optimization
- semidefinite program
- norm regularization
- group lasso
- convex optimization problems
- kernel learning
- linear combination
- lp norm
- multiple kernel
- semi supervised learning
- learning problems
- kernel methods
- matrix completion
- feature selection
- low rank
- kernel function
- multi task
- binary classification
- total variation
- text classification
- learning algorithm