Keyphrases
- sparse representation
- group lasso
- regularized regression
- variable selection
- regression model
- basis pursuit
- feature selection
- high dimensional
- linear regression
- efficient optimization
- low rank
- convex loss functions
- model selection
- convex optimization
- random sampling
- regression coefficients
- sparsity constraints
- denoising
- elastic net
- multi task
- multiple kernel learning
- regularization term
- image classification
- least squares
- markov chain
- contingency tables
- multi label learning
- image reconstruction
- multi class
- cross validation
- sparse approximation
- principal component analysis
- linear combination
- generalized linear models
- signal processing
- upper confidence bound
- neural network