The generalized lasso is reducible to a subspace constrained lasso.
Hao XuDavid J. EisPeter J. RamadgePublished in: ICASSP (2013)
Keyphrases
- regularized regression
- linear regression
- variable selection
- model selection
- least squares
- feature selection
- sparse representation
- cross validation
- regularization parameter
- data sets
- group lasso
- principal component analysis
- low dimensional
- dimensionality reduction
- image restoration
- elastic net
- ridge regression
- sample size
- regression coefficients
- feature extraction
- generalized linear models
- high dimensional data
- constrained optimization
- logistic regression
- signal processing
- evolutionary algorithm
- data analysis
- genetic algorithm
- neural network