Signal extraction approach for sparse multivariate response regression.
Ruiyan LuoXin QiPublished in: J. Multivar. Anal. (2017)
Keyphrases
- regression model
- signal recovery
- compressive sensing
- sparse bayesian learning
- signal reconstruction
- signal processing
- compressive sampling
- canonical correlation analysis
- sparse regression
- relevance vector machine
- linear transform
- sparse kernel
- non stationary
- support vector regression
- multivariate regression
- high dimensional
- compressed sensing
- information extraction
- frequency domain
- regression problems
- gaussian processes
- sparse approximations
- multivariate data
- covariance function
- high frequency
- linear regression
- image processing
- support vector machine
- genetic programming
- model selection
- sparse representation
- signal detection
- regression analysis
- regression methods
- gaussian process
- automatic extraction
- regression method
- random projections