Sparse representation based spectral regression.
Guo-Xian YuZhiwen YuJing HuaXuan LiJane YouPublished in: ICMLC (2011)
Keyphrases
- regression model
- sparse representation
- subspace learning
- dictionary learning
- linear regression
- regression algorithm
- polynomial regression
- regression analysis
- classification algorithm
- model selection
- support vector regression
- gaussian processes
- regression problems
- spectral analysis
- spectral features
- regression methods
- ridge regression
- locally weighted
- multispectral images
- data analysis
- regression function
- data sets
- spectral decomposition
- hyperspectral imagery
- spatial frequency
- compressive sensing
- sparse coding
- support vector