Linear regression with random projections.
Odalric-Ambrym MaillardRémi MunosPublished in: J. Mach. Learn. Res. (2012)
Keyphrases
- linear regression
- random projections
- least squares
- dimensionality reduction
- compressive sensing
- dimension reduction
- sparse representation
- image reconstruction
- random sampling
- low dimensional
- original data
- ridge regression
- regression methods
- principal component analysis
- hash functions
- locally weighted
- image sequences
- image processing
- data sets