Orthogonal Matching Pursuit for Sparse Quantile Regression.
Aleksandr Y. AravkinAurelie C. LozanoRonny LussPrabhanjan KambadurPublished in: ICDM (2014)
Keyphrases
- orthogonal matching pursuit
- quantile regression
- signal recovery
- compressed sensing
- sparse representation
- cross validated
- least squares
- transform domain
- compressive sensing
- sparse approximation
- feature selection
- cross validation
- image reconstruction
- sparse coding
- image classification
- random projections
- linear combination
- signal processing
- log likelihood
- active learning
- optical flow