Penalized linear regression for discrete ill-posed problems: A hybrid least-squares and mean-squared error approach.
Mohamed SulimanTarig BallalAbla KammounTareq Y. Al-NaffouriPublished in: EUSIPCO (2016)
Keyphrases
- least squares
- linear regression
- regression problems
- parameter estimation
- regression methods
- robust estimation
- ridge regression
- linear regression model
- locally weighted
- regression method
- kernel regression
- linear model
- generalized linear models
- optical flow
- multivariate regression
- nonlinear regression
- linear models
- maximum likelihood
- training data
- computer vision