Sparse Kernel Regression with Coefficient-based $\ell_q-$regularization.

Lei Shi Xiaolin Huang Yunlong Feng Johan A. K. Suykens

Published in: J. Mach. Learn. Res. (2019)

Keyphrases

kernel regression
sparse representation
regression model
regularization term
norm minimization
nadaraya watson
regression methods
sparse coding
linear regression
parameter optimization
face recognition
model selection