Noise Level Estimation in High-Dimensional Linear Models.

G. K. Golubev Ekaterina A. Krymova

Published in: Probl. Inf. Transm. (2018)

Keyphrases

linear models
noise level
variable selection
high dimensional
additive models
noisy images

linear model
noise reduction
hyperparameters
gaussian processes
error rate
low dimensional

high dimensional data
dimension reduction
dimensionality reduction
cross validation
linear regression
parameter space

data points
image sequences
image denoising
least squares
causal relationships
training data