Noise Level Estimation in High-Dimensional Linear Models.
G. K. GolubevEkaterina A. KrymovaPublished 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