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A subspace approach for shrinkage parameter selection in undersampled configuration for Regularised Tyler Estimators.
Q. Hoarau
Arnaud Breloy
Guillaume Ginolhac
Abdourrahmane M. Atto
Jean-Marie Nicolas
Published in:
ICASSP (2017)
Keyphrases
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parameter selection
adaptive regularization
model selection
feature space
kernel ridge regression
low dimensional
image denoising
principal component analysis
principal components
clustering algorithm
least squares
dimensionality reduction
image reconstruction
dimension reduction
random sampling