Tikhonov regularization and prior information in electrical impedance tomography.
Marko VauhkonenDénes VadászPasi A. KarjalainenErkki SomersaloJari P. KaipioPublished in: IEEE Trans. Medical Imaging (1998)
Keyphrases
- prior information
- tikhonov regularization
- transmission line
- regularization parameter
- hyperparameters
- image restoration
- preconditioned conjugate gradient
- reproducing kernel hilbert space
- image reconstruction
- prior knowledge
- vector valued
- bayesian inference
- least squares
- super resolution
- gaussian process
- regularization term
- learning theory
- total variation
- cross validation
- markov random field
- gaussian kernels
- data sets
- kernel matrix
- high resolution
- pairwise
- training set
- feature space
- machine learning