Bayesian Inference of Total Least-Squares With Known Precision.

Dominik Friml Pavel Václavek

Published in: CDC (2022)

Keyphrases

bayesian inference
total least squares
prior distribution
image restoration
probabilistic model
prior information
regularized least squares
interior point methods
hyperparameters
markov networks
particle filter
coefficient matrix
super resolution
gaussian process
semidefinite programming