34 search results - page 2 / 7 » Regularization parameter estimation for large-scale Tikhonov... |
JCB
2007
13 years 5 months ago
2007
Many bioinformatics problems can implicitly depend on estimating large-scale covariance matrix. The traditional approaches tend to give rise to high variance and low accuracy esti...
GECCO
2007
Springer
13 years 7 months ago
2007
Springer
Frequently in the physical sciences experimental data are analyzed to determine model parameters using techniques known as parameter estimation. Eliminating the effects of noise ...
ICIP
2005
IEEE
14 years 7 months ago
2005
IEEE
This paper proposes an original inhomogeneous restoration (deconvolution) model under the Bayesian framework. In this model, regularization is achieved, during the iterative resto...
IEICET
2007
13 years 5 months ago
2007
In order to obtain better generalization performance in supervised learning, model parameters should be determined appropriately, i.e., they should be determined so that the gener...
ICPR
2000
IEEE
14 years 6 months ago
2000
IEEE
The deconvolution of blurred and noisy satellite images is an ill-posed inverse problem, which can be regularized within a Bayesian context by using an a priori model of the recon...