160 search results - page 1 / 32 » Maximum a posteriori based regularization parameter selectio... |
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
The 1 norm regularized least square technique has been proposed as an efficient method to calculate sparse solutions. However, the choice of the regularization parameter is still...
ICIP
2005
IEEE
14 years 6 months ago
2005
IEEE
In this paper we propose a new hierarchical non stationary image prior for image restoration. This prior captures the directional edges using a continuous model and regularizes acc...
PAMI
2010
13 years 3 months ago
2010
—Adapting the hyperparameters of support vector machines (SVMs) is a challenging model selection problem, especially when flexible kernels are to be adapted and data are scarce....
CVPR
2003
IEEE
14 years 6 months ago
2003
IEEE
In addition to its technical merits as a challenging non-rigid motion and structural integrity analysis problem, quantitative estimation of cardiac regional functions and material...
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
Recently proposed l1-regularized maximum-likelihood optimization methods for learning sparse Markov networks result into convex problems that can be solved optimally and efficien...