29 search results - page 1 / 6 » Approximate maximum likelihood hyperparameter estimation for... |
ICIP
1995
IEEE
14 years 7 months ago
1995
IEEE
PR
2002
13 years 5 months ago
2002
The satellite image deconvolution problem is ill-posed and must be regularized. Herein, we use an edge-preserving regularization model using a ' function, involving two hyper...
CIMCA
2005
IEEE
13 years 11 months ago
2005
IEEE
We give a fast and practical algorithm for statistical learning hyperparameters from observable data in probabilistic image processing, which is based on Gaussian graphical model ...
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....
IDA
2009
Springer
14 years 2 days ago
2009
Springer
Abstract. We present a Bayesian treatment of non-negative matrix factorization (NMF), based on a normal likelihood and exponential priors, and derive an efficient Gibbs sampler to ...