1023 search results - page 124 / 205 » Graph model selection using maximum likelihood |
IJCV
2002
13 years 9 months ago
2002
Instantaneous camera motion estimation is an important research topic in computer vision. Although in theory more than five points uniquely determine the solution in an ideal situa...
JMLR
2010
13 years 4 months ago
2010
We show how a preselection of hidden variables can be used to efficiently train generative models with binary hidden variables. The approach is based on Expectation Maximization (...
NIPS
1998
13 years 11 months ago
1998
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
IROS
2009
IEEE
14 years 4 months ago
2009
IEEE
— This paper describes a model-based probabilistic framework for tracking a fleet of laboratory-scale underwater vehicles using multiple fixed cameras. We model the target moti...
ICPR
2000
IEEE
14 years 11 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...