686 search results - page 77 / 138 » Bayesian Analysis of Linear Combiners |
ICRA
2006
IEEE
14 years 2 months ago
2006
IEEE
— This paper presents an analysis of FastSLAM— a Rao-Blackwellised particle filter formulation of simultaneous localisation and mapping. It shows that the algorithm degenerate...
IDEAL
2000
Springer
13 years 11 months ago
2000
Springer
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...
NIPS
1998
13 years 9 months ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
NECO
2008
13 years 8 months ago
2008
In signal restoration by Bayesian inference, one typically uses a parametric model of the prior distribution of the signal. Here, we consider how the parameters of a prior model s...
CVPR
2001
IEEE
14 years 10 months ago
2001
IEEE
To utilize CT or MRI images for computer aided diagnosis applications, robust features that represent 3-D image data need to be constructed and subsequently used by a classificati...