256 search results - page 33 / 52 » Uncertainties in Bayesian Geometric Models |
109
Voted
IWCM
2004
Springer
15 years 5 months ago
2004
Springer
We present a variational approach for segmenting the image plane into regions of piecewise parametric motion given two or more frames from an image sequence. Our model is based on ...
ICML
2005
IEEE
16 years 1 months ago
2005
IEEE
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
DIS
2004
Springer
15 years 4 months ago
2004
Springer
Bayesian classifiers such as Naive Bayes or Tree Augmented Naive Bayes (TAN) have shown excellent performance given their simplicity and heavy underlying independence assumptions....
132
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JCIT
2010
14 years 7 months ago
2010
Probability theory is the framework for making decision under uncertainty. In classification, Bayes' rule is used to calculate the probabilities of the classes and it is a bi...
102
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IRI
2007
IEEE
15 years 6 months ago
2007
IEEE
We present a software defect prediction model using operating characteristic curves. The main idea behind our proposed technique is to use geometric insight in helping construct a...