957 search results - page 5 / 192 » Conditional Density Estimation with Class Probability Estima... |
ICRA
2009
IEEE
13 years 5 months ago
2009
IEEE
Although RANSAC is the most widely used robust estimator in computer vision, it has certain limitations making it ineffective in some situations, such as the motion estimation prob...
Publication
We present a class of models that, via a simple construction,
enables exact, incremental, non-parametric, polynomial-time,
Bayesian inference of conditional measures. The approac...
MCS
2000
Springer
13 years 11 months ago
2000
Springer
The use of multiple features by a classifier often leads to a reduced probability of error, but the design of an optimal Bayesian classifier for multiple features is dependent on t...
ICPR
2008
IEEE
14 years 8 months ago
2008
IEEE
In kernel density estimation methods, an approximation of the data probability density function is achieved by locating a kernel function at each data location. The smoothness of ...
JMLR
2006
13 years 7 months ago
2006
In many pattern recognition/classification problem the true class conditional model and class probabilities are approximated for reasons of reducing complexity and/or of statistic...