Automatic architecture selection for probability density function estimation in computer vision
In this thesis, the problem of probability density function estimation using finite mixture models is considered. Gaussian mixture modelling is used to provide a semi-parametric density estimate for a given data set. The fundamental problem with this approach is that the number of mixtures required...
| Main Author: | |
|---|---|
| Published: |
University of Surrey
2002
|
| Subjects: | |
| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.250784 |