254 search results - page 18 / 51 » Filtered Gaussian Processes for Learning with Large Data-Set... |
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
Markov Random Field (MRF) models are a popular tool for vision and image processing. Gaussian MRF models are particularly convenient to work with because they can be implemented u...
SOFSEM
2001
Springer
14 years 28 days ago
2001
Springer
Knowledge discovery, that is, to analyze a given massive data set and derive or discover some knowledge from it, has been becoming a quite important subject in several fields incl...
NIPS
2003
13 years 10 months ago
2003
Nonlinear filtering can solve very complex problems, but typically involve very time consuming calculations. Here we show that for filters that are constructed as a RBF network ...
ICIP
2005
IEEE
14 years 10 months ago
2005
IEEE
We consider the problem of image segmentation by clustering local histograms with parametric mixture-of-mixture models. These models represent each cluster by a single mixture mod...
ICIP
2007
IEEE
14 years 10 months ago
2007
IEEE
We propose a framework to learn statistical shape models for faces as piecewise linear models. Specifically, our methodology builds upon primitive active shape models(ASM) to hand...