92 search results - page 3 / 19 » Feature significance for multivariate kernel density estimat... |
ICASSP
2008
IEEE
14 years 1 months ago
2008
IEEE
In this paper, we propose a method for robust kernel density estimation. We interpret a KDE with Gaussian kernel as the inner product between a mapped test point and the centroid ...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
We propose an approximate Bayesian approach for unsupervised feature selection and density estimation, where the importance of the features for clustering is used as the measure f...
VISAPP
2008
13 years 8 months ago
2008
In this paper we propose a method for continuous learning of simple visual concepts. The method continuously associates words describing observed scenes with automatically extracte...
NIPS
2001
13 years 8 months ago
2001
We suggest a nonparametric framework for unsupervised learning of projection models in terms of density estimation on quantized sample spaces. The objective is not to optimally re...
CVPR
2004
IEEE
14 years 9 months ago
2004
IEEE
Background modeling is an important component of many vision systems. Existing work in the area has mostly addressed scenes that consist of static or quasi-static structures. When...