374 search results - page 16 / 75 » Robust kernel density estimation |
IBPRIA
2007
Springer
13 years 11 months ago
2007
Springer
In this paper we present a non parametric density-based data reduction technique designed to be used in robust parameter estimation problems. Existing approaches are focused on red...
ECCV
2002
Springer
14 years 12 months ago
2002
Springer
We present a variational integration of nonlinear shape statistics into a Mumford?Shah based segmentation process. The nonlinear statistics are derived from a set of training silho...
CIVR
2005
Springer
14 years 3 months ago
2005
Springer
This paper describes a simple framework for automatically annotating images using non-parametric models of distributions of image features. We show that under this framework quite ...
ACML
2009
Springer
14 years 4 months ago
2009
Springer
Many regression schemes deliver a point estimate only, but often it is useful or even essential to quantify the uncertainty inherent in a prediction. If a conditional density estim...
EGITALY
2006
13 years 11 months ago
2006
In this paper, a new segmentation approach for sets of 3D unorganized points is proposed. The method is based on a clustering procedure that separates the modes of a non-parametri...