374 search results - page 6 / 75 » Robust kernel density estimation |
ECCV
2004
Springer
14 years 11 months ago
2004
Springer
Mean shift is a nonparametric estimator of density which has been applied to image and video segmentation. Traditional mean shift based segmentation uses a radially symmetric kerne...
HUMO
2007
Springer
14 years 4 months ago
2007
Springer
In this paper, we suggest to model priors on human motion by means of nonparametric kernel densities. Kernel densities avoid assumptions on the shape of the underlying distribution...
EMMCVPR
2009
Springer
14 years 4 months ago
2009
Springer
This paper presents an approach to image filtering that is driven by the properties of the iso-valued level curves of the image and their relationship with one another. We explore...
SIAMCO
2008
13 years 9 months ago
2008
We investigate the asymptotic properties of a recursive kernel density estimator associated with the driven noise of a linear regression in adaptive tracking. We provide an almost ...
SAC
2012
ACM
12 years 5 months ago
2012
ACM
We consider kernel density estimation when the observations are contaminated by measurement errors. It is well known that the success of kernel estimators depends heavily on the c...