65 search results - page 10 / 13 » Kernel density estimation in adaptive tracking |
ICIP
2006
IEEE
14 years 9 months ago
2006
IEEE
We introduce a class of robust non-parametric estimation methods which are ideally suited for the reconstruction of signals and images from noise-corrupted or sparsely collected s...
NIPS
2008
13 years 9 months ago
2008
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
In this paper, we deal with the estimation of body and head poses (i.e orientations) in surveillance videos, and we make three main contributions. First, we address this issue as ...
ECCV
2002
Springer
14 years 9 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...
HPCC
2007
Springer
14 years 1 months ago
2007
Springer
In many applications, stream data are too voluminous to be collected in a central fashion and often transmitted on a distributed network. In this paper, we focus on the outlier det...