35 search results - page 1 / 7 » Robust estimation of gaussian mixtures from noisy input data |
CVPR
2008
IEEE
14 years 6 months ago
2008
IEEE
We propose a variational bayes approach to the problem of robust estimation of gaussian mixtures from noisy input data. The proposed algorithm explicitly takes into account the un...
BMVC
2010
13 years 2 months ago
2010
Gaussian processes have been widely used as a method for inferring the pose of articulated bodies directly from image data. While able to model complex non-linear functions, they ...
ICCV
1999
IEEE
13 years 8 months ago
1999
IEEE
We describe an effective and novel approach to infer sign and direction of principal curvatures at each input site from noisy 3D data. Unlike most previous approaches, no local su...
ICIP
2006
IEEE
14 years 6 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...
VISAPP
2007
13 years 5 months ago
2007
In this paper, we address the problem of robustly recovering several instances of a curve model from a single noisy data set with outliers. Using M-estimators revisited in a Lagran...