683 search results - page 110 / 137 » Estimating Vision Parameters given Data with Covariances |
IJCV
2000
13 years 7 months ago
2000
We propose a Bayesian framework for representing and recognizing local image motion in terms of two basic models: translational motion and motion boundaries. Motion boundaries are ...
PAMI
2008
13 years 7 months ago
2008
Recently, manifold learning has been widely exploited in pattern recognition, data analysis, and machine learning. This paper presents a novel framework, called Riemannian manifold...
Publication
In this paper, we present a system including a novel component called programmable aperture and two associated post-processing algorithms for high-quality light field acquisition. ...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Given data drawn from a mixture of multivariate Gaussians, a basic problem is to accurately estimate the mixture parameters. We give an algorithm for this problem that has running ...
CVPR
2000
IEEE
13 years 11 months ago
2000
IEEE
We present a framework for tracking rigid objects based on an adaptive Bayesian recognition technique that incorporates dependencies between object features. At each frame we fin...