683 search results - page 110 / 137 » Estimating Vision Parameters given Data with Covariances |
IJCV
2000
14 years 9 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 ...
112
click to vote
PAMI
2008
14 years 9 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...
100
click to vote
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. ...
83
Voted
CORR
2010
Springer
14 years 9 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
15 years 2 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...