513 search results - page 12 / 103 » Bayesian Approaches to Gaussian Mixture Modeling |
AVSS
2009
IEEE
13 years 11 months ago
2009
IEEE
—Automatic understanding of human behavior is an important and challenging objective in several surveillance applications. One of the main problems of this task consists in accur...
NIPS
1998
13 years 9 months ago
1998
We present Monte-Carlo generalized EM equations for learning in nonlinear state space models. The dif
ICRA
2008
IEEE
14 years 2 months ago
2008
IEEE
— One of the key tasks during the realization of probabilistic approaches to localization is the design of a proper sensor model, that calculates the likelihood of a measurement ...
CORR
2008
Springer
13 years 7 months ago
2008
Springer
This paper presents a hierarchical Bayesian model to reconstruct sparse images when the observations are obtained from linear transformations and corrupted by an additive white Gau...
ACCV
2009
Springer
14 years 2 months ago
2009
Springer
Mixtures of Gaussians are a crucial statistical modeling tool at the heart of many challenging applications in computer vision and machine learning. In this paper, we first descri...