458 search results - page 63 / 92 » Distributed Covariance Estimation in Gaussian Graphical Mode... |
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
We present an example of a joint spatial and temporal task learning algorithm that results in a generative model that has applications for on-line visual control. We review work o...
NECO
2008
13 years 7 months ago
2008
In signal restoration by Bayesian inference, one typically uses a parametric model of the prior distribution of the signal. Here, we consider how the parameters of a prior model s...
SIAMJO
2010
13 years 2 months ago
2010
We propose a Newton-CG primal proximal point algorithm for solving large scale log-determinant optimization problems. Our algorithm employs the essential ideas of the proximal poi...
ICDM
2006
IEEE
14 years 1 months ago
2006
IEEE
— Log-linear models are widely used for labeling feature vectors and graphical models, typically to estimate robust conditional distributions in presence of a large number of pot...
ECCV
2010
Springer
14 years 1 months ago
2010
Springer
We present an analysis of the spatial covariance structure of an articulated motion prior in which joint angles have a known covariance structure. From this, a well-known, but ofte...