458 search results - page 66 / 92 » Distributed Covariance Estimation in Gaussian Graphical Mode... |
ICMCS
2007
IEEE
14 years 2 months ago
2007
IEEE
We propose a new method for performing accurate background subtraction in scenes with a door, like a building entrance or a hallway. This kind of scene is common in surveillance a...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
VLSID
2005
IEEE
14 years 8 months ago
2005
IEEE
We propose a novel, non-simulative, probabilistic model for switching activity in sequential circuits, capturing both spatio-temporal correlations at internal nodes and higher ord...
BIRD
2008
Springer
13 years 9 months ago
2008
Springer
Abstract. Gaussian graphical models are widely used to tackle the important and challenging problem of inferring genetic regulatory networks from expression data. These models have...
DCC
2003
IEEE
14 years 7 months ago
2003
IEEE
The Prediction by Partial Matching (PPM) algorithm uses a cumulative frequency count of input symbols in different contexts to estimate their probability distribution. Excellent c...