90 search results - page 1 / 18 » Distributed Message Passing for Large Scale Graphical Models |
101
Voted
CVPR
2011
IEEE
14 years 7 months ago
2011
IEEE
In this paper we propose a distributed message-passing algorithm for inference in large scale graphical models. Our method can handle large problems efficiently by distributing a...
106
Voted
TSP
2012
13 years 5 months ago
2012
—We consider distributed estimation of the inverse covariance matrix in Gaussian graphical models. These models factorize the multivariate distribution and allow for efficient d...
101
Voted
CORR
2010
Springer
14 years 8 months ago
2010
Springer
This paper surveys recent work in applying ideas from graphical models and message passing algorithms to solve large scale regularized regression problems. In particular, the focu...
113
Voted
CVPR
2011
IEEE
14 years 6 months ago
2011
IEEE
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
116
Voted
WAN
1998
Springer
15 years 1 months ago
1998
Springer
We present a model for the parallel performance of algorithms that consist of concurrent, two-dimensional wavefronts implemented in a message passing environment. The model combine...