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» Distributed Message Passing for Large Scale Graphical Models
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CVPR
2011
IEEE
13 years 4 months ago
Distributed Message Passing for Large Scale Graphical Models
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...
Alexander Schwing, Hazan Tamir, Marc Pollefeys, Ra...
TSP
2012
12 years 2 months ago
Distributed Covariance Estimation in Gaussian Graphical Models
—We consider distributed estimation of the inverse covariance matrix in Gaussian graphical models. These models factorize the multivariate distribution and allow for efficient d...
Ami Wiesel, Alfred O. Hero
CORR
2010
Springer
171views Education» more  CORR 2010»
13 years 5 months ago
Graphical Models Concepts in Compressed Sensing
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...
Andrea Montanari
CVPR
2011
IEEE
13 years 3 months ago
Learning Message-Passing Inference Machines for Structured Prediction
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
Stephane Ross, Daniel Munoz, J. Andrew Bagnell
WAN
1998
Springer
13 years 11 months ago
Performance Analysis of Wavefront Algorithms on Very-Large Scale Distributed Systems
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...
Adolfy Hoisie, Olaf M. Lubeck, Harvey J. Wasserman