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Factor graph

Known as: Factor Graphs 
A factor graph is a bipartite graph representing the factorization of a function. In probability theory and its applications, factor graphs are used… Expand
Wikipedia

Papers overview

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Highly Cited
2016
Highly Cited
2016
In this paper, we propose a new ensemble clustering approach termed ensemble clustering using factor graph (ECFG). Compared to… Expand
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Highly Cited
2016
Highly Cited
2016
Deep Recurrent Neural Network architectures, though remarkably capable at modeling sequences, lack an intuitive high-level spatio… Expand
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Highly Cited
2014
Highly Cited
2014
This paper reports on a generic factor-based method for node removal in factor-graph simultaneous localization and mapping (SLAM… Expand
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Highly Cited
2013
Highly Cited
2013
Abstract This paper presents a new approach for high-rate information fusion in modern inertial navigation systems, that have a… Expand
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Highly Cited
2009
Highly Cited
2009
Discriminatively trained undirected graphical models have had wide empirical success, and there has been increasing interest in… Expand
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Highly Cited
2007
Highly Cited
2007
The message-passing approach to model-based signal processing is developed with a focus on Gaussian message passing in linear… Expand
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Highly Cited
2007
Highly Cited
2007
  • Justin Dauwels
  • IEEE International Symposium on Information…
  • 2007
  • Corpus ID: 15277096
In this paper, it is shown how (naive and structured) variational algorithms may be derived from a factor graph by mechanically… Expand
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Highly Cited
2004
Highly Cited
2004
Graphical models such as factor graphs allow a unified approach to a number of key topics in coding and signal processing such as… Expand
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Highly Cited
2002
Highly Cited
2002
 
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Highly Cited
2001
Highly Cited
2001
Iterative algorithms are an attractive approach to approximating optimal, but high-complexity, joint channel estimation and… Expand
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