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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… 
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Related topics

Related topics

15 relations
Bayesian networkBayesian programmingBelief propagationCode

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Monaural Multi-Talker Speech Recognition using Factorial Speech Processing Models
2016
2016
Multi-UAVs network communication study for distributed visual simultaneous localization and mapping
In this paper, the problem of multi-UAVs (Unmanned Arial Vehicles) Visual Simultaneous Localization and Mapping (SLAM) is… 
2015
2015
Limits of discrete distributions and Gibbs measures on random graphs
2014
2014
Symbol-based BP detection for MIMO systems associated with non-binary LDPC codes
In this paper, an efficient iterative receiver for digital communication systems is investigated. It combines a Non-Binary Low… 
2013
2013
Weakly Supervised Learning of Mid-Level Features with Beta-Bernoulli Process Restricted Boltzmann Machines
The use of semantic attributes in computer vision problems has been gaining increased popularity in recent years. Attributes… 
2010
2010
Hybrid GNSS-Terrestrial Cooperative Positioning via Distributed Belief Propagation
Cooperative positioning algorithms have been recently introduced to overcome the limitations of traditional methods, relying on… 
2010
2010
An improved physical layer network coding scheme for two-way relay systems
In this paper we consider a two-way relaying system with two sources A, B and one relay R, where the two sources desire to… 
Highly Cited
2009
Highly Cited
2009
Fountain codes over fading relay channels
This paper discusses cooperative protocols based on fountain codes in a relay network. Unlike traditional fixed-rate codes… 
2007
2007
Iterative Channel Estimation, Equalization, and Decoding for Pilot-Symbol Assisted Modulation Over Frequency Selective Fast Fading Channels
A pilot-based channel estimation scheme is proposed for frequency selective Rayleigh fading channels which work in conjunction… 
2004
2004
Relational Markov Networks for Collective Information Extraction
Most information extraction (IE) systems treat separate potential extractions as independent. However, in many cases, considering… 
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