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INCORPORATION OF UNRELIABLE INFORMATION INTO PHOTOGRAMMETRIC RECONSTRUCTION FOR RECOVERY OF SCALE USING NON-PARAMETRIC BELIEF PROPAGATION
Sensor Fusion Belief Propagation Photogrammetry Barometer GNSS
2016/11/11
The creation of large photogrammetric models often encounter several difficulties in regards to geometric accuracy, scale and geolocation, especially when not using control points. Geometric accuracy ...
Structured Learning for Taxonomy Induction with Belief Propagation
Structured Learning Taxonomy Induction Belief Propagation
2016/1/22
We present a structured learning approach to inducing hypernym taxonomies using a probabilistic graphical model formulation.Our model incorporates heterogeneous re-lational evidence about both hyperny...
MAP SOURCE SEPARATION USING BELIEF PROPAGATION NETWORKS
MAP SOURCE SEPARATION BELIEF PROPAGATION NETWORKS
2015/9/29
In this paper we continue our treatment of source separation based on dynamic sparse source signal models. Source signals are modeled in frequency domain as a product of a Bernoulli selection variable...
Analysis of Belief Propagation for Non-Linear Problems: The Example of CDMA (or: How to Prove Tanaka’s Formula)
Binary signal and white gaussian noise spread sequence scheme of linear time
2015/8/21
We consider the CDMA (code-division multipleaccess) multi-user detection problem for binary signals and additive white gaussian noise. We propose a spreading sequences scheme based on random sparse si...
Scaling MCMC Inference and Belief Propagation to Large, Dense Graphical Models
machine learning graphical models
2014/12/18
With the physical constraints of semiconductor-based electronics becoming increasingly limiting in the past decade, single-core CPUs have given way to multi-core and distributed computing platforms. A...
Local stability of Belief Propagation algorithm with multiple fixed points
Local stability Belief Propagation algorithm multiple fixed points
2012/9/19
A number of problems in statistical physics and computer science can be expressed as the computation of marginal probabilities over a Markov random field. Belief propagation, an iterative message-pass...
Adaptive Image Deblurring via Tanner Graph Representation and Belief Propagation
Adaptive Representation Belief Propagation
2013/7/24
Image deblurring aims to counteract the effect of point spread function (PSF) inimperfect image formation system. Conventional solutions include frequency-domainapproaches (e.g. Wiener filtering...
Belief-propagation-based joint channel estimation and decoding for spectrally efficient communication over unknown sparse channels
belief propagation message passing compressive sensing compressed sensing
2011/2/24
We consider spectrally-efficient communication over a Rayleigh N-block-fading channel with a K-
sparse L-length discrete-time impulse response (for 0ere neither the transmitter nor
receiv...
Belief Propagation Algorithm for Portfolio Optimization Problems
Belief Propagation Algorithm Portfolio Optimization Problems
2010/10/21
The typical behavior of optimal solutions to portfolio optimization problems with absolute deviation and expected shortfall models using replica analysis was pioneeringly estimated by S. Ciliberti and...
A Simple Scheme for Belief Propagation Decoding of BCH and RS Codes in Multimedia Transmissions
Belief Propagation Decoding BCH RS Codes Multimedia Transmissions
2009/9/2
Classic linear block codes, like Bose-Chaudhuri-Hocquenghem (BCH) and Reed-Solomon (RS) codes, are widely used in multimedia transmissions, but their soft-decision decoding still represents an open is...
Fixing Convergence of Gaussian Belief Propagation
Fixing Convergence Gaussian Belief Propagation
2010/3/17
Gaussian belief propagation (GaBP) is an iterative
message-passing algorithm for inference in Gaussian graphical
models. It is known that when GaBP converges it converges to the
correct MAP estimat...
该文首先通过仿真证明了LDPC(Low Density Parity Check code)在分组衰落信道下,以通常的Belief-propagation算法译码,具有较好性能.然后基于算法的特殊迭代特性,提出分组衰落信道下,在每一迭代步骤中结合信道估计的改进的Belief-propagation算法.仿真证明,该算法可以有效地减少译码迭代次数.