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» A Framework for Belief Update
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CVPR
2004
IEEE
16 years 2 months ago
Efficient Belief Propagation for Early Vision
Markov random field models provide a robust and unified framework for early vision problems such as stereo, optical flow and image restoration. Inference algorithms based on graph...
Pedro F. Felzenszwalb, Daniel P. Huttenlocher
87
Voted
UAI
2001
15 years 1 months ago
Aggregating Learned Probabilistic Beliefs
We consider the task of aggregating beliefs of several experts. We assume that these beliefs are represented as probability distributions. We argue that the evaluation of any aggr...
Pedrito Maynard-Reid II, Urszula Chajewska
JMLR
2006
148views more  JMLR 2006»
15 years 13 days ago
Walk-Sums and Belief Propagation in Gaussian Graphical Models
We present a new framework based on walks in a graph for analysis and inference in Gaussian graphical models. The key idea is to decompose the correlation between each pair of var...
Dmitry M. Malioutov, Jason K. Johnson, Alan S. Wil...
92
Voted
AMAI
2002
Springer
15 years 10 days ago
Nonmonotonicity and Compatibility Relations in Belief Structures
: We concern ourselves with the situation Here we investigate an extension of the basic concept of in which we use the Dempster-Shafer belief structure to a compatibility relation ...
Ronald R. Yager
SBIA
2004
Springer
15 years 5 months ago
Reasoning About Requirements Evolution Using Clustered Belief Revision
During the development of system requirements, software system specifications are often inconsistent. Inconsistencies may arise for different reasons, for example, when multiple...
Odinaldo Rodrigues, Artur S. d'Avila Garcez, Aless...