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178
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CIMCA
2005
IEEE
16 years 14 days ago
Statistical Learning Procedure in Loopy Belief Propagation for Probabilistic Image Processing
We give a fast and practical algorithm for statistical learning hyperparameters from observable data in probabilistic image processing, which is based on Gaussian graphical model ...
Kazuyuki Tanaka
161
Voted
ECAI
2006
Springer
15 years 10 months ago
Polynomial Conditional Random Fields for Signal Processing
We describe Polynomial Conditional Random Fields for signal processing tasks. It is a hybrid model that combines the ability of Polynomial Hidden Markov models for modeling complex...
Trinh Minh Tri Do, Thierry Artières
WOA
2010
15 years 4 months ago
Documenting SODA: An Evaluation of the Process Documentation Template
This paper presents an experimental evaluation of the methodology documentation template proposed by the IEEE FIPA Design Process Documentation and Fragmentation working group [1]....
Ambra Molesini, Andrea Omicini
189
Voted
ICTAI
1996
IEEE
15 years 11 months ago
Binary CSP Solving as an Inference Process
We describe constraint solving using a rule-based approach. The distinction made between deduction rules and strategies by computational systems allows us to improve our understan...
Carlos Castro
AIPS
1994
15 years 8 months ago
Task Networks for Controlling Continuous Processes
Thispaperdescribesan extensionto the RAPsystem task-net semanticsandrepresentationlanguageto enable the effectivecontrolof continuousprocesses.The representationaddressesthe probl...
R. James Firby