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AAAI
2000
13 years 9 months ago
Bayesian Fault Detection and Diagnosis in Dynamic Systems
This paper addresses the problem of tracking and diagnosing complex systems with mixtures of discrete and continuous variables. This problem is a difficult one, particularly when ...
Uri Lerner, Ronald Parr, Daphne Koller, Gautam Bis...
ICA
2004
Springer
14 years 1 months ago
Post-nonlinear Independent Component Analysis by Variational Bayesian Learning
Post-nonlinear (PNL) independent component analysis (ICA) is a generalisation of ICA where the observations are assumed to have been generated from independent sources by linear mi...
Alexander Ilin, Antti Honkela
ENGL
2008
133views more  ENGL 2008»
13 years 7 months ago
Cycle Time Forecasting Models for Defect Inspection Process in TFT-LCD Module Assembly
Because most of the procedures in defect inspection process of TFT-LCD module assembly are examined manually through human vision, cycle time estimation for this particular process...
Chien-wen Shen
ICANN
2010
Springer
13 years 8 months ago
Variational Bayesian Image Super-Resolution with GPU Acceleration
With the term super-resolution we refer to the problem of reconstructing an image of higher resolution than that of unregistered and degraded observations. Typically, the reconstru...
Giannis K. Chantas
ICCV
2007
IEEE
14 years 9 months ago
Learning Higher-order Transition Models in Medium-scale Camera Networks
We present a Bayesian framework for learning higherorder transition models in video surveillance networks. Such higher-order models describe object movement between cameras in the...
Ryan Farrell, David S. Doermann, Larry S. Davis