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FLAIRS
2008
13 years 9 months ago
Evolutionary Learning of Dynamic Naive Bayesian Classifiers
Naive Bayesian classifiers work well in data sets with independent attributes. However, they perform poorly when the attributes are dependent or when there are one or more irrelev...
Miguel A. Palacios-Alonso, Carlos A. Brizuela, Lui...
ICASSP
2011
IEEE
12 years 11 months ago
Variational Bayesian Kalman filtering in dynamical tomography
The problem of dynamical tomography consists in reconstructing a temporal sequence of images from their noisy projections. For this purpose, a recursive algorithm is usually used,...
Boujemaa Ait-El-Fquih, Thomas Rodet
ICPR
2006
IEEE
14 years 8 months ago
Switching Auxiliary Chains for Speech Recognition based on Dynamic Bayesian Networks
This paper investigates the problem of incorporating auxiliary information (e.g. pitch) for speech recognition using dynamic Bayesian networks (DBNs). Previous works usually model...
Hui Lin 0001, Zhijian Ou
ICMI
2007
Springer
199views Biometrics» more  ICMI 2007»
14 years 1 months ago
Interest estimation based on dynamic bayesian networks for visual attentive presentation agents
In this paper, we describe an interface consisting of a virtual showroom where a team of two highly realistic 3D agents presents product items in an entertaining and attractive wa...
Boris Brandherm, Helmut Prendinger, Mitsuru Ishizu...
ATAL
2008
Springer
13 years 9 months ago
Dynamic Bayesian network based interest estimation for visual attentive presentation agents
In this paper, we report on an interactive system and the results ofa formal user study that was carried out with the aim of comparing two approaches to estimating users' int...
Boris Brandherm, Helmut Prendinger, Mitsuru Ishizu...