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ICML
2005
IEEE
14 years 6 months ago
Discriminative versus generative parameter and structure learning of Bayesian network classifiers
In this paper, we compare both discriminative and generative parameter learning on both discriminatively and generatively structured Bayesian network classifiers. We use either ma...
Franz Pernkopf, Jeff A. Bilmes
JMLR
2010
140views more  JMLR 2010»
13 years 23 days ago
Learning Non-Stationary Dynamic Bayesian Networks
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
Joshua W. Robinson, Alexander J. Hartemink
ICASSP
2011
IEEE
12 years 9 months ago
Hidden Discrete Tempo Model: A tempo-aware timing model for audio-to-score alignment
In this paper, we present the Hidden Discrete Tempo Model, an effective Dynamic Bayesian Network for audio to score matching. Its main feature is an explicit modeling of tempo, wh...
Cyril Joder, Slim Essid, Gaël Richard
ICCV
2009
IEEE
13 years 3 months ago
Robust dynamical model for simultaneous registration and segmentation in a variational framework: A Bayesian approach
We introduce a dynamical model for simultaneous registration and segmentation in a variational framework for image sequences, where the dynamics is incorporated using a Bayesian f...
Pratim Ghosh, Mehmet Emre Sargin, Bangalore S. Man...
ICASSP
2011
IEEE
12 years 9 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