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IJON
2010
138views more  IJON 2010»
13 years 8 months ago
A dynamic Bayesian network to represent discrete duration models
Originally devoted to specific applications such as biology, medicine and demography, duration models are now widely used in economy, finance or reliability. Recent works in var...
Roland Donat, Philippe Leray, Laurent Bouillaut, P...
IJON
2010
189views more  IJON 2010»
13 years 8 months ago
Inference and parameter estimation on hierarchical belief networks for image segmentation
We introduce a new causal hierarchical belief network for image segmentation. Contrary to classical tree structured (or pyramidal) models, the factor graph of the network contains...
Christian Wolf, Gérald Gavin
SSPR
2010
Springer
13 years 8 months ago
Non-parametric Mixture Models for Clustering
Mixture models have been widely used for data clustering. However, commonly used mixture models are generally of a parametric form (e.g., mixture of Gaussian distributions or GMM),...
Pavan Kumar Mallapragada, Rong Jin, Anil K. Jain
FPL
2010
Springer
170views Hardware» more  FPL 2010»
13 years 8 months ago
IP Based Configurable SIMD Massively Parallel SoC
Significant advances in the field of configurable computing have enabled parallel processing within a single FieldProgrammable Gate Array (FPGA) chip. This paper presents the imple...
Mouna Baklouti, Mohamed Abid, Philippe Marquet, Je...
INTERSPEECH
2010
13 years 4 months ago
On speaker adaptive training of artificial neural networks
In the paper we present two techniques improving the recognition accuracy of multilayer perceptron neural networks (MLP ANN) by means of adopting Speaker Adaptive Training. The us...
Jan Trmal, Jan Zelinka, Ludek Müller