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ICASSP
2011
IEEE
14 years 10 months ago
A Bernoulli-Gaussian model for gene factor analysis
This paper investigates a Bayesian model and a Markov chain Monte Carlo (MCMC) algorithm for gene factor analysis. Each sample in the dataset is decomposed as a linear combination...
Cecile Bazot, Nicolas Dobigeon, Jean-Yves Tournere...
ECIS
2001
15 years 8 months ago
Model and architecture for a virtual one stop public administration
The goal of this research was to develop a model of architecture for a virtual one-stop public administration. The first part of our work was to collect data during a six-month su...
Olivier Glassey
SIBGRAPI
2008
IEEE
16 years 1 months ago
Crop Type Recognition Based on Hidden Markov Models of Plant Phenology
This work introduces a Hidden Markov Model (HMM) based technique to classify agricultural crops. The method recognizes different crops by analyzing their spectral profiles over a ...
P. B. C. Leite, Raul Queiroz Feitosa, A. R. Formag...
ICDCSW
2007
IEEE
16 years 28 days ago
Building Trust in Online Rating Systems Through Signal Modeling
Abstract— Online feedback-based rating systems are gaining popularity. Dealing with unfair ratings in such systems has been recognized as an important but difficult problem. Thi...
Yafei Yang, Yan Lindsay Sun, Jin Ren, Qing Yang
ECSQARU
2005
Springer
16 years 4 days ago
Hydrologic Models for Emergency Decision Support Using Bayesian Networks
In the presence of a river flood, operators in charge of control must take decisions based on imperfect and incomplete sources of information (e.g., data provided by a limited numb...
Martín Molina, Raquel Fuentetaja, Luis Garr...