Probabilistic models in noisy environments : and their application to a visual prosthesis for the blind

Probabilistic models in noisy environments : and their application to a visual prosthesis for the blind

In recent years, probabilistic models have become fundamental techniques in machine learning. They are successfully applied in various engineering problems, such as robotics, biometrics, brain-computer interfaces or artificial vision, and will gain in importance in the near future. This work deals w...

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Bibliographic Details
Main Author: Archambeau, Cédric
Format: Others
Language:en
Published: Universite catholique de Louvain 2005
Subjects:
Visual prosthesis
Nonparameteric density estimation
Optic nerve
Variational Bayes
Expectation-maximization
Bayesian learning
Finite mixture models
Rehabilitation
Geodesics
Manifold constrained models
Regularization networks
Probabilistic graphical models
Latent variable models
Robustness to noise
Online Access:http://edoc.bib.ucl.ac.be:81/ETD-db/collection/available/BelnUcetd-09212005-155034/

Internet

http://edoc.bib.ucl.ac.be:81/ETD-db/collection/available/BelnUcetd-09212005-155034/

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