235 search results - page 10 / 47 » Unsupervised Variational Bayesian Learning of Nonlinear Mode... |
ACL
2008
15 years 1 months ago
2008
For centuries, the deep connection between languages has brought about major discoveries about human communication. In this paper we investigate how this powerful source of inform...
105
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CVPR
2008
IEEE
16 years 1 months ago
2008
IEEE
Parameterized Appearance Models (PAMs) (e.g. eigentracking, active appearance models, morphable models) use Principal Component Analysis (PCA) to model the shape and appearance of...
102
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ICONIP
2007
15 years 1 months ago
2007
Variational methods for approximate inference in machine learning often adapt a parametric probability distribution to optimize a given objective function. This view is especially ...
109
Voted
ICASSP
2010
IEEE
14 years 12 months ago
2010
IEEE
This work exploits several machine-learning techniques to address the problem of image-quality prediction of synthetic aperture sonar (SAS) imagery. The objective is to predict th...
ICML
2005
IEEE
16 years 14 days ago
2005
IEEE
The integration of diverse forms of informative data by learning an optimal combination of base kernels in classification or regression problems can provide enhanced performance w...