372 search results - page 25 / 75 » Covariance Kernels from Bayesian Generative Models |
UAI
1997
13 years 9 months ago
1997
Robust Bayesian inference is the calculation of posterior probability bounds given perturbations in a probabilistic model. This paper focuses on perturbations that can be expresse...
ICIP
1999
IEEE
14 years 9 months ago
1999
IEEE
Deformable geometric models fit very naturally into the context of Bayesian analysis. The prior probability of boundary shapes is taken to proportional to the negative exponential...
ICB
2009
Springer
13 years 5 months ago
2009
Springer
We present generative models dedicated to face recognition. Our models consider data extracted from color face images and use Bayesian Networks to model relationships between diffe...
ICWE
2007
Springer
14 years 1 months ago
2007
Springer
In this paper, we present a fast and scalable Bayesian model for improving weakly annotated data – which is typically generated by a (semi) automated information extraction (IE) ...
ICA
2004
Springer
14 years 1 months ago
2004
Springer
Post-nonlinear (PNL) independent component analysis (ICA) is a generalisation of ICA where the observations are assumed to have been generated from independent sources by linear mi...