64 search results - page 2 / 13 » Fast Optimization for Mixture Prior Models |
JMLR
2010
13 years 5 days ago
2010
A non-parametric hierarchical Bayesian framework is developed for designing a classifier, based on a mixture of simple (linear) classifiers. Each simple classifier is termed a loc...
CVPR
2012
IEEE
11 years 7 months ago
2012
IEEE
With the recent availability of commercial light field cameras, we can foresee a future in which light field signals will be as common place as images. Hence, there is an immine...
ICIP
2004
IEEE
14 years 7 months ago
2004
IEEE
In this paper, we present a robust method for estimating the model parameters in a mixture of probabilistic principal component analyzers. This method is based on the Stochastic v...
KDD
2005
ACM
14 years 5 months ago
2005
ACM
Computer architects utilize simulation tools to evaluate the merits of a new design feature. The time needed to adequately evaluate the tradeoffs associated with adding any new fe...
ICCV
2011
IEEE
12 years 5 months ago
2011
IEEE
Learning good image priors is of utmost importance for the study of vision, computer vision and image processing applications. Learning priors and optimizing over whole images can...