235 search results - page 15 / 47 » Unsupervised Variational Bayesian Learning of Nonlinear Mode... |
AAAI
2008
13 years 11 months ago
2008
Matrix factorization algorithms are frequently used in the machine learning community to find low dimensional representations of data. We introduce a novel generative Bayesian pro...
ICASSP
2011
IEEE
13 years 26 days ago
2011
IEEE
The purpose of this paper is to develop parameter transformation strategies that improve the accuracy of the Variational Bayes (VB) approximation. The idea is to find a transform...
PAMI
2006
13 years 9 months ago
2006
We present a Bayesian method for mixture model training that simultaneously treats the feature selection and the model selection problem. The method is based on the integration of ...
JMLR
2010
13 years 4 months ago
2010
Probabilistic grammars offer great flexibility in modeling discrete sequential data like natural language text. Their symbolic component is amenable to inspection by humans, while...
ICCV
2005
IEEE
14 years 2 months ago
2005
IEEE
We address the problem of learning object class models and object segmentations from unannotated images. We introduce LOCUS (Learning Object Classes with Unsupervised Segmentation...