458 search results - page 78 / 92 » Bayesian estimation of the Gaussian mixture GARCH model |
JMLR
2002
13 years 7 months ago
2002
A central problem in learning is selection of an appropriate model. This is typically done by estimating the unknown generalization errors of a set of models to be selected from a...
NECO
2008
13 years 7 months ago
2008
In signal restoration by Bayesian inference, one typically uses a parametric model of the prior distribution of the signal. Here, we consider how the parameters of a prior model s...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
We consider the task of under-determined reverberant audio source separation. We model the contribution of each source to all mixture channels in the time-frequency domain as a ze...
ICMCS
2006
IEEE
14 years 1 months ago
2006
IEEE
Segmentation of foreground and background has been an important research problem arising out of many applications including video surveillance. A method commonly used for segmenta...
NIPS
2004
13 years 8 months ago
2004
In this paper, we propose a new method, Parametric Embedding (PE), for visualizing the posteriors estimated over a mixture model. PE simultaneously embeds both objects and their c...