1052 search results - page 103 / 211 » Combining Gaussian Mixture Models |
ICASSP
2009
IEEE
14 years 5 months ago
2009
IEEE
We investigate a hybrid method which improves the quality of state inference and parameter estimation in blind deconvolution of a sparse source modeled by a Bernoulli-Gaussian pro...
MOBIHOC
2009
ACM
14 years 10 months ago
2009
ACM
In this paper, we present a Gaussian mixture model based approach to capture the spatial characteristics of any target signal in a sensor network, and further propose a temporally...
ACL
2012
12 years 18 days ago
2012
Statistical machine translation is often faced with the problem of combining training data from many diverse sources into a single translation model which then has to translate se...
ICPR
2008
IEEE
14 years 11 months ago
2008
IEEE
In many vision problems, instead of having fully annotated training data, it is easier to obtain just a subset of data with annotations, because it is less restrictive for the use...
CIARP
2009
Springer
14 years 4 months ago
2009
Springer
When we look at images taken from outdoor scenes, much of the information perceived is due to the ligthing conditions. In these scenes, the solar beams interact with the atmosphere...