513 search results - page 28 / 103 » Bayesian Approaches to Gaussian Mixture Modeling |
130
Voted
VTC
2007
IEEE
15 years 10 months ago
2007
IEEE
Abstract— Ultra-wideband (UWB) communications is envisaged to be deployed in indoor environments, where the noise distribution is decidedly non-Gaussian. A critical challenge for...
114
Voted
ICASSP
2009
IEEE
15 years 10 months ago
2009
IEEE
The Extended Baum-Welch (EBW) Transformations is one of a variety of techniques to estimate parameters of Gaussian mixture models. In this paper, we provide a theoretical framewor...
158
Voted
INFOCOM
2009
IEEE
15 years 10 months ago
2009
IEEE
—Detecting event frontline or boundary sensors in a complex sensor network environment is one of the critical problems for sensor network applications. In this paper, we propose ...
135
Voted
TSP
2008
15 years 3 months ago
2008
This paper proposes a hierarchical Bayesian model that can be used for semi-supervised hyperspectral image unmixing. The model assumes that the pixel reflectances result from linea...
143
Voted
ACL
2012
13 years 6 months ago
2012
We investigate the problem of acoustic modeling in which prior language-specific knowledge and transcribed data are unavailable. We present an unsupervised model that simultaneou...