1052 search results - page 37 / 211 » Combining Gaussian Mixture Models |
IDA
2007
Springer
13 years 7 months ago
2007
Springer
The performance of K-means and Gaussian mixture model (GMM) clustering depends on the initial guess of partitions. Typically, clus∗ corresponding author 1
ICC
2007
IEEE
14 years 2 months ago
2007
IEEE
Abstract— Ultra wide band (UWB) impulse radio (IR) technology calls for robust and low-complexity receiver techniques. State-of-the-art proposals are both coherent ML receivers, ...
JAIR
1998
13 years 7 months ago
1998
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
ICPR
2010
IEEE
13 years 11 months ago
2010
IEEE
—In Dirichlet process (DP) mixture models, the number of components is implicitly determined by the sampling parameters of Dirichlet process. However, this kind of models usually...
GLOBECOM
2008
IEEE
14 years 2 months ago
2008
IEEE
Nowadays, the source localization has been widely applied for wireless sensor networks. The Gaussian mixture model has been adopted for maximum-likelihood (ML) source localization ...