1102 search results - page 3 / 221 » Density Estimation Using Mixtures of Mixtures of Gaussians |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Exploiting prior knowledge, we use Bayesian estimation to localize a source heard by a fixed sensor network. The method has two main aspects: Firstly, the probability density fun...
ESANN
2003
13 years 9 months ago
2003
Efficient probability density function estimation is of primary interest in statistics. A popular approach for achieving this is the use of finite Gaussian mixture models. Based on...
IDEAL
2004
Springer
14 years 1 months ago
2004
Springer
A Gaussian mixture model (GMM) estimates a probability density function using the expectation-maximization algorithm. However, it may lead to a poor performance or inconsistency. T...
ICASSP
2010
IEEE
13 years 8 months ago
2010
IEEE
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
PAMI
2006
13 years 7 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 ...