174 search results - page 2 / 35 » Gaussian Mixture Model with Local Consistency |
FOCS
1999
IEEE
13 years 9 months ago
1999
IEEE
Mixtures of Gaussians are among the most fundamental and widely used statistical models. Current techniques for learning such mixtures from data are local search heuristics with w...
ICASSP
2011
IEEE
12 years 8 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...
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
EM algorithm is a very popular iteration-based method to estimate the parameters of Gaussian Mixture Model from a large observation set. However, in most cases, EM algorithm is no...
ICRA
2008
IEEE
13 years 11 months ago
2008
IEEE
— One of the key tasks during the realization of probabilistic approaches to localization is the design of a proper sensor model, that calculates the likelihood of a measurement ...
ECCV
2006
Springer
14 years 6 months ago
2006
Springer
In this paper we present a new density estimation algorithm using mixtures of mixtures of Gaussians. The new algorithm overcomes the limitations of the popular Expectation Maximiza...