2190 search results - page 53 / 438 » Mixtures of Gaussian Processes |
ICML
2008
IEEE
16 years 20 days 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...
111
click to vote
ALT
2003
Springer
15 years 8 months ago
2003
Springer
In this paper, we present a kernel trick embedded Gaussian Mixture Model (GMM), called kernel GMM. The basic idea is to embed kernel trick into EM algorithm and deduce a parameter ...
100
click to vote
ICPR
2008
IEEE
15 years 6 months ago
2008
IEEE
The Gaussian mixture model (GMM) can approximate arbitrary probability distributions, which makes it a powerful tool for feature representation and classification. However, it su...
ICRA
2008
IEEE
15 years 6 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 ...
ICMCS
2005
IEEE
15 years 5 months ago
2005
IEEE
In audio fingerprinting, an audio clip must be recognized by matching an extracted fingerprint to a database of previously computed fingerprints. The fingerprints should reduc...