1658 search results - page 37 / 332 » Learning Mixtures of Gaussians |
ICASSP
2010
IEEE
14 years 11 months ago
2010
IEEE
Although research has previously been done on multilingual speech recognition, it has been found to be very difficult to improve over separately trained systems. The usual approa...
71
Voted
IDA
2007
Springer
14 years 10 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
102
Voted
ICIP
2001
IEEE
16 years 13 days ago
2001
IEEE
This paper introduces a new generalisation of scale-space and pyramids, which combines statistical modelling with a spatial representation. The representation uses the familiar co...
IDEAL
2004
Springer
15 years 4 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...
PAMI
1998
14 years 10 months ago
1998
—A Bayesian-based methodology is presented which automatically penalizes overcomplex models being fitted to unknown data. We show that, with a Gaussian mixture model, the approac...