1658 search results - page 7 / 332 » Learning Mixtures of Gaussians |
ACCV
2009
Springer
15 years 4 months ago
2009
Springer
Mixtures of Gaussians are a crucial statistical modeling tool at the heart of many challenging applications in computer vision and machine learning. In this paper, we first descri...
93
Voted
NIPS
1998
14 years 11 months ago
1998
We describe a new iterative method for parameter estimation of Gaussian mixtures. The new method is based on a framework developed by Kivinen and Warmuth for supervised on-line le...
73
Voted
ICASSP
2010
IEEE
14 years 10 months ago
2010
IEEE
In this paper, we explore the use of a Gaussian posteriorgram based representation for unsupervised discovery of speech patterns. Compared with our previous work, the new approach...
93
Voted
BMEI
2009
IEEE
14 years 11 months ago
2009
IEEE
The Gaussian mixture model is a powerful statistical tool in data modeling and analysis. Generally, the EM algorithm is utilized to learn the parameters of the Gaussian mixture. Ho...
86
Voted
IJON
1998
14 years 10 months ago
1998
The learned parametric mixture method is presented for a canonical cost function based ICA model on linear mixture, with several new findings. First, its adaptive algorithm is fu...