102 search results - page 2 / 21 » Efficiently Learning Mixtures of Two Gaussians |
ICCV
2005
IEEE
14 years 6 months ago
2005
IEEE
This paper proposes a novel and robust approach to the point set registration problem in the presence of large amounts of noise and outliers. Each of the point sets is represented...
COLT
2010
Springer
13 years 2 months ago
2010
Springer
In recent years analysis of complexity of learning Gaussian mixture models from sampled data has received significant attention in computational machine learning and theory commun...
MLMI
2004
Springer
13 years 10 months ago
2004
Springer
Speaker indexing has recently emerged as an important task due to the rapidly growing volume of audio archives. Current filtration techniques still suffer from problems both in acc...
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...
ESANN
2003
13 years 6 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...