166 search results - page 1 / 34 » On Learning Mixtures of Heavy-Tailed Distributions |
FOCS
2005
IEEE
13 years 10 months ago
2005
IEEE
We consider the problem of learning mixtures of arbitrary symmetric distributions. We formulate sufficient separation conditions and present a learning algorithm with provable gua...
NECO
2002
13 years 4 months ago
2002
In the presence of a heavy-tail noise distribution, regression becomes much more di cult. Traditional robust regression methods assume that the noise distribution is symmetric and...
ICIP
2007
IEEE
14 years 6 months ago
2007
IEEE
Gaussian mixture models have been widely used in image segmentation. However, such models are sensitive to outliers. In this paper, we consider a robust model for image segmentati...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
This paper addresses the problem of estimating the statistical distribution of multiple-tissue non-stationary ultrasound images of skin. The distribution of multiple-tissue images...
Presentation
Presentation of the exponential families, of the mixtures of such distributions and how to learn it. We then present algorithms to simplify mixture model, using Kullback-Leibler di...