166 search results - page 22 / 34 » On Learning Mixtures of Heavy-Tailed Distributions |
CORR
2006
Springer
13 years 8 months ago
2006
Springer
The Minimum Description Length principle for online sequence estimation/prediction in a proper learning setup is studied. If the underlying model class is discrete, then the total...
TOIS
2010
13 years 7 months ago
2010
We propose a new unsupervised learning technique for extracting information about authors and topics from large text collections. We model documents as if they were generated by a...
ICML
2008
IEEE
14 years 9 months ago
2008
IEEE
The hierarchical Dirichlet process hidden Markov model (HDP-HMM) is a flexible, nonparametric model which allows state spaces of unknown size to be learned from data. We demonstra...
ICCS
2007
Springer
14 years 2 months ago
2007
Springer
We present a Dynamic Data Driven Application System (DDDAS) to track 2D shapes across large pose variations by learning non-linear shape manifold as overlapping, piecewise linear s...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
Cast shadows induced by moving objects often cause serious problems to many vision applications. We present in this paper an online statistical learning approach to model the backg...