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» On Fitting Mixture Models
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NIPS
2004
13 years 10 months ago
Sampling Methods for Unsupervised Learning
We present an algorithm to overcome the local maxima problem in estimating the parameters of mixture models. It combines existing approaches from both EM and a robust fitting algo...
Robert Fergus, Andrew Zisserman, Pietro Perona
MICCAI
2008
Springer
14 years 10 months ago
Discovering Structure in the Space of Activation Profiles in fMRI
We present a method for discovering patterns of activation observed through fMRI in experiments with multiple stimuli/tasks. We introduce an explicit parameterization for the profi...
Danial Lashkari, Ed Vul, Nancy Kanwisher, Polin...
ICPR
2010
IEEE
14 years 21 days ago
CDP Mixture Models for Data Clustering
—In Dirichlet process (DP) mixture models, the number of components is implicitly determined by the sampling parameters of Dirichlet process. However, this kind of models usually...
Yangfeng Ji, Tong Lin, Hongbin Zha
IJON
2006
117views more  IJON 2006»
13 years 8 months ago
EEG classification using generative independent component analysis
We present an application of Independent Component Analysis (ICA) to the discrimination of mental tasks for EEG-based Brain Computer Interface systems. ICA is most commonly used w...
Silvia Chiappa, David Barber
CSDA
2004
119views more  CSDA 2004»
13 years 8 months ago
Fitting bivariate cumulative returns with copulas
We propose a copula based statistical method of fitting joint cumulative returns between a market index and a stock from the index family to daily data. Modifying the method of in...
Werner Hürlimann