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» Learning Mixtures of Gaussians
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ICASSP
2009
IEEE
16 years 1 months ago
Bounded conditional mean imputation with Gaussian mixture models: A reconstruction approach to partly occluded features
In this work we show how conditional mean imputation can be bounded through the use of box-truncated Gaussian distributions. That is of interest when signals or features are partl...
Friedrich Faubel, John W. McDonough, Dietrich Klak...
ICPR
2006
IEEE
16 years 7 months ago
Gaussian mixture pdf in one-class classification: computing and utilizing confidence values
In this study a confidence measure for probability density functions (pdfs) is presented. The measure can be used in one-class classification to select a pdf threshold for class i...
Jarmo Ilonen, Pekka Paalanen, Joni-Kristian Kamara...
IPMI
1997
Springer
16 years 7 months ago
Continuous Gaussian Mixture Modeling
Stephen R. Aylward, Stephen M. Pizer
IDA
2009
Springer
16 years 26 days ago
Probabilistic Formulation of Independent Vector Analysis Using Complex Gaussian Scale Mixtures
We propose a probabilistic model for the Independent Vector Analysis approach to blind deconvolution and derive an asymptotic Newton method to estimate the model by Maximum Likelih...
Jason A. Palmer, Kenneth Kreutz-Delgado, Scott Mak...