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» Learning Mixtures of Gaussians
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ICASSP
2009
IEEE
15 years 5 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 2 days 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
15 years 11 months ago
Continuous Gaussian Mixture Modeling
Stephen R. Aylward, Stephen M. Pizer
IDA
2009
Springer
15 years 5 months 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...