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» Methods for merging Gaussian mixture components
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JMLR
2011
148views more  JMLR 2011»
14 years 4 months ago
Bayesian Generalized Kernel Mixed Models
We propose a fully Bayesian methodology for generalized kernel mixed models (GKMMs), which are extensions of generalized linear mixed models in the feature space induced by a repr...
Zhihua Zhang, Guang Dai, Michael I. Jordan
ICASSP
2009
IEEE
15 years 4 months ago
Fast acoustic computations using graphics processors
In this paper we present a fast method for computing acoustic likelihoods that makes use of a Graphics Processing Unit (GPU). After enabling the GPU acceleration the main processo...
Paul R. Dixon, Tasuku Oonishi, Sadaoki Furui
IDA
2009
Springer
15 years 2 months ago
Image Source Separation Using Color Channel Dependencies
We investigate the problem of source separation in images in the Bayesian framework using the color channel dependencies. As a case in point we consider the source separation of co...
Koray Kayabol, Ercan E. Kuruoglu, Bülent Sank...
ICIP
2001
IEEE
15 years 11 months ago
Adaptive video background modeling using color and depth
Copyright 2001 IEEE. Published in the 2001 International Conference on Image Processing (ICIP-2001), October 7-10, 2001, Thessaloniki, Greece. Personal use of this material is per...
Gaile G. Gordon, John Woodfill, Michael Harville
CLASSIFICATION
2006
108views more  CLASSIFICATION 2006»
14 years 9 months ago
The Practice of Cluster Analysis
Abstracts "Mixtures at the Interface" David Scott, Rice University Mixture modeling provides an effective framework for complex, high-dimensional data. The potential of m...
Jon R. Kettenring