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JMLR
2010
147views more  JMLR 2010»
14 years 12 months ago
Gaussian Processes for Machine Learning (GPML) Toolbox
The GPML toolbox provides a wide range of functionality for Gaussian process (GP) inference and prediction. GPs are specified by mean and covariance functions; we offer a library ...
Carl Edward Rasmussen, Hannes Nickisch
131
Voted
ICASSP
2011
IEEE
14 years 8 months ago
Gaussian approximation of the LLR distribution for the ML and partial marginalization MIMO detectors
We derive a Gaussian approximation of the LLR distribution conditioned on the transmitted signal and the channel matrix for the soft-output via partial marginalization MIMO detect...
Mirsad Cirkic, Daniel Persson, Erik G. Larsson, Ja...
120
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CISS
2010
IEEE
14 years 8 months ago
On models for multi-user Gaussian channels with fading
Abstract— An analytically tractable model for Gaussian multiuser channels with fading is studied, and the capacity region of this model is found to be a good approximation of the...
Rony El Haddad, Brian Smith, Sriram Vishwanath
ICIP
2008
IEEE
16 years 6 months ago
Image denoising using mixtures of Gaussian scale mixtures
Jose A. Guerrero-Colon, Eero P. Simoncelli, Javier...
122
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ICIP
2006
IEEE
16 years 6 months ago
Gaussian Mixture Modeling of Neighbor Characters for Multilingual Text Extraction in Images
Hui Fu, Xiabi Liu, Yunde Jia, Hongbin Deng