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JMLR
2010
147views more  JMLR 2010»
13 years 3 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
ICASSP
2011
IEEE
13 years 15 days 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...
CISS
2010
IEEE
13 years 12 days 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
14 years 10 months ago
Image denoising using mixtures of Gaussian scale mixtures
Jose A. Guerrero-Colon, Eero P. Simoncelli, Javier...