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ESANN
2008
13 years 10 months ago
Approximation of Gaussian process regression models after training
The evaluation of a standard Gaussian process regression model takes time linear in the number of training data points. In this paper, the models are approximated in the feature sp...
Thorsten Suttorp, Christian Igel
NIPS
1998
13 years 10 months ago
Robot Docking Using Mixtures of Gaussians
This paper applies the Mixture of Gaussians probabilistic model, combined with Expectation Maximization optimization to the task of summarizing three dimensional range data for a ...
Matthew M. Williamson, Roderick Murray-Smith, Volk...
CORR
2008
Springer
73views Education» more  CORR 2008»
13 years 9 months ago
Sum Capacity of the Gaussian Interference Channel in the Low Interference Regime
New upper bounds on the sum capacity of the two-user Gaussian interference channel are derived. Using these bounds, it is shown that treating interference as noise achieves the sum...
V. Sreekanth Annapureddy, Venugopal V. Veeravalli
CORR
2008
Springer
79views Education» more  CORR 2008»
13 years 9 months ago
New Outer Bounds on the Capacity Region of Gaussian Interference Channels
Abstract-- An outer bound on the capacity region of the twouser Gaussian interference channel is derived. The bound shows that for low power and small crosstalk coefficients the su...
Xiaohu Shang, Gerhard Kramer, Biao Chen
CORR
2008
Springer
109views Education» more  CORR 2008»
13 years 8 months ago
Dependence Balance Based Outer Bounds for Gaussian Networks with Cooperation and Feedback
We obtain new outer bounds on the capacity regions of the two-user multiple access channel with generalized feedback (MAC-GF) and the two-user interference channel with generalize...
Ravi Tandon, Sennur Ulukus