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ICML
2009
IEEE
15 years 4 months ago
Using fast weights to improve persistent contrastive divergence
The most commonly used learning algorithm for restricted Boltzmann machines is contrastive divergence which starts a Markov chain at a data point and runs the chain for only a few...
Tijmen Tieleman, Geoffrey E. Hinton
83
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CGF
2006
94views more  CGF 2006»
14 years 9 months ago
Optimizing Control Variate Estimators for Rendering
We present the Optimizing Control Variate (OCV) estimator, a new estimator for Monte Carlo rendering. Based upon a deterministic sampling framework, OCV allows multiple importance...
Shaohua Fan, Stephen Chenney, Bo Hu, Kam-Wah Tsui,...
ICASSP
2009
IEEE
15 years 4 months ago
Subspace tracking of fast time-varying channels in precoded MIMO-OFDM systems
This paper presents a blind subspace-based tracking scheme for precoded MIMO-OFDM systems over rapidly time-varying wireless channels. Subspace-based tracking is normally consider...
Chao-Cheng Tu, Benoît Champagne
ICASSP
2008
IEEE
15 years 4 months ago
Robust multiuser detection based on probability constrained optimization of the MMSE receiver
The performance of multiuser detection (MUD) algorithms for codedivision multiple-access (CDMA) systems depends on the accuracy of channel estimates. Such estimates are typically ...
Sergiy A. Vorobyov
JMIV
2006
185views more  JMIV 2006»
14 years 9 months ago
Intrinsic Statistics on Riemannian Manifolds: Basic Tools for Geometric Measurements
In medical image analysis and high level computer vision, there is an intensive use of geometric features like orientations, lines, and geometric transformations ranging from simp...
Xavier Pennec