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ICCV
2009
IEEE
14 years 7 months ago
Bayesian Poisson regression for crowd counting
Poisson regression models the noisy output of a counting function as a Poisson random variable, with a log-mean parameter that is a linear function of the input vector. In this wo...
Antoni B. Chan, Nuno Vasconcelos
BMCBI
2007
194views more  BMCBI 2007»
14 years 9 months ago
Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
Xin Zhao, Leo Wang-Kit Cheung
ICASSP
2011
IEEE
14 years 1 months ago
Stochastic transceiver design in multi-antenna channels with statistical channel state information
The problem of stochastic robust sum mean square error (MSE) minimization transceiver design is addressed for multiple-input multiple-output (MIMO) broadcast channels (BCs). The t...
Andreas Gründinger, Michael Joham, Wolfgang U...
BMVC
2010
14 years 7 months ago
Local Gaussian Processes for Pose Recognition from Noisy Inputs
Gaussian processes have been widely used as a method for inferring the pose of articulated bodies directly from image data. While able to model complex non-linear functions, they ...
Martin Fergie, Aphrodite Galata
TIT
2008
95views more  TIT 2008»
14 years 9 months ago
Mutual Information and Conditional Mean Estimation in Poisson Channels
Abstract--Following the discovery of a fundamental connection between information measures and estimation measures in Gaussian channels, this paper explores the counterpart of thos...
Dongning Guo, Shlomo Shamai, Sergio Verdú