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NIPS
2008
13 years 8 months ago
Reducing statistical dependencies in natural signals using radial Gaussianization
We consider the problem of transforming a signal to a representation in which the components are statistically independent. When the signal is generated as a linear transformation...
Siwei Lyu, Eero P. Simoncelli
CORR
2008
Springer
109views Education» more  CORR 2008»
13 years 7 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
ESSMAC
2003
Springer
14 years 19 days ago
Nonlinear Predictive Control with a Gaussian Process Model
Abstract. Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of nonlinear dynamic systems. The Gaussian processes can h...
Jus Kocijan, Roderick Murray-Smith
ICMCS
2006
IEEE
65views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Self-Embedding Data Hiding for Non-Gaussian State-Dependent Channels: Laplacian Case
In this paper, we consider the problem of optimal self-embedding Lapalcian data hiding for the state-dependent channels. In particular, we propose to decompose the Laplacian data ...
Oleksiy J. Koval, Sviatoslav Voloshynovskiy, Thier...
ICDM
2009
IEEE
155views Data Mining» more  ICDM 2009»
14 years 2 months ago
Stacked Gaussian Process Learning
—Triggered by a market relevant application that involves making joint predictions of pedestrian and public transit flows in urban areas, we address the question of how to utili...
Marion Neumann, Kristian Kersting, Zhao Xu, Daniel...