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CORR
2008
Springer
142views Education» more  CORR 2008»
13 years 8 months ago
A Gaussian Belief Propagation Solver for Large Scale Support Vector Machines
Support vector machines (SVMs) are an extremely successful type of classification and regression algorithms. Building an SVM entails solving a constrained convex quadratic program...
Danny Bickson, Elad Yom-Tov, Danny Dolev
ICASSP
2009
IEEE
14 years 3 months ago
Bounded conditional mean imputation with Gaussian mixture models: A reconstruction approach to partly occluded features
In this work we show how conditional mean imputation can be bounded through the use of box-truncated Gaussian distributions. That is of interest when signals or features are partl...
Friedrich Faubel, John W. McDonough, Dietrich Klak...
ICASSP
2009
IEEE
14 years 10 days ago
Principal component analysis in decomposable Gaussian graphical models
We consider principal component analysis (PCA) in decomposable Gaussian graphical models. We exploit the prior information in these models in order to distribute its computation. ...
Ami Wiesel, Alfred O. Hero III
CORR
2008
Springer
113views Education» more  CORR 2008»
13 years 8 months ago
Gaussian Belief Propagation Solver for Systems of Linear Equations
The canonical problem of solving a system of linear equations arises in numerous contexts in information theory, communication theory, and related fields. In this contribution, we ...
Ori Shental, Paul H. Siegel, Jack K. Wolf, Danny B...
TIT
2011
106views more  TIT 2011»
13 years 3 months ago
Interference Alignment-Based Sum Capacity Bounds for Random Dense Gaussian Interference Networks
We consider a dense K user Gaussian interference network formed by paired transmitters and receivers placed independently at random in a fixed spatial region. Under natural condi...
Oliver Johnson, Matthew Aldridge, Robert J. Piecho...