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JMLR
2010
159views more  JMLR 2010»
13 years 2 months ago
Inference of Sparse Networks with Unobserved Variables. Application to Gene Regulatory Networks
Networks are becoming a unifying framework for modeling complex systems and network inference problems are frequently encountered in many fields. Here, I develop and apply a gener...
Nikolai Slavov
TMI
2010
298views more  TMI 2010»
13 years 2 months ago
An Efficient Numerical Method for General Lp Regularization in Fluorescence Molecular Tomography
Abstract--Reconstruction algorithms for fluorescence tomography have to address two crucial issues : (i) the ill-posedness of the reconstruction problem, (ii) the large scale of nu...
Jean-Charles Baritaux, Kai Hassler, Michael Unser
ICASSP
2011
IEEE
12 years 11 months ago
L0 sparse graphical modeling
Graphical models are well established in providing compact conditional probability descriptions of complex multivariable interactions. In the Gaussian case, graphical models are d...
Goran Marjanovic, Victor Solo
ICASSP
2011
IEEE
12 years 11 months ago
Direction-resolved estimation of multipath parameters for UWB channels: A partially collapsed Gibbs sampler method
We propose a Monte Carlo method for determining the parameters of multipath components (MPCs) for ultra-wideband channels. A partially collapsed Gibbs sampler is used for jointly ...
Georg Kail, Klaus Witrisal, Franz Hlawatsch
CISS
2010
IEEE
12 years 11 months ago
Turbo reconstruction of structured sparse signals
—This paper considers the reconstruction of structured-sparse signals from noisy linear observations. In particular, the support of the signal coefficients is parameterized by h...
Philip Schniter