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» Robust estimation for sparse data
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BMCBI
2007
101views more  BMCBI 2007»
14 years 9 months ago
Robust detection and verification of linear relationships to generate metabolic networks using estimates of technical errors
Background: The size and magnitude of the metabolome, the ratio between individual metabolites and the response of metabolic networks is controlled by multiple cellular factors. A...
Frank Kose, Jan Budczies, Matthias Holschneider, O...
ICPR
2000
IEEE
15 years 1 months ago
Rough Histograms for Robust Statistics
Applied statistics are widely used in pattern recognition and other computing applications tofind the most likely value of a parameter. The use of classical empirical statistics i...
Olivier Strauss, Frederic Comby, Marie-José...
ICASSP
2010
IEEE
14 years 10 months ago
Fast signal analysis and decomposition on graphs using the Sparse Matrix Transform
Recently, the Sparse Matrix Transform (SMT) has been proposed as a tool for estimating the eigen-decomposition of high dimensional data vectors [1]. The SMT approach has two major...
Leonardo R. Bachega, Guangzhi Cao, Charles A. Boum...
NIPS
2001
14 years 11 months ago
Adaptive Sparseness Using Jeffreys Prior
In this paper we introduce a new sparseness inducing prior which does not involve any (hyper)parameters that need to be adjusted or estimated. Although other applications are poss...
Mário A. T. Figueiredo
TMI
2008
127views more  TMI 2008»
14 years 9 months ago
Restoration of DWI Data Using a Rician LMMSE Estimator
Abstract--This paper introduces and analyzes a linear minimum mean square error (LMMSE) estimator using a Rician noise model and its recursive version (RLMMSE) for the restoration ...
Santiago Aja-Fernández, Marc Niethammer, Ma...