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ESANN
2008
15 years 4 months ago
A method for robust variable selection with significance assessment
Our goal is proposing an unbiased framework for gene expression analysis based on variable selection combined with a significance assessment step. We start by discussing the need ...
Annalisa Barla, Sofia Mosci, Lorenzo Rosasco, Ales...
132
Voted
BMCBI
2010
152views more  BMCBI 2010»
15 years 3 months ago
FITBAR: a web tool for the robust prediction of prokaryotic regulons
Background: The binding of regulatory proteins to their specific DNA targets determines the accurate expression of the neighboring genes. The in silico prediction of new binding s...
Jacques Oberto
152
Voted
CGF
2006
191views more  CGF 2006»
15 years 3 months ago
A Robust Two-Step Procedure for Quad-Dominant Remeshing
We propose a new technique for quad-dominant remeshing which separates the local regularity requirements from the global alignment requirements by working in two steps. In the fir...
Martin Marinov, Leif Kobbelt
156
Voted
PRL
2007
138views more  PRL 2007»
15 years 2 months ago
Ent-Boost: Boosting using entropy measures for robust object detection
Recently, boosting has come to be used widely in object-detection applications because of its impressive performance in both speed and accuracy. However, learning weak classifier...
Duy-Dinh Le, Shin'ichi Satoh
159
Voted
TITS
2011
165views more  TITS 2011»
14 years 10 months ago
Robust Inference of Principal Road Paths for Intelligent Transportation Systems
Abstract—Over the last few years, electronic vehicle guidance systems have become increasingly more popular. However, despite their ubiquity, performance will always be subject t...
Gabriel Agamennoni, Juan Nieto, Eduardo Mario Nebo...