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» Robust estimation for sparse data
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ICIP
2008
IEEE
15 years 11 months ago
Localization of sparse image tampering via random projections
Hashes can be used to provide authentication of multimedia contents. In the case of images, a hash can be used to detect whether the data has been modified in an illegitimate way....
Marco Tagliasacchi, Giuseppe Valenzise, Stefano Tu...
CVIU
2007
152views more  CVIU 2007»
14 years 10 months ago
A random sampling strategy for piecewise planar scene segmentation
We investigate the problem of automatically creating 3D models of man-made environments that we represent as collections of textured planes. A typical approach is to automatically...
Adrien Bartoli
BMCBI
2005
135views more  BMCBI 2005»
14 years 9 months ago
A robust two-way semi-linear model for normalization of cDNA microarray data
Background: Normalization is a basic step in microarray data analysis. A proper normalization procedure ensures that the intensity ratios provide meaningful measures of relative e...
Deli Wang, Jian Huang, Hehuang Xie, Liliana Manzel...
ICASSP
2011
IEEE
14 years 1 months ago
Maximum a posteriori based regularization parameter selection
The 1 norm regularized least square technique has been proposed as an efficient method to calculate sparse solutions. However, the choice of the regularization parameter is still...
Ashkan Panahi, Mats Viberg
GFKL
2005
Springer
88views Data Mining» more  GFKL 2005»
15 years 3 months ago
The Partial Robust M-approach
The PLS approach is a widely used technique to estimate path models relating various blocks of variables measured from the same population. It is frequently applied in the social s...
Sven Serneels, Christophe Croux, Peter Filzmoser, ...