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» Sources of Variability in MEG
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BMCBI
2004
106views more  BMCBI 2004»
14 years 9 months ago
Spotting effect in microarray experiments
Background: Microarray data must be normalized because they suffer from multiple biases. We have identified a source of spatial experimental variability that significantly affects...
Tristan Mary-Huard, Jean-Jacques Daudin, Sté...
ICST
2009
IEEE
15 years 4 months ago
Predicting Attack-prone Components
GEGICK, MICHAEL CHARLES. Predicting Attack-prone Components with Source Code Static Analyzers. (Under the direction of Laurie Williams). No single vulnerability detection techniqu...
Michael Gegick, Pete Rotella, Laurie A. Williams
BMCBI
2010
154views more  BMCBI 2010»
14 years 10 months ago
EnvMine: A text-mining system for the automatic extraction of contextual information
Background: For ecological studies, it is crucial to count on adequate descriptions of the environments and samples being studied. Such a description must be done in terms of thei...
Javier Tamames, Victor de Lorenzo
CVPR
2005
IEEE
15 years 11 months ago
2D Statistical Models of Facial Expressions for Realistic 3D Avatar Animation
We address the issue of modelling facial expressions for realistic 3D avatar animation. We introduce a hierarchical decomposition of a human face into different components and mod...
Lukasz Zalewski, Shaogang Gong
ICPR
2006
IEEE
15 years 11 months ago
Compound Stochastic Models For Fingerprint Individuality
The question of fingerprint individuality can be posed as follows: Given a query fingerprint, what is the probability that the observed number of minutiae matches with a template ...
Anil K. Jain, Sarat C. Dass, Yongfang Zhu