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ESANN
2007
13 years 6 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
FGR
2008
IEEE
165views Biometrics» more  FGR 2008»
13 years 5 months ago
The significance of facial features for automatic sign language recognition
Although facial features are considered to be essential for humans to understand sign language, no prior research work has yet examined their significance for automatic sign langu...
Ulrich von Agris, Moritz Knorr, Karl-Friedrich Kra...
BMCBI
2005
302views more  BMCBI 2005»
13 years 5 months ago
CGHPRO - A comprehensive data analysis tool for array CGH
Background: Array CGH (Comparative Genomic Hybridisation) is a molecular cytogenetic technique for the genome wide detection of chromosomal imbalances. It is based on the cohybrid...
Wei Chen, Fikret Erdogan, H.-Hilger Ropers, Steffe...
CCGRID
2004
IEEE
13 years 9 months ago
DWDM-RAM: a data intensive Grid service architecture enabled by dynamic optical networks
Next generation applications and architectures (for example, Grids) are driving radical changes in the nature of traffic, service models, technology, and cost, creating opportunit...
Tal Lavian, Joe Mambretti, Doug Cutrell, Howard J....
JOCN
2010
95views more  JOCN 2010»
13 years 3 months ago
The Neural Correlates of Persuasion: A Common Network across Cultures and Media
■ Persuasion is at the root of countless social exchanges in which one person or group is motivated to have another share its beliefs, desires, or behavioral intentions. Here, w...
Emily B. Falk, Lian Rameson, Elliot T. Berkman, Be...