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Randomness extractor

Known as: Extractor, Von Neumann extractor 
A randomness extractor, often simply called an "extractor", is a function, which being applied to output from a weakly random entropy source… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2013
2013
Chemical extraction of olive oil from natural and dried olive cake (obtained from Alyarmouk press, Irbid, Jordan) using organic… 
2011
2011
In this paper, we investigated the impact of extracting different types of multiword expressions (MWEs) in improving the accuracy… 
2010
2010
A novel Neuroevolutionary technique based on Cartesian Genetic Programming is proposed (CGPANN). ANNs are encoded and evolved… 
Highly Cited
2006
Highly Cited
2006
This letter aims at the extraction of roads and road networks from high-resolution synthetic aperture radar data. Classical… 
Highly Cited
2005
Highly Cited
2005
In this article, we present a first approach in the conception of a vision system dedicated to the detection of vehicles in… 
Highly Cited
2003
Highly Cited
2003
In this article, we present an algorithm for lane marking features extraction and robust shape estimation of lane markings. The… 
Highly Cited
2002
Highly Cited
2002
We have developed a robust, efficient, and accurate tool, which integrates inductance extraction and simulation, called… 
Highly Cited
2001
Highly Cited
2001
A novel algorithm for computing the Hough transform (HT) is introduced. The basic idea consists in using a combination of an… 
2001
2001
Organizations are policy-driven entities. Policy bases can be very large and the relationships between policies can be complex… 
Highly Cited
2000
Highly Cited
2000
The paper describes a method used to collect terms needed for the development of a thesaurus in the roofing domain. This work is…