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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.
Highly Cited
2013
Highly Cited
2013
A robust feature points detector for invariant audio watermarking is proposed in this paper. The audio segments centering at the… 
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
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… 
Highly Cited
1994
Highly Cited
1994
Food material shape is often closely related to its quality. Due to the demands of high quality, automated food shape inspection… 
1990
1990
A VLSI layout design system named Tailor is described. Tailor operates on hierarchical layouts containing 45 degrees multiple…