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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

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Highly Cited
2017
Highly Cited
2017
We present AVOD, an Aggregate View Object Detection network for autonomous driving scenarios. The proposed neural network… 
Highly Cited
2016
Highly Cited
2016
Feature pyramids are a basic component in recognition systems for detecting objects at different scales. But pyramid… 
Highly Cited
2016
Highly Cited
2016
Visual attention has been successfully applied in structural prediction tasks such as visual captioning and question answering… 
Highly Cited
2013
Highly Cited
2013
We present an integrated framework for using Convolutional Networks for classification, localization and detection. We show how a… 
Highly Cited
2013
Highly Cited
2013
We present recent developments in the openSMILE feature extraction toolkit. Version 2.0 now unites feature extraction paradigms… 
Highly Cited
2010
Highly Cited
2010
We introduce the openSMILE feature extraction toolkit, which unites feature extraction algorithms from the speech processing and… 
Highly Cited
2007
Highly Cited
2007
We give an improved explicit construction of highly unbalanced bipartite expander graphs with expansion arbitrarily close to the… 
Highly Cited
2006
Highly Cited
2006
We describe a novel unsupervised method for learning sparse, overcomplete features. The model uses a linear encoder, and a linear… 
Review
2001
Review
1996
Review
1996
We present the automated techniques we have developed for new software that optimally detects, deblends, measures and classifies…