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Extractor (mathematics)

Known as: Extractor 
An -extractor is a bipartite graph with nodes on the left and nodes on the right such that each node on the left has neighbors (on the right), which… (More)
Wikipedia

Topic mentions per year

Topic mentions per year

1938-2017
010020030019382016

Related topics

Related topics

8 relations
Computer scienceGraph theoryInformation theoryList decoding
(More)

Broader (2)

PseudorandomnessTheoretical computer science

Related mentions per year

Related mentions per year

1937-2018
19401960198020002020
Extractor (mathematics)
Computer science
Randomness
Information theory
Graph theory
Pseudorandomness

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2015
Highly Cited
2015
Deep Learning
ion Deep learning allows computational models that are composed of multiple processing layers to learn representations of data… (More)
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Highly Cited
2013
Highly Cited
2013
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
We present an integrated framework for using Convolutional Networks for classification, localization and detection. We show how a… (More)
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Highly Cited
2010
Highly Cited
2010
Opensmile: the munich versatile and fast open-source audio feature extractor
We introduce the openSMILE feature extraction toolkit, which unites feature extraction algorithms from the speech processing and… (More)
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Highly Cited
2010
Highly Cited
2010
Open Information Extraction Using Wikipedia
Information-extraction (IE) systems seek to distill semantic relations from naturallanguage text, but most systems use supervised… (More)
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Highly Cited
2007
Highly Cited
2007
FPGA Intrinsic PUFs and Their Use for IP Protection
Counterfeiting of valuable goods in general and that of IP (embedded software) in particular leads to big revenue losses and is… (More)
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Highly Cited
2007
Highly Cited
2007
Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition
We present an unsupervised method for learning a hierarchy of sparse feature detectors that are invariant to small shifts and… (More)
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Highly Cited
2005
Highly Cited
2005
Linear degree extractors and the inapproximability of max clique and chromatic number
A randomness extractor is an algorithm which extracts randomness from a low-quality random source, using some additional truly… (More)
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Highly Cited
2003
Highly Cited
2003
Efficient and robust feature extraction by maximum margin criterion
In pattern recognition, feature extraction techniques are widely employed to reduce the dimensionality of data and to enhance the… (More)
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Highly Cited
1998
Highly Cited
1998
Kernel PCA and De-Noising in Feature Spaces
Kernel PCA as a nonlinear feature extractor has proven powerful as a preprocessing step for classification algorithms. But it can… (More)
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Highly Cited
1991
Highly Cited
1991
FastCap: a multipole accelerated 3-D capacitance extraction program
In this paper a fast algorithm for computing the capacitance of a complicated 3-D geometry of ideal conductors in a uniform… (More)
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