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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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Related topics
Related topics
22 relations
Computational complexity theory
Concatenation
Cryptographic hash function
Cryptographically secure pseudorandom number generator
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Broader (2)
Random number generation
Randomness
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2017
Highly Cited
2017
Joint 3D Proposal Generation and Object Detection from View Aggregation
Jason Ku
,
Melissa Mozifian
,
Jungwook Lee
,
Ali Harakeh
,
Steven L. Waslander
IEEE/RJS International Conference on Intelligent…
2017
Corpus ID: 3763258
We present AVOD, an Aggregate View Object Detection network for autonomous driving scenarios. The proposed neural network…
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Highly Cited
2016
Highly Cited
2016
Feature Pyramid Networks for Object Detection
Tsung-Yi Lin
,
Piotr Dollár
,
Ross B. Girshick
,
Kaiming He
,
Bharath Hariharan
,
Serge J. Belongie
Computer Vision and Pattern Recognition
2016
Corpus ID: 10716717
Feature pyramids are a basic component in recognition systems for detecting objects at different scales. But pyramid…
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Highly Cited
2016
Highly Cited
2016
SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning
Long Chen
,
Hanwang Zhang
,
+4 authors
Tat-Seng Chua
Computer Vision and Pattern Recognition
2016
Corpus ID: 206596371
Visual attention has been successfully applied in structural prediction tasks such as visual captioning and question answering…
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Highly Cited
2013
Highly Cited
2013
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
P. Sermanet
,
D. Eigen
,
Xiang Zhang
,
Michaël Mathieu
,
R. Fergus
,
Yann LeCun
International Conference on Learning…
2013
Corpus ID: 4071727
We present an integrated framework for using Convolutional Networks for classification, localization and detection. We show how a…
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Highly Cited
2013
Highly Cited
2013
Recent developments in openSMILE, the munich open-source multimedia feature extractor
F. Eyben
,
F. Weninger
,
Florian Groß
,
Björn Schuller
ACM Multimedia
2013
Corpus ID: 5205529
We present recent developments in the openSMILE feature extraction toolkit. Version 2.0 now unites feature extraction paradigms…
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Highly Cited
2010
Highly Cited
2010
Opensmile: the munich versatile and fast open-source audio feature extractor
F. Eyben
,
M. Wöllmer
,
Björn Schuller
ACM Multimedia
2010
Corpus ID: 8726667
We introduce the openSMILE feature extraction toolkit, which unites feature extraction algorithms from the speech processing and…
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Highly Cited
2007
Highly Cited
2007
Unbalanced Expanders and Randomness Extractors from Parvaresh-Vardy Codes
V. Guruswami
,
C. Umans
,
Salil P. Vadhan
Cybersecurity and Cyberforensics Conference
2007
Corpus ID: 20233192
We give an improved explicit construction of highly unbalanced bipartite expander graphs with expansion arbitrarily close to the…
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Highly Cited
2006
Highly Cited
2006
Efficient Learning of Sparse Representations with an Energy-Based Model
Marc'Aurelio Ranzato
,
Christopher S. Poultney
,
S. Chopra
,
Yann LeCun
Neural Information Processing Systems
2006
Corpus ID: 819006
We describe a novel unsupervised method for learning sparse, overcomplete features. The model uses a linear encoder, and a linear…
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Review
2001
Review
2001
A framework of supply chain management literature
K. Tan
2001
Corpus ID: 35904106
Review
1996
Review
1996
SExtractor: Software for source extraction
É. Bertin
,
S. Arnouts
1996
Corpus ID: 58935314
We present the automated techniques we have developed for new software that optimally detects, deblends, measures and classifies…
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