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» Extracting Randomness from Samplable Distributions
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CORR
2011
Springer
172views Education» more  CORR 2011»
13 years 2 months ago
Possibilities and impossibilities in Kolmogorov complexity extraction
Randomness extraction is the process of constructing a source of randomness of high quality from one or several sources of randomness of lower quality. The problem can be modeled ...
Marius Zimand
CBMS
2000
IEEE
13 years 12 months ago
Real-Time Extraction of Carotid Artery Contours from Ultrasound Images
This paper presents the developement of a novel, fullyautomatic tracking and segmentation system to extract the boundary of the carotid artery from ultrasound images in real-time....
Purang Abolmaesumi, Mohammad Reza Sirouspour, S. E...
INFOCOM
2011
IEEE
12 years 11 months ago
Fast and scalable secret key generation exploiting channel phase randomness in wireless networks
—Recently, there has been great interest in physical layer security techniques that exploit the randomness of wireless channels for securely extracting cryptographic keys. Severa...
Qian Wang, Hai Su, Kui Ren, Kwangjo Kim
EUROCRYPT
2007
Springer
14 years 1 months ago
Conditional Computational Entropy, or Toward Separating Pseudoentropy from Compressibility
We study conditional computational entropy: the amount of randomness a distribution appears to have to a computationally bounded observer who is given some correlated information....
Chun-Yuan Hsiao, Chi-Jen Lu, Leonid Reyzin
EATCS
2002
141views more  EATCS 2002»
13 years 7 months ago
Recent Developments in Explicit Constructions of Extractors
Extractors are functions which are able to "extract" random bits from arbitrary distributions which "contain" sufficient randomness. Explicit constructions of ...
Ronen Shaltiel