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» Extractors Using Hardness Amplification
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STOC
2007
ACM
111views Algorithms» more  STOC 2007»
14 years 6 months ago
Low-end uniform hardness vs. randomness tradeoffs for AM
In 1998, Impagliazzo and Wigderson [IW98] proved a hardness vs. randomness tradeoff for BPP in the uniform setting, which was subsequently extended to give optimal tradeoffs for t...
Ronen Shaltiel, Christopher Umans
MICCAI
2004
Springer
14 years 6 months ago
A Tactile Magnification Instrument for Minimally Invasive Surgery
The MicroTactus is a family of instruments that we have designed to detect signals arising from the interaction of a tip with soft or hard objects and to magnify them for haptic an...
Hsin-Yun Yao, Vincent Hayward, Randy E. Ellis
MSR
2009
ACM
13 years 10 months ago
MapReduce as a general framework to support research in Mining Software Repositories (MSR)
Researchers continue to demonstrate the benefits of Mining Software Repositories (MSR) for supporting software development and research activities. However, as the mining process...
Weiyi Shang, Zhen Ming Jiang, Bram Adams, Ahmed E....
STOC
2007
ACM
136views Algorithms» more  STOC 2007»
14 years 6 months ago
Exponential separations for one-way quantum communication complexity, with applications to cryptography
We give an exponential separation between one-way quantum and classical communication protocols for two partial Boolean functions, both of which are variants of the Boolean Hidden...
Dmitry Gavinsky, Julia Kempe, Iordanis Kerenidis, ...
FOCS
2000
IEEE
13 years 10 months ago
Extracting Randomness from Samplable Distributions
Randomness extractors convert weak sources of randomness into an almost uniform distribution; the conversion uses a small amount of pure randomness. In algorithmic applications, t...
Luca Trevisan, Salil P. Vadhan