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» Extracting Randomness Using Few Independent Sources
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BMCBI
2008
135views more  BMCBI 2008»
13 years 7 months ago
Knowledge-guided multi-scale independent component analysis for biomarker identification
Background: Many statistical methods have been proposed to identify disease biomarkers from gene expression profiles. However, from gene expression profile data alone, statistical...
Li Chen, Jianhua Xuan, Chen Wang, Ie-Ming Shih, Yu...
BSN
2006
IEEE
112views Sensor Networks» more  BSN 2006»
14 years 1 months ago
Source Recovery for Body Sensor Network
To accurately capture clinically relevant episodes with Body Sensor Networks (BSNs), multi-sensor fusion is essential for extracting intrinsic physiological and contextual informa...
Benny P. L. Lo, Fani Deligianni, Guang-Zhong Yang
CORR
2004
Springer
99views Education» more  CORR 2004»
13 years 7 months ago
Source-Channel Diversity for Parallel Channels
We consider transmitting a source across a pair of independent, nonergodic channels with random states (e.g., slow-fading channels) so as to minimize the average distortion. The ge...
J. Nicholas Laneman, Emin Martinian, Gregory W. Wo...
APPROX
2010
Springer
139views Algorithms» more  APPROX 2010»
13 years 9 months ago
Two-Source Extractors Secure against Quantum Adversaries
We initiate the study of multi-source extractors in the quantum world. In this setting, our goal is to extract random bits from two independent weak random sources, on which two q...
Roy Kasher, Julia Kempe
SP
2006
IEEE
193views Security Privacy» more  SP 2006»
14 years 1 months ago
Analysis of the Linux Random Number Generator
Linux is the most popular open source project. The Linux random number generator is part of the kernel of all Linux distributions and is based on generating randomness from entrop...
Zvi Gutterman, Benny Pinkas, Tzachy Reinman