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BMCBI
2008
95views more  BMCBI 2008»
14 years 10 months ago
Unsupervised reduction of random noise in complex data by a row-specific, sorted principal component-guided method
Background: Large biological data sets, such as expression profiles, benefit from reduction of random noise. Principal component (PC) analysis has been used for this purpose, but ...
Joseph W. Foley, Fumiaki Katagiri
101
Voted
WPES
2003
ACM
15 years 3 months ago
Analysis of privacy preserving random perturbation techniques: further explorations
Privacy is becoming an increasingly important issue in many data mining applications, particularly in the security and defense area. This has triggered the development of many pri...
Haimonti Dutta, Hillol Kargupta, Souptik Datta, Kr...
95
Voted
FOCS
2000
IEEE
15 years 2 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
88
Voted
ICIAP
1999
ACM
15 years 2 months ago
Random Walk Approach to Image Enhancement
The paper presents a new technique of image enhancement. The described algorithm enables the suppression of noise and contrast enhancement. The interesting feature of this new alg...
Bogdan Smolka, Konrad W. Wojciechowski, Marek Szcz...
99
Voted
SAC
2010
ACM
15 years 5 months ago
ReSSD: a software layer for resuscitating SSDs from poor small random write performance
NAND flash-based solid state drives have emerged as revolutionary storage media during recent years. However, the wide-spread of SSD technology is currently obstructed by the fac...
Youngjae Lee, Jin-Soo Kim, Seungryoul Maeng