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STOC
2010
ACM
193views Algorithms» more  STOC 2010»
14 years 10 days ago
Privacy Amplification with Asymptotically Optimal Entropy Loss
We study the problem of "privacy amplification": key agreement between two parties who both know a weak secret w, such as a password. (Such a setting is ubiquitous on th...
Nishanth Chandran, Bhavana Kanukurthi, Rafail Ostr...
CORR
2010
Springer
158views Education» more  CORR 2010»
13 years 5 months ago
Counting in Graph Covers: A Combinatorial Characterization of the Bethe Entropy Function
We present a combinatorial characterization of the Bethe entropy function of a factor graph, such a characterization being in contrast to the original, analytical, definition of th...
Pascal O. Vontobel
TCBB
2010
176views more  TCBB 2010»
13 years 7 months ago
Feature Selection for Gene Expression Using Model-Based Entropy
—Gene expression data usually contain a large number of genes, but a small number of samples. Feature selection for gene expression data aims at finding a set of genes that best...
Shenghuo Zhu, Dingding Wang, Kai Yu, Tao Li, Yihon...
STOC
2005
ACM
198views Algorithms» more  STOC 2005»
14 years 9 months ago
On lattices, learning with errors, random linear codes, and cryptography
Our main result is a reduction from worst-case lattice problems such as GAPSVP and SIVP to a certain learning problem. This learning problem is a natural extension of the `learnin...
Oded Regev
ASIAMS
2007
IEEE
14 years 3 months ago
Rough-Fuzzy Granulation, Rough Entropy and Image Segmentation
This talk has two parts explaining the significance of Rough sets in granular computing in terms of rough set rules and in uncertainty handling in terms of lower and upper approxi...
Sankar K. Pal