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» Reducibility and Completeness in Private Computations
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ICASSP
2011
IEEE
12 years 11 months ago
A complete ensemble empirical mode decomposition with adaptive noise
In this paper an algorithm based on the ensemble empirical mode decomposition (EEMD) is presented. The key idea on the EEMD relies on averaging the modes obtained by EMD applied t...
María Eugenia Torres, Marcelo A. Colominas,...
EUROCRYPT
2010
Springer
14 years 8 days ago
Partial Fairness in Secure Two-Party Computation
A seminal result of Cleve (STOC ’86) is that, in general, complete fairness is impossible to achieve in two-party computation. In light of this, various techniques for obtaining...
S. Dov Gordon, Jonathan Katz
NSDI
2010
13 years 9 months ago
MapReduce Online
MapReduce is a popular framework for data-intensive distributed computing of batch jobs. To simplify fault tolerance, many implementations of MapReduce materialize the entire outp...
Tyson Condie, Neil Conway, Peter Alvaro, Joseph M....
ICIP
2010
IEEE
13 years 5 months ago
Reducing graphs in graph cut segmentation
In few years, graph cuts have become a leading method for solving a wide range of problems in computer vision. However, graph cuts involve the construction of huge graphs which so...
Nicolas Lerme, François Malgouyres, Lucas L...
ICPP
1999
IEEE
13 years 11 months ago
Mobile-Agents for Distributed Market Computing
This paper discusses the implementation using mobile agent and the performance of the market computing to allocate network quality of service most efficiently, based on users'...
Shinji Tanaka, Hirofumi Yamaki, Toru Ishida