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» Introduction to Randomized Algorithms
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170
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IPL
2006
110views more  IPL 2006»
15 years 6 months ago
Variationally universal hashing
The strongest well-known measure for the quality of a universal hash-function family H is its being -strongly universal, which measures, for randomly chosen h H, one's inabi...
Ted Krovetz, Phillip Rogaway
IJON
2007
184views more  IJON 2007»
15 years 6 months ago
Convex incremental extreme learning machine
Unlike the conventional neural network theories and implementations, Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden n...
Guang-Bin Huang, Lei Chen
169
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SIGMETRICS
2010
ACM
197views Hardware» more  SIGMETRICS 2010»
15 years 11 months ago
Coloring spatial point processes with applications to peer discovery in large wireless networks
In this paper, we study distributed channel assignment in wireless networks with applications to peer discovery in ad hoc wireless networks. We model channel assignment as a color...
Jian Ni, R. Srikant, Xinzhou Wu
DCOSS
2006
Springer
15 years 10 months ago
Efficient In-Network Processing Through Local Ad-Hoc Information Coalescence
We consider in-network processing via local message passing. The considered setting involves a set of sensors each of which can communicate with a subset of other sensors. There is...
Onur Savas, Murat Alanyali, Venkatesh Saligrama
BMCBI
2007
109views more  BMCBI 2007»
15 years 6 months ago
Computational RNA secondary structure design: empirical complexity and improved methods
Background: We investigate the empirical complexity of the RNA secondary structure design problem, that is, the scaling of the typical difficulty of the design task for various cl...
Rosalía Aguirre-Hernández, Holger H....