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» On Computing Functions with Uncertainty
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CHI
2011
ACM
13 years 1 months ago
Snaplet: using body shape to inform function in mobile flexible display devices
With recent advances in flexible displays, computer displays are no longer restricted to flat, rigid form factors. In this paper, we propose that the physical form of a flexible d...
Aneesh P. Tarun, Byron Lahey, Audrey Girouard, Win...
ACNS
2010
Springer
189views Cryptology» more  ACNS 2010»
14 years 2 months ago
High Performance GHASH Function for Long Messages
Abstract. This work presents a new method to compute the GHASH function involved in the Galois/Counter Mode of operation for block ciphers. If X = X1 . . . Xn is a bit string made ...
Nicolas Meloni, Christophe Nègre, M. Anwar ...
IFL
1997
Springer
153views Formal Methods» more  IFL 1997»
14 years 1 months ago
Common Subexpressions Are Uncommon in Lazy Functional Languages
Common subexpression elimination is a well-known compiler optimisation that saves time by avoiding the repetition of the same computation. In lazy functional languages, referential...
Olaf Chitil
CVPR
2008
IEEE
13 years 11 months ago
Probabilistic multi-tensor estimation using the Tensor Distribution Function
Diffusion weighted magnetic resonance (MR) imaging is a powerful tool that can be employed to study white matter microstructure by examining the 3D displacement profile of water m...
Alex D. Leow, Siwei Zhu, Katie McMahon, Greig I. d...
GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
13 years 10 months ago
Genetic algorithms for mentor-assisted evaluation function optimization
In this paper we demonstrate how genetic algorithms can be used to reverse engineer an evaluation function’s parameters for computer chess. Our results show that using an approp...
Omid David-Tabibi, Moshe Koppel, Nathan S. Netanya...