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170
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NN
2000
Springer
192views Neural Networks» more  NN 2000»
15 years 3 months ago
A new algorithm for learning in piecewise-linear neural networks
Piecewise-linear (PWL) neural networks are widely known for their amenability to digital implementation. This paper presents a new algorithm for learning in PWL networks consistin...
Emad Gad, Amir F. Atiya, Samir I. Shaheen, Ayman E...
SIAMCOMP
1998
111views more  SIAMCOMP 1998»
15 years 3 months ago
Computing the Local Consensus of Trees
The inference of consensus from a set of evolutionary trees is a fundamental problem in a number of fields such as biology and historical linguistics, and many models for inferrin...
Sampath Kannan, Tandy Warnow
127
Voted
IACR
2011
94views more  IACR 2011»
14 years 3 months ago
Secure Computation with Sublinear Amortized Work
Traditional approaches to secure computation begin by representing the function f being computed as a circuit. For any function f that depends on each of its inputs, this implies ...
S. Dov Gordon, Jonathan Katz, Vladimir Kolesnikov,...
SACRYPT
2009
Springer
155views Cryptology» more  SACRYPT 2009»
15 years 10 months ago
Practical Collisions for SHAMATA-256
In this paper, we present a collision attack on the SHA-3 submission SHAMATA. SHAMATA is a stream cipher-like hash function design with components of the AES, and it is one of the ...
Sebastiaan Indesteege, Florian Mendel, Bart Prenee...
114
Voted
IPMI
2001
Springer
16 years 4 months ago
Estimability of Spatio-temporal Activation in fMRI
Event-related functional magnetic resonance imaging (fMRI) is considered as an estimation and reconstruction problem. A linear model of the fMRI system based on the Fourier sampler...
Andre Lehovich, Harrison H. Barrett, Eric Clarkson...