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NN
2000
Springer
192views Neural Networks» more  NN 2000»
15 years 6 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 6 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
IACR
2011
94views more  IACR 2011»
14 years 6 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»
16 years 1 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...
IPMI
2001
Springer
16 years 7 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...