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NIPS
1996
15 years 1 months ago
Solving the Ill-Conditioning in Neural Network Learning
Abstract. In this paper we investigate the feed-forward learning problem. The well-known ill-conditioning which is present in most feed-forward learning problems is shown to be the...
P. Patrick van der Smagt, Gerd Hirzinger
CORR
2010
Springer
166views Education» more  CORR 2010»
14 years 11 months ago
The dynamics of message passing on dense graphs, with applications to compressed sensing
`Approximate message passing' algorithms proved to be extremely effective in reconstructing sparse signals from a small number of incoherent linear measurements. Extensive num...
Mohsen Bayati, Andrea Montanari
CORR
2006
Springer
90views Education» more  CORR 2006»
14 years 11 months ago
Decoder Error Probability of MRD Codes
In this paper, we first introduce the concept of elementary linear subspace, which has similar properties to those of a set of coordinates. Using this new concept, we derive proper...
Maximilien Gadouleau, Zhiyuan Yan
IJNSEC
2006
132views more  IJNSEC 2006»
14 years 11 months ago
A Fast Semantically Secure Public Key Cryptosystem Based on Factoring
The cryptosystem proposed by Koyama is not semantically secure. Also, it is not secure against partial known plaintext attack, linearly related plaintext attack and low exponent a...
Sahadeo Padhye, Birendra Kumar Sharma
JSCIC
2008
79views more  JSCIC 2008»
14 years 11 months ago
A New Ghost Cell/Level Set Method for Moving Boundary Problems: Application to Tumor Growth
Abstract In this paper, we present a ghost cell/level set method for the evolution of interfaces whose normal velocity depend upon the solutions of linear and nonlinear quasi-stead...
Paul Macklin, John Lowengrub