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» On computational limitations of neural network architectures
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DSOM
2006
Springer
13 years 9 months ago
A WSDM-Based Architecture for Global Usage Characterization of Grid Computing Infrastructures
Current solutions to characterize grid computing usage are limited in three important aspects. First, they do not provide a global, uniform view of the use of infrastructures compr...
Glauco Antonio Ludwig, Luciano Paschoal Gaspary, G...
ICPR
2000
IEEE
14 years 8 months ago
Image Recognition on the Neural Network Based on Multi-Valued Neurons
Multi-valued neurons are the neural processing elements with complex-valued weights, huge functionality (it is possible to implement on the single neuron arbitrary mapping describ...
Igor N. Aizenberg, Naum N. Aizenberg, Constantine ...
NOLISP
2007
Springer
14 years 1 months ago
Word Recognition with a Hierarchical Neural Network
In this paper we propose a feedforward neural network for syllable recognition. The core of the recognition system is based on a hierarchical architecture initially developed for ...
Xavier Domont, Martin Heckmann, Heiko Wersing, Fra...
UMC
2000
13 years 11 months ago
In-vitro Transcriptional Circuits
The structural similarity of neural networks and genetic regulatory networks to digital circuits, and hence to each other, was noted from the very beginning of their study [1, 2]....
Erik Winfree
ESANN
2006
13 years 9 months ago
Saliency extraction with a distributed spiking neural network
We present a distributed spiking neuron network (SNN) for handling low-level visual perception in order to extract salient locations in robot camera images. We describe a new metho...
Sylvain Chevallier, Philippe Tarroux, Hél&e...