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» On computational limitations of neural network architectures
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DSOM
2006
Springer
14 years 11 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...
86
Voted
ICPR
2000
IEEE
15 years 10 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 ...
103
Voted
NOLISP
2007
Springer
15 years 3 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
15 years 1 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
91
Voted
ESANN
2006
14 years 11 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...