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» Character Recognition using Spiking Neural Networks
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NN
2004
Springer
14 years 2 months ago
On the Usefulness of Almost-Redundant Information for Pattern Recognition
Abstract. In this paper we give some pedagogical explanation of those situations where the use of redundant or almost-redundant information can improve the recognition rates of pat...
Marcos Faúndez-Zanuy
JCNS
1998
134views more  JCNS 1998»
13 years 8 months ago
Analytical and Simulation Results for Stochastic Fitzhugh-Nagumo Neurons and Neural Networks
An analytical approach is presented for determining the response of a neuron or of the activity in a network of connected neurons, represented by systems of nonlinear ordinary stoc...
Henry C. Tuckwell, Roger Rodriguez
ICANN
2007
Springer
13 years 10 months ago
Solving Selected Classification Problems in Bioinformatics Using Multilayer Neural Network Based on Multi-Valued Neurons (MLMVN)
A multilayer neural network based on multi-valued neurons (MLMVN) is a new powerful tool for solving classification, recognition and prediction problems. This network has a number ...
Igor N. Aizenberg, Jacek M. Zurada
NIPS
2001
13 years 10 months ago
Speech Recognition with Missing Data using Recurrent Neural Nets
In the `missing data' approach to improving the robustness of automatic speech recognition to added noise, an initial process identifies spectraltemporal regions which are do...
S. Parveen, P. Green
ESANN
2004
13 years 10 months ago
Face Recognition Using Recurrent High-Order Associative Memories
A novel face recognition approach is proposed, based on the use of compressed discriminative features and recurrent neural classifiers. Low-dimensional feature vectors are extract...
Iulian B. Ciocoiu