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» On the use of spiking neural network for EEG classification
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ICPR
2002
IEEE
14 years 9 months ago
Graph of Neural Networks for Pattern Recognition
This paper presents a new architecture of neural networks designed for pattern recognition. The concept of induction graphs coupled with a divide-and-conquer strategy defines a Gr...
Hubert Cardot, Olivier Lezoray
ISCI
2006
96views more  ISCI 2006»
13 years 8 months ago
A comparison of classification accuracy of four genetic programming-evolved intelligent structures
We investigate the effectiveness of GP-generated intelligent structures in classification tasks. Specifically, we present and use four context-free grammars to describe (1) decisi...
Athanasios Tsakonas
ICPR
2008
IEEE
14 years 10 months ago
Incremental classification of invoice documents
This paper deals with incremental classification and its particular application to invoice classification. An improved version of an already existant incremental neural network ca...
Hatem Hamza, Yolande Belaïd, Abdel Belaï...
NN
2008
Springer
201views Neural Networks» more  NN 2008»
13 years 8 months ago
Learning representations for object classification using multi-stage optimal component analysis
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
Yiming Wu, Xiuwen Liu, Washington Mio
COLING
2002
13 years 8 months ago
Selforganizing Classification on the Reuters News Corpus
In this paper we propose an integration of a selforganizing map and semantic networks from WordNet for a text classification task using the new Reuters news corpus. This neural mo...
Stefan Wermter, Chihli Hung