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» On the use of spiking neural network for EEG classification
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IEAAIE
2005
Springer
14 years 2 months ago
Movement Prediction from Real-World Images Using a Liquid State Machine
Prediction is an important task in robot motor control where it is used to gain feedback for a controller. With such a self-generated feedback, which is available before sensor rea...
Harald Burgsteiner, Mark Kröll, Alexander Leo...
ESANN
2006
13 years 10 months ago
Designing neural network committees by combining boosting ensembles
The use of modified Real Adaboost ensembles by applying weighted emphasis on erroneous and critical (near the classification boundary) has been shown to lead to improved designs, ...
Vanessa Gómez-Verdejo, Aníbal R. Fig...
IPMU
2010
Springer
13 years 10 months ago
Using Uncertainty Information to Combine Soft Classifications
The classification of remote sensing images performed with different classifiers usually produces different results. The aim of this paper is to investigate whether the outputs of ...
Luisa M. S. Gonçalves, Cidália C. Fo...
IJCNN
2007
IEEE
14 years 2 months ago
Image Classification Using Wavelet Coefficients in Low-pass Bands
— In this paper, a method based on wavelet coefficients in low-pass bands is proposed for the image classification with adaptive processing of data structures to organize a large...
Weibao Zou, Yan Li
FLAIRS
2004
13 years 10 months ago
Indirect Encoding Evolutionary Learning Algorithm for the Multilayer Morphological Perceptron
This article describes an indirectly encoded evolutionary learning algorithm to train morphological neural networks. The indirect encoding method is an algorithm in which the trai...
Jorge L. Ortiz, Roberto Piñeiro