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» Image classification using hybrid neural networks
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ICPR
2006
IEEE
14 years 10 months ago
A Method for the Identification of Noisy Regions in Normalized Iris Images
In this paper we propose a new method for the identification of noisy regions in normalized iris images. Starting from a normalized and dimensionless iris image in the polar coord...
Hugo Proença, Luís A. Alexandre
GECCO
1999
Springer
133views Optimization» more  GECCO 1999»
14 years 1 months ago
Forecasting the MagnetoEncephaloGram (MEG) of Epileptic Patients Using Genetically Optimized Neural Networks
In this work MagnetoEncephaloGram (MEG) recordings of epileptic patients were analyzed using a hybrid neural networks training algorithm. This algorithm combines genetic algorithm...
Adam V. Adamopoulos, Efstratios F. Georgopoulos, S...
PRL
2002
101views more  PRL 2002»
13 years 9 months ago
Multifocus image fusion using artificial neural networks
Optical lenses, particularly those with long focal lengths, suffer from the problem of limited depth of field. Consequently, it is often difficult to obtain good focus for all obj...
Shutao Li, James T. Kwok, Yaonan Wang
KES
2005
Springer
14 years 2 months ago
Relative Magnitude of Gaussian Curvature from Shading Images Using Neural Network
Abstract. A new approach is proposed to recover the relative magnitude of Gaussian curvature from three shading images using neural network. Under the assumption that the test obje...
Yuji Iwahori, Shinji Fukui, Chie Fujitani, Yoshino...
ICIP
2001
IEEE
14 years 11 months ago
Face detection from cluttered images using a polynomial neural network
In this paper, we propose a new method for face detection from cluttered images. We use a polynomial neural network (PNN) for separation of face and non-face patterns while the co...
Lin-Lin Huang, Akinobu Shimizu, Yoshihiro Hagihara...