An autonomous multi-feature selective attention neural network model

This paper describes and analyzes a model of hierarchical neural networks for location and extraction of patterns present in a image, without restrictions of dimension and position inside of the retina. All the stages of processing: location, evaluation, focus of the attention and change of the focu...

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Bibliographic Details
Main Authors: Melo, E.da F., de Barros Carvalho Filho, E.C.
Format: Conference Proceeding
Language:English
Subjects:
Access control
Automation
Electronic mail
Focusing
Image analysis
Network topology
Neural networks
Pattern recognition
Retina
Visual system
Online Access:Request full text
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Description
Summary:This paper describes and analyzes a model of hierarchical neural networks for location and extraction of patterns present in a image, without restrictions of dimension and position inside of the retina. All the stages of processing: location, evaluation, focus of the attention and change of the focus of the attention are carried through by neural networks.
ISSN:1098-7576
1558-3902
DOI:10.1109/IJCNN.1999.836237