Paper Info
Title
Incremental Learning For Feature Extraction Filter Mask Used In Similar Pattern Classification
Abstract
The incremental learning system for a feature extraction unit in the character recognition system is described and experimental results are shown. The relationship between this learning system and Neural Networks (NN) are explained and the specifications of this method are described as an NN application.The improved version of this system which is related to the Gabor filter was tested and an accuracy improvement was shown in the experiments of a similar pattern classification.An important goal of this research was to observe created filter masks. It was confirmed that the visual pattern of created filter masks was reasonable for the purpose.
Year
DOI
Venue
2008
10.1109/IJCNN.2008.4633838
2008 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-8
Keywords
Field
DocType
artificial neural networks,mathematical model,feature extraction,pattern recognition,pixel,system testing,neural nets,neural networks,neural network,learning artificial intelligence
Computer vision,Pattern recognition,Character recognition,Computer science,Incremental learning,Gabor filter,Feature extraction,Pixel,Artificial intelligence,Artificial neural network,Machine learning,Visual patterns
Conference
ISSN
Citations 
PageRank 
2161-4393
2
0.39
References 
Authors
16
1
Name
Order
Citations
PageRank
Yoshiaki Kurosawa1135.92