Title
Identification of Visual Features Using a Neural Version of Exploratory Projection Pursuit
Abstract
We develop artificial neural networks which extract structure from visual data. We explore an extension of Hebbian Learning which has been called 驴 - Insensitive Hebbian Learning and show that it may be thought of as a special case of Maximum Likelihood Hebbian learning and investigate the resulting network with both real and artificial data. We show that the resulting network is able to identify a single orientation of bars from a mixture of horizontal and vertical bars and also it is able to identify local filters from video images.
Year
Venue
Keywords
2002
AICS
visual data,insensitive hebbian learning,special case,maximum likelihood hebbian learning,artificial data,hebbian learning,neural version,resulting network,local filter,single orientation,artificial neural network,exploratory projection pursuit,projection pursuit,maximum likelihood
Field
DocType
Volume
Competitive learning,Projection pursuit,Computer science,Unsupervised learning,Hebbian theory,Artificial intelligence,Artificial neural network,Generalized Hebbian Algorithm,Leabra,Special case
Conference
2464
ISSN
ISBN
Citations 
0302-9743
3-540-44184-0
0
PageRank 
References 
Authors
0.34
10
2
Name
Order
Citations
PageRank
Emilio Corchado12626210.70
Colin Fyfe250855.62