Paper Info
Title
Orientation Selectivity of TAM Network with Extensive Receptive Field
Abstract
TAM (Topographic Attentive Mapping) network is a biologically-motivated neural network with Gabor function type receptive fields. However, the structure of receptive fields is a mono-layer, and there is a lack of performance for rotating images. In this paper, we formulate a new TAM network with multilayer structurr of extensive receptive fields. We also show the usefulness of TAM network using some examples of character recognition.
Year
DOI
Venue
2005
10.1109/CIMCA.2005.1631423
CIMCA/IAWTIC
Keywords
Field
DocType
new tam network,extensive receptive field,multilayer structurr,receptive field,orientation selectivity,topographic attentive mapping,character recognition,tam network,gabor function type,biologically-motivated neural network,neural nets,neural network
Receptive field,Computer vision,Character recognition,Pattern recognition,Topographic map,Computer science,Image rotation,Function type,Artificial intelligence,Artificial neural network,Machine learning
Conference
ISBN
Citations 
PageRank 
0-7695-2504-0-01
0
0.34
References 
Authors
6
2
Name
Order
Citations
PageRank
Isao Hayashi127685.75
James R. Williamson238931.64