DocumentCode
274154
Title
ADAM: an associative neural architecture for invariant pattern classification
Author
Austin, James
Author_Institution
York Univ., UK
fYear
1989
fDate
16-18 Oct 1989
Firstpage
196
Lastpage
200
Abstract
A method for rotation and scale invariant pattern recognition is described. The technique is based upon a simple neural network model allowing massively parallel processing. The method forms an extension to the ADAM (advanced distributed associative memory) system, which is a neural-network-based associative memory. The basics of ADAM are described along with the extension which provides an invariant capability
Keywords
computerised pattern recognition; content-addressable storage; neural nets; parallel architectures; parallel machines; ADAM; advanced distributed associative memory; associative neural architecture; massively parallel processing; neural network; pattern classification; rotation invariance; scale invariant pattern recognition;
fLanguage
English
Publisher
iet
Conference_Titel
Artificial Neural Networks, 1989., First IEE International Conference on (Conf. Publ. No. 313)
Conference_Location
London
Type
conf
Filename
51958
Link To Document