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Binary object recognition system on FPGA with bSOM

By Kofi Appiah, Andrew Hunter, Patrick Dickinson and Hongying Meng

Abstract

Tri-state Self Organizing Map (bSOM), which takes binary inputs and maintains tri-state weights, has been used for classification rather than clustering in this paper. The major contribution here is the demonstration of the potential use of the modified bSOM in security surveillance, as a recognition system on FPGA

Topics: G411 Computer Architectures, G700 Artificial Intelligence
Publisher: IEEE
Year: 2010
OAI identifier: oai:eprints.lincoln.ac.uk:2799

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