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The following technical report is available via FTP/WWW:

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Object Selection Based on Oscillatory Correlation
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DeLiang Wang

Technical Report: OSU-CISRC-12/96-TR67, 1996
OSU Department of Computer and Information Science

One of the classical topics in neural networks is winner-take-all (WTA), 
which has been widely used in unsupervised (competitive) learning, cortical 
processing, and attentional control.  Because of global connectivity, 
WTA networks, however, do not encode spatial relations in the input, and 
thus cannot support sensory and perceptual processing where spatial 
relations are important.  We propose a new architecture that maintains 
spatial relations between input features.  This selection network builds 
on LEGION (Locally Excitatory Globally Inhibitory Oscillator Networks) 
dynamics and slow inhibition.  In an input scene with many objects 
(patterns), the network selects the largest object.  This system can be 
easily adjusted to select several largest objects, which then alternate 
in time.  We further show that a two-stage selection network gains 
efficiency by combining selection with parallel removal of noisy regions.  
The network is applied to select the most salient object in real images.  
As a special case, the selection network without local excitation gives 
rise to a new form of oscillatory WTA.

(20 pages + one figure: 1.3 MB compressed) 


for anonymous ftp:
       	FTP-HOST: ftp.cis.ohio-state.edu
	Directory: /pub/leon/Wang96
       	FTP-filenames: wang.tech96.ps.Z, fig4.ps.Z

or for WWW:
	http://www.cis.ohio-state.edu/~dwang


Comments are most welcome - Please send to 
	DeLiang Wang (dwang@cis.ohio-state.edu)


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FTP instructions:

To retrieve and print the files, use the following commands:

unix> ftp ftp.cis.ohio-state.edu
Name: anonymous
Password: (your email address)
ftp> binary
ftp> cd /pub/leon/Wang96
ftp> get wang.tech96.ps.Z
ftp> get fig4.ps.Z
ftp> quit
unix> uncompress wang.tech96.ps.Z
unix> uncompress fig4.ps.Z
unix> lpr {each of the two postscript files} 
	(wang.tech96.ps may not ghostview well - some figures do not show 
	 up in ghostview - but it should print ok)
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