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33rd Applied Imagery Pattern Recognition Workshop (AIPR'04)
Complex Neural Networks as Future Tools in Imagery Analysis
Cosmos Club, Washington, DC
October 13-October 15
ISBN: 0-7695-2250-5
ASCII Text
x 
 
Olaf Sporns, "Complex Neural Networks as Future Tools in Imagery Analysis," Applied Image Pattern Recognition Workshop,, pp. 67-72, 33rd Applied Imagery Pattern Recognition Workshop (AIPR'04), 2004.
 
 
BibTex
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@article{ 10.1109/AIPR.2004.19,
author = {Olaf Sporns},
title = {Complex Neural Networks as Future Tools in Imagery Analysis},
journal ={Applied Image Pattern Recognition Workshop,},
volume = {0},
year = {2004},
issn = {1550-5219},
pages = {67-72},
doi = {http://doi.ieeecomputersociety.org/10.1109/AIPR.2004.19},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Applied Image Pattern Recognition Workshop,
TI - Complex Neural Networks as Future Tools in Imagery Analysis
SN - 1550-5219
SP67
EP72
A1 - Olaf Sporns,
PY - 2004
KW - null
VL - 0
JA - Applied Image Pattern Recognition Workshop,
ER -
 
Olaf Sporns, Indiana University, Bloomington, IN
Brain networks are uniquely capable of generating and integrating information collected from multiple sources in real time. The application of structural and information theoretical measures to such networks has begun to unravel the crucial ingredients that ensure their rapid and robust performance. We suggest the use of information theoretical measures in applications that mimic some of these biological processing principles. We discuss candidate measures, their implementation in neural networks, their applicability to various sets of artificial and natural stimuli, and their future use in the automated analysis of aerial images.
Citation:
Olaf Sporns, "Complex Neural Networks as Future Tools in Imagery Analysis," aipr, pp.67-72, 33rd Applied Imagery Pattern Recognition Workshop (AIPR'04), 2004
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