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Biologically-Inspired Approach to Recognizing Dangerous Objects.
James L. Eilbert
Published in:
AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2009)
Keyphrases
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biologically inspired
biologically plausible
receptive fields
learning rules
recognizing objects
colour image segmentation
biological systems
recurrent networks
center surround
d objects
scene classification
spiking neural networks
mobile robot
humanoid robot
object level
potential field