conference paper
Extended Hopfield Network for Sequence Learning: Application to Gesture Recognition
2005
Artificial Neural Networks: Biological Inspirations – ICANN 2005
In this paper, we extend the Hopfield Associative Memory for storing multiple sequences of varying duration. We apply the model for learning, recognizing and encoding a set of human gestures. We measure systematically the performance of the model against noise.
Type
conference paper
Author(s)
Date Issued
2005
Published in
Artificial Neural Networks: Biological Inspirations – ICANN 2005
Start page
493
End page
498
Editorial or Peer reviewed
REVIEWED
Written at
EPFL
EPFL units
| Event name | Event date |
2005-09-05 | |
Available on Infoscience
November 16, 2005
Use this identifier to reference this record