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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.
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icann05_maurer_billard.pdf
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openaccess
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1.49 MB
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Adobe PDF
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