Neurally imprinted stable vector fields

Lemme A, Neumann K, Reinhart F, Steil JJ (2013)
Presented at the European Symposium on Artificial Neural Networks, (best paper award).

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Conference Paper | Published | English
Abstract
We present a novel learning scheme to imprint stable vector fields into Extreme Learning Machines (ELMs). The networks represent movements, where asymptotic stability is incorporated through constraints derived from Lyapunov stability theory. We show that our approach successfully performs stable and smooth point-to-point movements learned from human handwriting movements.
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European Symposium on Artificial Neural Networks
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(best paper award)
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Lemme A, Neumann K, Reinhart F, Steil JJ. Neurally imprinted stable vector fields. Presented at the European Symposium on Artificial Neural Networks, (best paper award).
Lemme, A., Neumann, K., Reinhart, F., & Steil, J. J. (2013). Neurally imprinted stable vector fields. Presented at the European Symposium on Artificial Neural Networks, (best paper award).
Lemme, A., Neumann, K., Reinhart, F., and Steil, J. J. (2013).“Neurally imprinted stable vector fields”. Presented at the European Symposium on Artificial Neural Networks, (best paper award).
Lemme, A., et al., 2013. Neurally imprinted stable vector fields. Presented at the European Symposium on Artificial Neural Networks, (best paper award).
A. Lemme, et al., “Neurally imprinted stable vector fields”, Presented at the European Symposium on Artificial Neural Networks, (best paper award), 2013.
Lemme, A., Neumann, K., Reinhart, F., Steil, J.J.: Neurally imprinted stable vector fields. Presented at the European Symposium on Artificial Neural Networks, (best paper award) (2013).
Lemme, Andre, Neumann, Klaus, Reinhart, Felix, and Steil, Jochen J. “Neurally imprinted stable vector fields”. Presented at the European Symposium on Artificial Neural Networks, (best paper award), 2013.
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