LSTM Recurrent Neural Networks for Signature Verification: A Novel Approach - Tapa blanda

Tiflin, Conrad

9783846589946: LSTM Recurrent Neural Networks for Signature Verification: A Novel Approach

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ISBN 10: 3846589942 ISBN 13: 9783846589946

Editorial: LAP Lambert Academic Publishing, 2012

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The author investigated the application of Long Short-Term Memory (LSTM) Recurrent Neural Networks (RNNs) to the task of signature verification. Traditional RNNs are capable of modeling dynamical systems with hidden states; they have been successfully applied to domains ranging from financial forecasting to control and speech recognition. This manuscript is the result of successfully applying on-line signature time series data to traditional LSTM, LSTM with forget gates and LSTM with peephole connections algorithms originally developed by S. Hochreiter and J. Schmidhuber. It can be clearly seen in this pattern classification problem that traditional LSTM RNNs outperform LSTMs with forget gates and peephole connections. The latter also outperform traditional RNNs which cannot seem to even learn this task due to the long-term dependency problem.

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Conrad completed his Masters Degree with Cum Laude with the Intelligent Systems Group of the Department of Computer Science at the University of the Western Cape. His research interests span Recurrent Neural Networks (RNNs) and their applications to time series prediction as well as the application thereof to Biometric technologies.

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Editorial: LAP Lambert Academic Publishing
A�o de publicaci�n: 2012
Idioma: Ingl�s
ISBN 10: 3846589942
ISBN 13: 9783846589946
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LSTM Recurrent Neural Networks for Signature Verification: A Novel Approach

Tiflin, Conrad

Publicado por LAP LAMBERT Academic Publishing, 2012

ISBN 10: 3846589942 ISBN 13: 9783846589946

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LSTM Recurrent Neural Networks for Signature Verification A Novel Approach

Tiflin, Conrad

Publicado por LAP LAMBERT Academic Publishing, 2012

ISBN 10: 3846589942 ISBN 13: 9783846589946

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LSTM Recurrent Neural Networks for Signature Verification A Novel Approach

Tiflin, Conrad

Publicado por LAP LAMBERT Academic Publishing, 2012

ISBN 10: 3846589942 ISBN 13: 9783846589946

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LSTM Recurrent Neural Networks for Signature Verification: A Novel Approach

Tiflin, Conrad

Publicado por LAP LAMBERT Academic Publishing, 2012

ISBN 10: 3846589942 ISBN 13: 9783846589946

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LSTM Recurrent Neural Networks for Signature Verification

Conrad Tiflin

Publicado por LAP LAMBERT Academic Publishing Feb 2012, 2012

ISBN 10: 3846589942 ISBN 13: 9783846589946

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Taschenbuch. Condici�n: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The author investigated the application of Long Short-Term Memory (LSTM) Recurrent Neural Networks (RNNs) to the task of signature verification. Traditional RNNs are capable of modeling dynamical systems with hidden states; they have been successfully applied to domains ranging from financial forecasting to control and speech recognition. This manuscript is the result of successfully applying on-line signature time series data to traditional LSTM, LSTM with forget gates and LSTM with peephole connections algorithms originally developed by S. Hochreiter and J. Schmidhuber. It can be clearly seen in this pattern classification problem that traditional LSTM RNNs outperform LSTMs with forget gates and peephole connections. The latter also outperform traditional RNNs which cannot seem to even learn this task due to the long-term dependency problem. 104 pp. Englisch. N� de ref. del art�culo: 9783846589946

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LSTM Recurrent Neural Networks for Signature Verification

Conrad Tiflin

Publicado por LAP LAMBERT Academic Publishing, 2012

ISBN 10: 3846589942 ISBN 13: 9783846589946

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Condici�n: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Tiflin ConradConrad completed his Masters Degree with Cum Laude with the Intelligent Systems Group of the Department of Computer Science at the University of the Western Cape. His research interests span Recurrent Neural Networks (RN. N� de ref. del art�culo: 5501659

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LSTM Recurrent Neural Networks for Signature Verification (Paperback or Softback)

Tiflin, Conrad

Publicado por LAP Lambert Academic Publishing 2/6/2012, 2012

ISBN 10: 3846589942 ISBN 13: 9783846589946

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Paperback or Softback. Condici�n: New. LSTM Recurrent Neural Networks for Signature Verification 0.36. Book. N� de ref. del art�culo: BBS-9783846589946

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LSTM Recurrent Neural Networks for Signature Verification : A Novel Approach

Conrad Tiflin

Publicado por LAP LAMBERT Academic Publishing, 2012

ISBN 10: 3846589942 ISBN 13: 9783846589946

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Taschenbuch. Condici�n: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The author investigated the application of Long Short-Term Memory (LSTM) Recurrent Neural Networks (RNNs) to the task of signature verification. Traditional RNNs are capable of modeling dynamical systems with hidden states; they have been successfully applied to domains ranging from financial forecasting to control and speech recognition. This manuscript is the result of successfully applying on-line signature time series data to traditional LSTM, LSTM with forget gates and LSTM with peephole connections algorithms originally developed by S. Hochreiter and J. Schmidhuber. It can be clearly seen in this pattern classification problem that traditional LSTM RNNs outperform LSTMs with forget gates and peephole connections. The latter also outperform traditional RNNs which cannot seem to even learn this task due to the long-term dependency problem. N� de ref. del art�culo: 9783846589946

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