LSTM Recurrent Neural Networks for Signature Verification: A Novel Approach

Conrad Tiflin

ISBN 10: 3846589942 ISBN 13: 9783846589946

Editorial: LAP LAMBERT Academic Publishing 2012-02-06, 2012

Idioma: Ingl�s

Condici�n: Nuevo Encuadernaci�n de tapa blanda

Guardar para m�s tarde

Vendido por Chiron Media, Wallingford, Reino Unido

Vendedor de AbeBooks desde 2 de agosto de 2010

Calificaci�n del vendedor: 4 de 5 estrellas

Ver los art�culos de este vendedor

Ver todos los ejemplares de este libro

Nuevos - Encuadernaci�n de tapa blanda

Condici�n: Nuevo

Precio: EUR 44,47 Convertir moneda

EUR 17,29 gastos de env�o desde Reino Unido a Espa�a Destinos, gastos y plazos de env�o

Cantidad disponible: 10 disponibles

A�adir al carrito

Guardar para m�s tarde

Descripci�n

N� de ref. del art�culo 6666-IUK-9783846589946

Contactar al vendedor

Denunciar este art�culo

Detalles bibliogr�ficos

T�tulo

LSTM Recurrent Neural Networks for Signature Verification: A Novel Approach

Editor

LAP LAMBERT Academic Publishing 2012-02-06

Fecha de publicaci�n

2012

Idioma

Ingl�s

ISBN 10

3846589942

ISBN 13

9783846589946

Encuadernaci�n

Paperback

Estado

New

Cat�logos de vendedores

Acerca de

Sinopsis

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.

Acerca del autor

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.

"Sobre este t�tulo" puede pertenecer a otra edici�n de este libro.

Descripci�n de la librer�a

Ver la p�gina web de la librer�a

Informaci�n empresarial del vendedor

WRAP Ltd
Unit 4, 119 Loverock Rd, Reading, RG30 1DZ, United Kingdom

Condiciones de venta y env�o

Condiciones de venta

TBA

Derecho a cancelaci�n

Condiciones de env�o

Shipping costs are based on books weighing 2.2 LB, or 1 KG. If your book order is heavy or oversized, we may contact you to let you know extra shipping is required.

Tarifas de env�o de Reino Unido a Espa�a

Tarifas de env�o de Reino Unido a Espa�a
Cantidad del pedido	De 14 a 21 d�as h�biles	De 14 a 21 d�as h�biles
Primer art�culo	EUR 17.29	EUR 17.29

Los plazos de entrega los establecen los vendedores y var�an seg�n el transportista y la ubicaci�n. Los pedidos que pasan por la aduana pueden sufrir retrasos y los compradores son responsables de los aranceles o tarifas asociadas. Los vendedores pueden ponerse en contacto con usted en relaci�n con cargos adicionales para cubrir cualquier aumento en los costes de env�o de los art�culos.