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Detalhes Referência

Tipo
Artigos em Conferência

Tipo de Documento
Artigo Completo

Título
ECG-based Biometrics using a Deep Autoencoder for Feature Learning - An Empirical Study on Transferability

Participantes na publicação
Afonso Eduardo (Author)
Helena Aidos (Author)
Dep. Informática
LASIGE
Ana Fred (Author)

Data de Publicação
2017

Instituição
FACULDADE DE CIÊNCIAS DA UNIVERSIDADE DE LISBOA

Evento
Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods

Identificadores da Publicação
ISBN - 9789897582226

Local
Porto, Portugal

Editora
SCITEPRESS - Science and Technology Publications

Identificadores do Documento
DOI - https://doi.org/10.5220/0006195404630470
URL - http://dx.doi.org/10.5220/0006195404630470


Exportar referência

APA
Afonso Eduardo, Helena Aidos, Ana Fred, (2017). ECG-based Biometrics using a Deep Autoencoder for Feature Learning - An Empirical Study on Transferability. Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, -

IEEE
Afonso Eduardo, Helena Aidos, Ana Fred, "ECG-based Biometrics using a Deep Autoencoder for Feature Learning - An Empirical Study on Transferability" in Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, Porto, Portugal, 2017, pp. -, doi: 10.5220/0006195404630470

BIBTEX
@InProceedings{43422, author = {Afonso Eduardo and Helena Aidos and Ana Fred}, title = {ECG-based Biometrics using a Deep Autoencoder for Feature Learning - An Empirical Study on Transferability}, booktitle = {Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods}, year = 2017, pages = {-}, address = {Porto, Portugal}, publisher = {SCITEPRESS - Science and Technology Publications} }