Statistical evaluation of computationa geometry and neural network classification methods for person identification purposes via the EEG

Bibliographic Details
Main Authors: Πούλος,Μ., Καφετζόπουλος, Ε., Ραγκούση, Μαρία, Γεωργιακώδης, Φώτης
Format: Article
Language:English
Published: 2005
Online Access:http://cris.lib2.uniwa.gr/jspui/handle/123456789/24
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author Πούλος,Μ.
Καφετζόπουλος, Ε.
Ραγκούση, Μαρία
Γεωργιακώδης, Φώτης
author_facet Πούλος,Μ.
Καφετζόπουλος, Ε.
Ραγκούση, Μαρία
Γεωργιακώδης, Φώτης
author_sort Πούλος,Μ.
collection Current Research Information System
format Άρθρο
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language English
publishDate 2005
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spelling cris-123456789-242018-12-13T13:24:47Z Statistical evaluation of computationa geometry and neural network classification methods for person identification purposes via the EEG Πούλος,Μ. Καφετζόπουλος, Ε. Ραγκούση, Μαρία Γεωργιακώδης, Φώτης 2005 Άρθρο http://cris.lib2.uniwa.gr/jspui/handle/123456789/24 2169-0065 en
spellingShingle Πούλος,Μ.
Καφετζόπουλος, Ε.
Ραγκούση, Μαρία
Γεωργιακώδης, Φώτης
Statistical evaluation of computationa geometry and neural network classification methods for person identification purposes via the EEG
title Statistical evaluation of computationa geometry and neural network classification methods for person identification purposes via the EEG
title_full Statistical evaluation of computationa geometry and neural network classification methods for person identification purposes via the EEG
title_fullStr Statistical evaluation of computationa geometry and neural network classification methods for person identification purposes via the EEG
title_full_unstemmed Statistical evaluation of computationa geometry and neural network classification methods for person identification purposes via the EEG
title_short Statistical evaluation of computationa geometry and neural network classification methods for person identification purposes via the EEG
title_sort statistical evaluation of computationa geometry and neural network classification methods for person identification purposes via the eeg
url http://cris.lib2.uniwa.gr/jspui/handle/123456789/24