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Analysis of the CEM-14-Long-Term database.
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posted on 02.06.2017, 17:42
by
Lee Friedman
,
Mark S. Nixon
,
Oleg V. Komogortsev
See caption for
Fig 2
.
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Method to assess the temporal persistence of potential biometric features: Application to oculomotor, gait, face and brain structure databases
PLOS ONE
Categories
Molecular Biology
Biotechnology
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
Science Policy
Keywords
Equal Error Rate
biometric features
eye movement-driven biometrics
brain structure databases
EER
Rank -1-IR performance
Rank -1-Identification Rate
similarity score distribution increases
ICC
intraclass correlation coefficient
14 databases
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CC BY 4.0
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