Friedman, L.; Stern, H.S.; Price, L.R.; Komogortsev, O.V.
Why Temporal Persistence of Biometric Features, as Assessed by the Intraclass Correlation Coefficient, Is So Valuable for Classification Performance. Sensors 2020, 20, 4555.
https://doi.org/10.3390/s20164555
AMA Style
Friedman L, Stern HS, Price LR, Komogortsev OV.
Why Temporal Persistence of Biometric Features, as Assessed by the Intraclass Correlation Coefficient, Is So Valuable for Classification Performance. Sensors. 2020; 20(16):4555.
https://doi.org/10.3390/s20164555
Chicago/Turabian Style
Friedman, Lee, Hal S. Stern, Larry R. Price, and Oleg V. Komogortsev.
2020. "Why Temporal Persistence of Biometric Features, as Assessed by the Intraclass Correlation Coefficient, Is So Valuable for Classification Performance" Sensors 20, no. 16: 4555.
https://doi.org/10.3390/s20164555
APA Style
Friedman, L., Stern, H. S., Price, L. R., & Komogortsev, O. V.
(2020). Why Temporal Persistence of Biometric Features, as Assessed by the Intraclass Correlation Coefficient, Is So Valuable for Classification Performance. Sensors, 20(16), 4555.
https://doi.org/10.3390/s20164555