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(2) The McSURF is an excellent FER application method.
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Face registration in both the testing and training sets can improve the robustness of these algorithms in FER applications.
Based on our experimental results, we analyzed the impact of face registration on both the learning and recognition stages, obtaining detailed answers on how face registration works on AdaBoost-based algorithms and why it can improve the robustness of these algorithms in FER applications.
Using peak signal-to-noise ratio (PSNR) and frame error ratio (FER) metrics to evaluate the impact of SEUs at application-level, we show that NoC-based decoder gives up to 4 dB higher PSNR, while AMBA experiences up to 3% lower FER.
Existing FER methods do not have high accuracy and are not sufficient practical in real-time applications.
A typical application scenario is shown in Figure 1, where a set of first-emergency responders (FERs) are surrounding a building under siege with hostages inside.
"Go fer yer par.
Summer's fer idjits.
Aal workin' fer ye.
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