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The performance of the automatic round lips detector is evaluated on 3184 lips images (10 repetitions of the first speaker).
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Spectral responsivity of trap detector was evaluated to be traceable to the cryogenic radiometer and electrically calibrated pyroelectric detector.
The implemented CoLBP detector performance is evaluated on a real-life scenario as well as its performance is compared to the state-of-the-art Haar-like detector.
The performance and complexity of ID, FSD, and proposed detector are evaluated.
This trained person-detector was evaluated to achieve a spatial average precision of 0.66 compared with human annotation.
In this section, the impact of the NU on the robustness of our proposed detectors is evaluated.
Finally, the performance of the detectors is evaluated by simulations, and the results show that the detectors based on the Bayesian approach outperform the other detectors.
The performance of the proposed detectors is evaluated and compared with those of the cell-averaging (CA), order statistic (OS) and automatic censoring cell-averaging based on ordered data variability (ACCA-OVD) CFAR detectors.
The performance of the proposed detectors is evaluated by means of numerical simulations, showing important advantages over existing detectors.
The performance of the proposed detectors is evaluated through computer simulations in Section 6.
Spatial/temporal heat transfer characteristics are evaluated on MNHS using a local temperature-measuring sensor of resistance temperature detector (RTD).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com