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Updated: May 6, 2026

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
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Published on: June 3, 2013

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一个两阶段的噪音耐受性范式,用于标签腐败的人重新识别.

Min Liu, Fei Wang, Xueping Wang

    IEEE transactions on pattern analysis and machine intelligence
    |February 2, 2024
    PubMed
    概括

    本研究引入了一种新的两阶段耐噪范式 (TSNT),用于解决受监督人员重新识别 (Re-ID) 中损坏的标签. 通过改进样本和使用协同培训来实现强大的学习,TSNT显著提高了噪音数据集的准确性.

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    相关概念视频

    Difference from Background: Limit of Detection01:05

    Difference from Background: Limit of Detection

    The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
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