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1)  error probability in recognizing
误识别率
1.
According to some improvements in respect of real-time character, a good target recognition algorithm with low error probability in recognizing and high veracity is obtained.
本文在分析了现有的目标识别方法优缺点的基础上,提出了一种灰度与特征匹配相结合的识别方法,并从实时性等方面对算法进行了改进,得到了一种误识别率低、准确性高且能用于实时目标跟踪系统中的目标识别方法。
2)  false call probability
错误识别概率
1.
The three variables of the probability of detection,the false call probability and the probability of presence of a crack are adopted for completely characterizing nondestructive inspection performances.
针对上述问题,本文提出了基于风险的船舶结构无损检测功能分级方法,采用检测概率、错误识别概率和裂纹出现概率度量检测功能,并修正了错误识别概率的取值范围。
2.
The three variables of the probability of detection, the false call probability and the probability of presence of a crack are adopted for completely characterizing nondestructive inspection performances.
提出了基于风险的海洋结构物无损检测功能分级方法,采用检测概率、错误识别概率和裂纹出现概率度量检测功能,并修正了错误识别概率的取值范围。
3)  recognition error
识别误差
4)  misunderstanding acknowledgement
误区识别
5)  recognition error
识别错误
1.
Classification analysis of speech recognition errors;
语音识别错误的分类分析
6)  mistake probability
误识概率
补充资料:误打误撞
1.谓事先未经周密考虑。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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