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A machine-learning system to optimise the performance of a biometric system

机译:一种用于优化生物识别系统性能的机器学习系统

摘要

Summarizing, the application relates to a machine-learning system for adaptively changing a matching threshold of a biometric system. The machine-learning system comprises a batch aggregator device operable to receive input data from the biometric system via a communication interface and to aggregate a batch of at least some of the received input data. The machine-learning system further comprises a learning expert device operable to compute a new suggestion for a matching threshold value of the biometric system based on the aggregated batch. Finally, the machine-learning system comprises an output device operable to output the computed new suggestion for the matching threshold of the biometric system via the communication interface.
机译:总而言之,本申请涉及一种用于自适应地改变生物统计系统的匹配阈值的机器学习系统。机器学习系统包括批处理聚合器设备,该批处理聚合器设备可操作以经由通信接口从生物统计系统接收输入数据并且聚合至少一部分接收的输入数据。机器学习系统还包括学习专家设备,该学习专家设备可操作以基于聚集的批次来计算针对生物统计系统的匹配阈值的新建议。最后,机器学习系统包括输出设备,该输出设备可操作以经由通信接口输出针对生物统计系统的匹配阈值的计算出的新建议。

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