噪声信道情况下不同用户识别方法的有效性研究

2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA) Pub Date : 2019-11-01 DOI:10.1109/SUMMA48161.2019.8947481

A. Pashentsev, V. Vedishchev

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引用次数: 1

摘要

如今，生物识别已成为我们生活的一部分，有理由确定在噪声信道情况下应用不同的用户识别方法的可能性，即使用机器学习方法和apache spark框架来处理用户语音或人脸图像等输入数据。

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The Effectiveness Research of Different Methods of a user Identification in the Noisy Channel Case

Nowadays the biometric identification is a part of our life and there are reasons for determining the possibility of applying different methods of a user identification in noisy channel case by using the machine learning approach and the apache spark framework for processing input data such as a user voice or a face image.

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2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA)

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