{"title":"噪声信道情况下不同用户识别方法的有效性研究","authors":"A. Pashentsev, V. Vedishchev","doi":"10.1109/SUMMA48161.2019.8947481","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":163496,"journal":{"name":"2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The Effectiveness Research of Different Methods of a user Identification in the Noisy Channel Case\",\"authors\":\"A. Pashentsev, V. Vedishchev\",\"doi\":\"10.1109/SUMMA48161.2019.8947481\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":163496,\"journal\":{\"name\":\"2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA)\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SUMMA48161.2019.8947481\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SUMMA48161.2019.8947481","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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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