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Titlebook: Biometric System and Data Analysis; Design, Evaluation, Ted Dunstone,Neil Yager Book 2009 Springer-Verlag US 2009 2008 book.Biometric.Data

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發(fā)表于 2025-3-21 18:53:40 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Biometric System and Data Analysis
期刊簡(jiǎn)稱Design, Evaluation,
影響因子2023Ted Dunstone,Neil Yager
視頻videohttp://file.papertrans.cn/189/188183/188183.mp4
發(fā)行地址First book to focus on aspects common to all biometric recognition systems, including input data (biometrics images, and person metadata) plus output (scores) of these systems which leads to a focus o
圖書封面Titlebook: Biometric System and Data Analysis; Design, Evaluation,  Ted Dunstone,Neil Yager Book 2009 Springer-Verlag US 2009 2008 book.Biometric.Data
影響因子.Biometric? System and Data Analysis: Design, Evaluation, and Data Mining. brings together aspects of statistics and machine learning to provide a comprehensive guide to evaluate, interpret and understand biometric data. This professional book naturally leads to topics including data mining and prediction--widely applied to other fields but not rigorously to biometrics--to be examined in detail...This volume places an emphasis on the various performance measures available for biometric systems, what they mean, and when they should and should not be applied. The evaluation techniques are presented rigorously, however are always accompanied by intuitive explanations that?convey the essence of the statistical concepts to a general audience...Designed for a professional audience composed of practitioners and researchers in industry, .Biometric? System and Data Analysis: Design, Evaluation, and Data Mining. is also suitable as a reference for advanced-level students in computer science and engineering...?.
Pindex Book 2009
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How Not to Be a Language Racistystems that have groups of problem users:.As these examples illustrate, there are many potential reasons why a particular group may perform poorly. Large, integrated, full-scale production systems are complex and have many sources of data. Each of these sources introduce new factors that potentially
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https://doi.org/10.1007/978-3-030-80189-2ace appropriate risk mitigations. Secrecy about avenues of attack can help potential fraudsters more than the disclosure of risks, since where the risks are not understood by the system owners, attack methods may be easily exploited. The principle of security through transparency is accepted practic
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.Biometric? System and Data Analysis: Design, Evaluation, and Data Mining. is also suitable as a reference for advanced-level students in computer science and engineering...?.978-1-4419-4595-2978-0-387-77627-9
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Biometric Dataareto principle, it is likely that 80% of problems in a system are due to just 20% of poor quality enrollments and acquisitions. Consequently, examining issues related to biometric data is useful and informative, as it gives an appreciation for real world challenges in deploying a biometric solution
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