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標(biāo)題: Titlebook: Computational Methods in Biometric Authentication; Statistical Methods Michael E. Schuckers Book 2010 Springer-Verlag London Limited 2010 [打印本頁]

作者: 水平    時間: 2025-3-21 19:49
書目名稱Computational Methods in Biometric Authentication影響因子(影響力)




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書目名稱Computational Methods in Biometric Authentication被引頻次




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書目名稱Computational Methods in Biometric Authentication讀者反饋學(xué)科排名





作者: 壓碎    時間: 2025-3-21 22:22

作者: 中和    時間: 2025-3-22 03:32
Information Science and Statisticshttp://image.papertrans.cn/c/image/232753.jpg
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作者: 熱心    時間: 2025-3-22 18:38

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https://doi.org/10.1007/978-1-84996-202-5Radiologieinformationssystem; STATISTICA; biometrics; classification; statistics
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978-1-4471-2566-2Springer-Verlag London Limited 2010
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https://doi.org/10.1007/978-3-642-02943-1This chapter is the introduction to this book.
作者: 托運    時間: 2025-3-23 16:22
Substances Containing C10H16...ZnThis chapter is a summary of the statistical methods and theory that underlie the rest of this book.
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Additional Topics and DiscussionIn this chapter, we provide a summational discussion of the topics covered in this book as well as a brief description of some topics not covered by this book.
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作者: 哥哥噴涌而出    時間: 2025-3-25 02:19
False Match Ratengle FNMR as well as for multiple FNMR’s. Large sample as well as bootstrap and randomization approaches to confidence intervals and hypothesis tests are given. This is followed by a section on sample size and power calculations for an FNMR. Prediction intervals for the FNMR are the focus on the nex
作者: synovial-joint    時間: 2025-3-25 04:01

作者: 使出神    時間: 2025-3-25 11:24
Failure to Enrolations, along with prediction interval are presented next. We conclude with a discussion of the work presented here. For the methodologies that we present in this chapter, we have provided at least one example of each; where possible we have used ‘real’ observed data from biometric collections.
作者: enmesh    時間: 2025-3-25 15:36
1613-9011 ce metrics: for each metric, statistical methods are derived for a single system that incorporates confidence intervals, hypothesis tests, sample size calculations, power calculations and prediction intervals. 978-1-4471-2566-2978-1-84996-202-5Series ISSN 1613-9011 Series E-ISSN 2197-4128
作者: 外來    時間: 2025-3-25 18:53
Determine Appropriate Production Model(s)ngle FNMR as well as for multiple FNMR’s. Large sample as well as bootstrap and randomization approaches to confidence intervals and hypothesis tests are given. This is followed by a section on sample size and power calculations for an FNMR. Prediction intervals for the FNMR are the focus on the nex
作者: 掙扎    時間: 2025-3-25 20:57
Adopt Appropriate Production Model(s)statistical methods for equal error rates (EER’s). Our organization for the part of this chapter on EER’s is similar to our structure for ROC inference. We start with estimation for a single EER. This is followed by methodology for comparing two EER’s and then comparing three or more EER’s. Both sec
作者: 護(hù)身符    時間: 2025-3-26 02:48
Experiment 2: Sonority Effects,ations, along with prediction interval are presented next. We conclude with a discussion of the work presented here. For the methodologies that we present in this chapter, we have provided at least one example of each; where possible we have used ‘real’ observed data from biometric collections.
作者: 一加就噴出    時間: 2025-3-26 05:08

作者: AGGER    時間: 2025-3-26 12:04
False Match Rates mismatches biometric signals from two distinct individuals as coming from the same individual. Statistical methods for that rate are the focus of this chapter. We begin with an introduction to false match rates and the notation that we’ll use throughout this chapter. That is followed by a section
作者: implore    時間: 2025-3-26 15:02

作者: EXULT    時間: 2025-3-26 19:04
Failure to Enrolnt of individuals who are unable to be enrolled in a biometric system. (Note that the spelling ‘enrol’ is typical in biometrics rather than the alternative spelling ‘enroll.’) Thus, failure to enrol rate or FTE is one measure of a system’s performance. This chapter lays out statistical methods for e
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作者: ANTI    時間: 2025-3-27 07:43
Select Construction Contract Documentse FNMR’s. These methods are done using both large sample as well as non-parametric methods. A discussion of sample size and power calculation follows that section. We conclude this chapter with a section on prediction intervals and a discussion section.
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作者: PET-scan    時間: 2025-3-27 20:43
Failure to Acquireis chapter with a section on prediction intervals for an FTA and a discussion section reiterating the results for this chapter. For each methodology, we provide examples of that application of that technique to ‘real’ biometric authentication acquisition decisions.
作者: bromide    時間: 2025-3-27 22:32
Book 2010he globe. Biometric authentication, or bioauthentication, systems are being used to secure everything from amusement parks to bank accounts to military installations.Yet developments in this field have not been matched by an equivalent improvement in the statistical methods for evaluating these syst
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pfindliche, gut standardisierte immunchemische Verfahren eine pr?zise Bestimmung der Eisenspeicherproteine und der Eisen-Transportproteine. In der Mehrzahl der F?lle k?nnen Eisenmangelzust?nde und nicht eisenbedingte Ursachen einer An?mie schnell und sicher diagnostiziert werden.Die stürmische Entwi
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