標(biāo)題: Titlebook: Biometric System and Data Analysis; Design, Evaluation, Ted Dunstone,Neil Yager Book 2009 Springer-Verlag US 2009 2008 book.Biometric.Data [打印本頁(yè)] 作者: 二足動(dòng)物 時(shí)間: 2025-3-21 18:53
書目名稱Biometric System and Data Analysis影響因子(影響力)
書目名稱Biometric System and Data Analysis影響因子(影響力)學(xué)科排名
書目名稱Biometric System and Data Analysis網(wǎng)絡(luò)公開(kāi)度
書目名稱Biometric System and Data Analysis網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書目名稱Biometric System and Data Analysis被引頻次
書目名稱Biometric System and Data Analysis被引頻次學(xué)科排名
書目名稱Biometric System and Data Analysis年度引用
書目名稱Biometric System and Data Analysis年度引用學(xué)科排名
書目名稱Biometric System and Data Analysis讀者反饋
書目名稱Biometric System and Data Analysis讀者反饋學(xué)科排名
作者: 性冷淡 時(shí)間: 2025-3-21 21:52 作者: JUST 時(shí)間: 2025-3-22 02:25 作者: Interim 時(shí)間: 2025-3-22 04:40
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作者: cluster 時(shí)間: 2025-3-22 09:52 作者: paleolithic 時(shí)間: 2025-3-22 16:30
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作者: synovium 時(shí)間: 2025-3-22 20:49
.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作者: TOXIN 時(shí)間: 2025-3-23 01:00
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作者: 有節(jié)制 時(shí)間: 2025-3-23 03:09 作者: cloture 時(shí)間: 2025-3-23 07:20 作者: TAIN 時(shí)間: 2025-3-23 10:06
Group Evaluation: Data Mining for Biometricsystems 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作者: 痛恨 時(shí)間: 2025-3-23 17:16 作者: Throttle 時(shí)間: 2025-3-23 18:25
Vulnerabilitiesace 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作者: charisma 時(shí)間: 2025-3-23 23:40
Melanie L. D’Amico,Scott Sterlingn, privacy and security - and also spans everything from the simple door lock to huge government systems? This diversity is compounded by the wide biological and behavioral variation in people, making it an intriguing challenge to evaluate, configure and operate a biometric installation. However, re作者: Infusion 時(shí)間: 2025-3-24 03:51
Bruna Sommer-Farias,Ana M. Carvalhonderstanding of biometric matching “from the ground up”. The aim is to demystify some of the calculation of biometric statistics and explain clearly how the different performance measures are derived and interpreted. The concepts introduced in this chapter are repeated in more detail in the relevant作者: Opponent 時(shí)間: 2025-3-24 07:03
Bruna Sommer-Farias,Ana M. Carvalhoiated structure is fundamental to both building robust biometric systems and the analysis of data relationships. However, many systems that are developed do not appropriately reflect these foundations, and as a consequence are less flexible than desired. The ongoing evolution of biometric standards 作者: PAGAN 時(shí)間: 2025-3-24 13:02 作者: nonplus 時(shí)間: 2025-3-24 15:08
,Labour’s Resistance in the Call Centre,. Almost all biometric systems are ‘black boxes’ to their users, and it is only through appropriate testing that a system’s accuracy and performance can be determined. However, this testing process is not always straightforward, as there are many factors that influence performance, and published err作者: 懸崖 時(shí)間: 2025-3-24 19:07 作者: peak-flow 時(shí)間: 2025-3-25 02:13
How Not to Be a Language Racistracy. The manner in which a system is evaluated depends on how it operates. There are two fundamental types of biometric systems: verification systems and identification systems. Verification systems are the subject of Sect. 7.1. The section begins with a review of statistical theory, which is at th作者: 疼死我了 時(shí)間: 2025-3-25 03:36 作者: landfill 時(shí)間: 2025-3-25 10:58 作者: Spinal-Fusion 時(shí)間: 2025-3-25 15:39
Bringing Narrative Discourse to the Field, to conclusively prove one’s identity. This poses a difficult problem for institutions mandated with identity management. Biometrics is an appealing solution, as it provides a link between an individual and who they claim to be. This is not the panacea for all problems at hand, but will undoubtedly 作者: 道學(xué)氣 時(shí)間: 2025-3-25 16:56 作者: nostrum 時(shí)間: 2025-3-25 22:34
https://doi.org/10.1007/978-3-030-80189-2ic system may still be highly vulnerable to attack, as unauthorized users may find alternates ways by which they can be falsely accepted by a system..Compared with the effort expended on determining performance accuracy, significantly less effort has been given to the problem of determining if a pre作者: 補(bǔ)助 時(shí)間: 2025-3-26 00:42
https://doi.org/10.1007/978-0-387-77627-92008 book; Biometric; Data Mining; Evaluation; Performance; algorithms; biometrics; cognition; currentsmp; da作者: nutrition 時(shí)間: 2025-3-26 08:19 作者: engender 時(shí)間: 2025-3-26 10:34
Ted Dunstone,Neil YagerFirst 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作者: CESS 時(shí)間: 2025-3-26 13:30
http://image.papertrans.cn/b/image/188183.jpg作者: Psa617 時(shí)間: 2025-3-26 18:14
Melanie L. D’Amico,Scott Sterlinguction and discussion of biometrics through a common framework..This chapter provides a snapshot of biometric systems and analysis techniques. It previews the contents of the rest of the book, providing a concise introduction to all the main topics. The goals of this chapter are to:作者: justify 時(shí)間: 2025-3-26 21:42 作者: Allege 時(shí)間: 2025-3-27 01:06
,Labour’s Resistance in the Call Centre,implementations have failed to meet expectations. Properly conducted testing can provide crucial information for the planning of a system’s functionality, and the introduction of controls to maximize results..The goals of this chapter are to:作者: BULLY 時(shí)間: 2025-3-27 05:51 作者: aesthetician 時(shí)間: 2025-3-27 12:19 作者: 可以任性 時(shí)間: 2025-3-27 15:21
Performance Testing and Reportingimplementations have failed to meet expectations. Properly conducted testing can provide crucial information for the planning of a system’s functionality, and the introduction of controls to maximize results..The goals of this chapter are to:作者: 注意到 時(shí)間: 2025-3-27 21:33
Book 2009prehensive 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 perf作者: 出價(jià) 時(shí)間: 2025-3-27 22:25
Bringing Narrative Discourse to the Field,play an momentous role in the future of identity management and criminal investigations. This has important implications for the use of biometric data in a commercial and legal setting, which is the subject of this chapter..This chapter is comprised of two sections:作者: 廢除 時(shí)間: 2025-3-28 05:49
How Not to Be a Language Racistt to date to establish standard terminology is ISO/IEC 19795-1, .. This document grew out of previous work in the UK Biometric Working Group’s .. In an effort to help further establish the standards, our definitions endeavor to be consistent with these documents.作者: 徹底明白 時(shí)間: 2025-3-28 07:23 作者: 強(qiáng)所 時(shí)間: 2025-3-28 13:21
Book 2009esigned 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...?.作者: JAUNT 時(shí)間: 2025-3-28 17:35
Proof of Identityplay an momentous role in the future of identity management and criminal investigations. This has important implications for the use of biometric data in a commercial and legal setting, which is the subject of this chapter..This chapter is comprised of two sections:作者: 搬運(yùn)工 時(shí)間: 2025-3-28 20:24
us output (scores) of these systems which leads to a focus o.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 b作者: Etymology 時(shí)間: 2025-3-29 01:52 作者: 全國(guó)性 時(shí)間: 2025-3-29 05:45 作者: 滲入 時(shí)間: 2025-3-29 10:54
An Introduction to Biometric Data Analysisn, privacy and security - and also spans everything from the simple door lock to huge government systems? This diversity is compounded by the wide biological and behavioral variation in people, making it an intriguing challenge to evaluate, configure and operate a biometric installation. However, re作者: Merited 時(shí)間: 2025-3-29 15:10
Biometric Matching Basicsnderstanding of biometric matching “from the ground up”. The aim is to demystify some of the calculation of biometric statistics and explain clearly how the different performance measures are derived and interpreted. The concepts introduced in this chapter are repeated in more detail in the relevant作者: Femish 時(shí)間: 2025-3-29 16:23 作者: 追逐 時(shí)間: 2025-3-29 23:36
Multimodal Systemsystem may use both iris recognition and fingerprint recognition to confirm the identity of a user. The use of multiple information sources helps to address some of the problems faced by real-world unimodal (also known as monomodal) systems, and multimodal biometrics will likely become increasingly c作者: 剝削 時(shí)間: 2025-3-30 00:15 作者: OUTRE 時(shí)間: 2025-3-30 04:43 作者: Confidential 時(shí)間: 2025-3-30 08:31
System Evaluation: The Statistical Basis of Biometric Systemsracy. The manner in which a system is evaluated depends on how it operates. There are two fundamental types of biometric systems: verification systems and identification systems. Verification systems are the subject of Sect. 7.1. The section begins with a review of statistical theory, which is at th
