Knygos.lt nariams
Knygos.lt nariams
- Išsiųsime per 12–18 d.d.
/images/books/10510657/9781499735352.jpg)
- Autorius: U S Department of Commerce
- Leidėjas: CreateSpace Independent Publishing Platform
- Metai: 2014
- Puslapiai: 44
- ISBN-10: 1499735359
- ISBN-13: 9781499735352
- Formatas: 21.6 x 28 x 0.2 cm, minkšti viršeliai
- Kalba: Anglų
Sensitivity Analysis for Biometric Systems (el. knyga) (skaityta knyga) | knygos.lt
Atsiliepimai
Aprašymas
The purpose of this paper is to introduce an effective and structured methodology for carrying out a biometric system sensitivity analysis. The goal of sensitivity analysis is to provide the researcher/developer with the insight and understanding of the key factors-algorithmic, subject-based, camera-based, procedural, image quality, environmental, among others-that affect the matching performance of the biometric system under study. This proposed methodology consists of two steps: 1) the design and execution of orthogonal fractional factorial experiment designs which allows the scientist to efficiently investigate the effect of a large number of factors-and interactions-simultaneously, and 2) the use of a select set of statistical data analysis graphical procedures which are fine-tuned to unambiguously highlight important factors, important interactions, and locally-optimal settings.
- Autorius: U S Department of Commerce
- Leidėjas: CreateSpace Independent Publishing Platform
- Metai: 2014
- Puslapiai: 44
- ISBN-10: 1499735359
- ISBN-13: 9781499735352
- Formatas: 21.6 x 28 x 0.2 cm, minkšti viršeliai
- Kalba: Anglų
The purpose of this paper is to introduce an effective and structured methodology for carrying out a biometric system sensitivity analysis. The goal of sensitivity analysis is to provide the researcher/developer with the insight and understanding of the key factors-algorithmic, subject-based, camera-based, procedural, image quality, environmental, among others-that affect the matching performance of the biometric system under study. This proposed methodology consists of two steps: 1) the design and execution of orthogonal fractional factorial experiment designs which allows the scientist to efficiently investigate the effect of a large number of factors-and interactions-simultaneously, and 2) the use of a select set of statistical data analysis graphical procedures which are fine-tuned to unambiguously highlight important factors, important interactions, and locally-optimal settings.
Atsiliepimai