Biometric System and Data Analysis: Design, Evaluation, and Data Mining

Description

Biometric systems are being used in more places and on a larger scale than ever before. As these systems mature, it is vital to ensure the practitioners responsible for development and deployment, have a strong understanding of the fundamentals of tuning biometric systems. The focus of biometric research over the past four decades has typically been on the bottom line: driving down system-wide error rates. In doing so, powerful recognition algorithms have been developed for a number of biometric modalities. These algorithms operate exceedingly well under test conditions.
Books on biometrics tend to focus on biometric systems and their components, and differentiate between the various biometric modalities. Biometric System and Data Analysis: Design, Evaluation, and Data Mining brings together aspects of statistics and machine learning to provide a comprehensive guide to evaluating, interpreting and understanding biometric data. This professional book naturally leads to topics including data mining and prediction, which have been widely applied to other fields but not rigorously to biometrics, to be examined in detail.
Biometric System and Data Analysis: Design, Evaluation, and Data Mining 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 can be used to convey the essence of the statistical concepts to a general audience. This last point is an important one for the increased acceptance of biometrics among non-technical decision makers, and ultimately the general public.
Biometric System and Data Analysis: Design, Evaluation, and Data Mining is designed for a professional audience composed of practitioners and researchers in industry. This book is also suitable as a reference for advanced-level students in computer science and engineering.

Disclaimer:
Contents of this page are indexed from the Internet. All actions are under your responsability. Email us to report illegal contents or external links and we'll remove them immediately.

Please check the description for download links if any or do a search to find alternative books.

Can't Download?
Please search mirrors if you can't find download links for "Biometric System and Data Analysis: Design, Evaluation, and Data Mining" in "Description" and someone else may update the links. Check the comments when back to find any updates.

Search Mirrors
Maybe some mirror pages will be helpful, search this book at top of this page or click here to find more info.

1. Ebooks list page : 2916
2. Biometric System and Data Analysis: Design, Evaluation, and Data Mining
3. Biometric System and Data Analysis: Design, Evaluation, and Data Mining
4. Glenn J. Myatt, ?Making Sense of Data: A Practical Guide to Exploratory Data Analysis and Data Mining?
5. Making Sense of Data: A Practical Guide to Exploratory Data Analysis and Data Mining
6. Making Sense of Data: A Practical Guide to Exploratory Data Analysis and Data Mining
7. Making Sense of Data: A Practical Guide to Exploratory Data Analysis and Data Mining
8. Cluster Analysis for Data Mining and System Identification
9. Symbolic Data Analysis Conceptual Statistics and Data Mining
10. Java Data Mining: Strategy, Standard, and Practice: A Practical Guide for architecture, design, and implementation (The Morgan Kaufmann Series in Data Management Systems)
11. Making Sense of Data II: A Practical Guide to Data Visualization, Advanced Data Mining Methods, and Applications
12. Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data (Data-Centric Systems and Applications)
13. Data Preparation for Data Mining (The Morgan Kaufmann Series in Data Management Systems)
14. Multimedia Data Mining (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
15. Data Mining and Knowledge Discovery Technologies (Advances in Data Warehousing and Mining)
16. Data Mining and Predictive Analysis: Intelligence Gathering and Crime Analysis