This book brings together aspects of statistics and machine learning to provide a comprehensive guide to evaluating, interpreting and understanding biometric data. The evaluation techniques are presented rigorously and are accompanied by intuitive explanations. Num Pages: 268 pages, 10 black & white tables, biography. BIC Classification: PBT; PDE; PS. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 17. Weight in Grams: 1280. . 2008. Hardback. . . . . Books ship from the US and Ireland.

Codice articolo V9780387776255

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Dati bibliografici

Titolo: Biometric System and Data Analysis
Editore: Springer-Verlag New York Inc.
Data di pubblicazione: 2008
Lingua: Inglese
ISBN 10: 0387776257
ISBN 13: 9780387776255
Rilegatura: Rilegato
Condizione: New

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Riassunto

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.

Dalla quarta di copertina

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.

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