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This book brings together aspects of statistics and machine
learning to provide a comprehensive guide to evaluating,
interpreting and understanding biometric data. It naturally leads
to topics including data mining and prediction to be examined in
detail. The book 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 they are always accompanied by
intuitive explanations. This is important for the increased
acceptance of biometrics among non-technical decision makers, and
ultimately the general public.
This book brings together aspects of statistics and machine
learning to provide a comprehensive guide to evaluating,
interpreting and understanding biometric data. It naturally leads
to topics including data mining and prediction to be examined in
detail. The book 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 they are always accompanied by
intuitive explanations. This is important for the increased
acceptance of biometrics among non-technical decision makers, and
ultimately the general public.
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