Novelty detection employing an L2 optimal non-parametric density estimator
نویسندگان
چکیده
This paper considers the application of a recently proposed L2 optimal nonparametric Reduced Set Density Estimator to novelty detection and binary classification and provides empirical comparisons with other forms of density estimation as well as Support Vector Machines.
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ورودعنوان ژورنال:
- Pattern Recognition Letters
دوره 25 شماره
صفحات -
تاریخ انتشار 2004