Generalized mean for feature extraction in one-class classification problems

作者：

Highlights：

• Generalized mean is used for BDA in place of arithmetic mean.

• The proposed method is more robust to outliers than the other alternative methods.

• We also propose a novel method to efficiently maximize the generalized mean.

摘要

Highlights•Generalized mean is used for BDA in place of arithmetic mean.•The proposed method is more robust to outliers than the other alternative methods.•We also propose a novel method to efficiently maximize the generalized mean.

论文关键词：Generalized mean,Biased discriminant analysis,Feature extraction,Dimensionality reduction,One-class classification

论文评审过程：Received 9 October 2012, Revised 1 May 2013, Accepted 14 June 2013, Available online 26 June 2013.

论文官网地址：https://doi.org/10.1016/j.patcog.2013.06.018