Selective ensemble of SVDDs with Renyi entropy based diversity measure
作者：
Highlights：
• A selective ensemble strategy for support vector data descriptions is proposed.
• The definition of the radius of ensemble is given.
• The Renyi entropy based diversity measure is defined.
• An l1-norm based regularization term is introduced to fulfill selective ensemble.
• The optimization problem is solved by the half-quadratic optimization technique.
摘要
Highlights•A selective ensemble strategy for support vector data descriptions is proposed.•The definition of the radius of ensemble is given.•The Renyi entropy based diversity measure is defined.•An l1-norm based regularization term is introduced to fulfill selective ensemble.•The optimization problem is solved by the half-quadratic optimization technique.
论文关键词：One-class classification,Selective ensemble,Support vector data description,Renyi entropy
论文评审过程：Received 22 August 2015, Revised 25 May 2016, Accepted 25 July 2016, Available online 27 July 2016, Version of Record 8 August 2016.
论文官网地址：https://doi.org/10.1016/j.patcog.2016.07.038
