Self-learning for face clustering

作者：

Highlights：

• A self-learning framework including image decorrelation and a self-paced learning process, for face clustering.

• Providing quantitative analysis on the Gaussian distribution of global and local whitening faces.

• A novel self-paced learning model for face clustering, inspired by the learning process of human.

摘要

•A self-learning framework including image decorrelation and a self-paced learning process, for face clustering.•Providing quantitative analysis on the Gaussian distribution of global and local whitening faces.•A novel self-paced learning model for face clustering, inspired by the learning process of human.

论文关键词：Face clustering,Patch-based two-dimensional reconstruction,Self-paced learning

论文评审过程：Received 23 October 2017, Revised 27 January 2018, Accepted 10 February 2018, Available online 15 February 2018, Version of Record 24 February 2018.

论文官网地址：https://doi.org/10.1016/j.patcog.2018.02.008