Discriminative metric learning for multi-view graph partitioning

作者：

Highlights：

• We propose discriminative metric learning for multi-view graph partitioning.

• We envision the multi-view graph as an adaptive dynamic system.

• The intra-view connections and the inter-view couplings are interplayed.

• Extensive experiments have been conducted to show the effectiveness.

摘要

•We propose discriminative metric learning for multi-view graph partitioning.•We envision the multi-view graph as an adaptive dynamic system.•The intra-view connections and the inter-view couplings are interplayed.•Extensive experiments have been conducted to show the effectiveness.

论文关键词：Discriminative metric learning,Multi-view,Graph partitioning,Permanence,Modularity

论文评审过程：Received 15 November 2016, Revised 27 May 2017, Accepted 7 June 2017, Available online 8 June 2017, Version of Record 21 November 2017.

论文官网地址：https://doi.org/10.1016/j.patcog.2017.06.012