Heterogeneous feature structure fusion for classification

作者：

Highlights：

• The external and internal feature structures are jointly optimized for fusion.

• Two kinds of feature structures are preserved via a unified feature projection.

• The nonlinear relationship between two kinds of feature structures is revealed.

• The new feature fusion algorithm shows great promise in four classification problems.

摘要

Highlights•The external and internal feature structures are jointly optimized for fusion.•Two kinds of feature structures are preserved via a unified feature projection.•The nonlinear relationship between two kinds of feature structures is revealed.•The new feature fusion algorithm shows great promise in four classification problems.

论文关键词：Internal structure,External structure,Heterogeneous feature structure,Object classification

论文评审过程：Received 10 April 2015, Revised 27 August 2015, Accepted 17 October 2015, Available online 26 October 2015, Version of Record 8 February 2016.

论文官网地址：https://doi.org/10.1016/j.patcog.2015.10.013