Discriminative sparsity preserving projections for image recognition

作者：

Highlights：

• We analyzed the vertex points of penalty graph using sparse representation.

• We adaptively constructed both penalty adjacency graph and intrinsic graph.

• Our method simultaneously considered the global and local geometric structure of data.

摘要

•We analyzed the vertex points of penalty graph using sparse representation.•We adaptively constructed both penalty adjacency graph and intrinsic graph.•Our method simultaneously considered the global and local geometric structure of data.

论文关键词：Dimensionality reduction,Manifold learning,Sparse representation,Image Recognition

论文评审过程：Received 3 July 2014, Revised 9 February 2015, Accepted 18 February 2015, Available online 27 February 2015.

论文官网地址：https://doi.org/10.1016/j.patcog.2015.02.015