Graph Regularized Within-Class Sparsity Preserving Projection for Face Recognition

Graph Regularized Within-Class Sparsity Preserving Projection for Face Recognition

As a dominant method for face recognition, the subspace learning algorithm shows desirable performance. Manifold learning can deal with the nonlinearity hidden in the data, and can project high dimensional data onto low dimensional data while preserving manifold structure. Sparse representation sho...

Full description

Bibliographic Details
Main Authors: Songjiang Lou, Xiaoming Zhao, Wenping Guo, Ying Chen
Format: Article
Language:English
Published: MDPI AG 2015-04-01
Series:Information
Subjects:
dimensionality reduction
sparse representation
graph embedding
face recognition
Online Access:http://www.mdpi.com/2078-2489/6/2/152

Internet

http://www.mdpi.com/2078-2489/6/2/152

Similar Items