TITLE:
Laplacian Maximum Margin Criterion for Image Recognition
AUTHORS:
Fang Chen, Jing Wang, Quanxue Gao
KEYWORDS:
Laplacian Embedding, Local Intrinsic Structure, Global Structure, Face Recognition
JOURNAL NAME:
Journal of Computer and Communications,
Vol.3 No.11,
November
19,
2015
ABSTRACT: Previous works have
demonstrated that Laplacian embedding can well preserve the local intrinsic
structure. However, it ignores the diversity and may impair the local topology
of data. In this paper, we build an objective function to learn the local
intrinsic structure that characterizes both the local similarity and diversity
of data, and then combine it with global structure to build a scatter
difference criterion. Experimental results in face recognition show the
effectiveness of our proposed approach.