Laplacian Maximum Margin Criterion for Image Recognition
Laplacian Maximum Margin Criterion for Image Recognition作者机构：State Key Laboratory of Integrated Services Networks Xidian University Xi’an China School of Telecommunications Engineering Xidian University Xi’an China
出 版 物：《Journal of Computer and Communications》 (电脑和通信（英文）)
年 卷 期：2015年第3卷第11期
页 面：58-63页
学科分类：07[理学] 0701[理学-数学] 070101[理学-基础数学]
主 题：Laplacian Embedding Local Intrinsic Structure Global Structure Face Recognition
摘 要：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.
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