Laplacian Maximum Margin Criterion for Image Recognition

• 作者: Fang Chen Jing Wang Quanxue Gao
• 来源期刊: 电脑和通信(英文)
• 学科: 数学
• 关键词: LAPLACIAN EMBEDDING Local INTRINSIC STRUCTURE Global STRUCTURE FACE RECOGNITION
• 年，卷（期）: 2015,（11）
• 页码范围: 58-63
• 页数: 6页
• 分类号: O1

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.