A novel semi-supervised learning for face recognition

被引:31
作者
Gao, Quanxue [1 ]
Huang, Yunfang [1 ]
Gao, Xinbo [1 ,2 ]
Shen, Weiguo [1 ]
Zhang, Hailin [1 ]
机构
[1] Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Shaanxi, Peoples R China
[2] Xidian Univ, Sch Elect Engn, Xian 710071, Shaanxi, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Semi-supervised learning; Discriminant analysis; Dimension reduction; Diversity; DIMENSIONALITY REDUCTION; FRAMEWORK; SUBSPACE;
D O I
10.1016/j.neucom.2014.11.018
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Laplacian embedding (LE) has been widely used to learn the intrinsic structure of data. However, LE ignores the diversity and may impair the local topology of data, resulting in unstable and inexact intrinsic structure representation. In this article, we build an objective function to learn the intrinsic structure that well characterizes both the similarity and diversity of data, and then incorporate this structure representation into linear discriminant analysis to build a semi-supervised approach, called stable semi-supervised discriminant learning (SSDL). Experimental results on two databases demonstrate the effectiveness of our approach. Crown Copyright (C) 2014 Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:69 / 76
页数:8
相关论文
共 40 条
[1]  
[Anonymous], INT C COMP VIS
[2]  
[Anonymous], IEEE INT C AUT FAC G
[3]  
[Anonymous], INT C MACH LEARN
[4]   Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection [J].
Belhumeur, PN ;
Hespanha, JP ;
Kriegman, DJ .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1997, 19 (07) :711-720
[5]  
Belkin M, 2006, J MACH LEARN RES, V7, P2399
[6]   Semi-supervised discriminative common vector method for computer vision applications [J].
Cevikalp, Hakan .
NEUROCOMPUTING, 2014, 129 :289-297
[7]   A unified semi-supervised dimensionality reduction framework for manifold learning [J].
Chatpatanasiri, Ratthachat ;
Kijsirikul, Boonserm .
NEUROCOMPUTING, 2010, 73 (10-12) :1631-1640
[8]   Two-Dimensional Maximum Local Variation Based on Image Euclidean Distance for Face Recognition [J].
Gao, Quanxue ;
Gao, Feifei ;
Zhang, Hailin ;
Hao, Xiu-Juan ;
Wang, Xiaogang .
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2013, 22 (10) :3807-3817
[9]   Joint Global and Local Structure Discriminant Analysis [J].
Gao, Quanxue ;
Liu, Jingjing ;
Zhang, Hailin ;
Gao, Xinbo ;
Li, Kui .
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2013, 8 (04) :626-635
[10]   Joint geometry and variability for image recognition [J].
Gao, Quanxue ;
Zhang, Haijun ;
Yang, Xiaojing ;
Liu, Jingjing ;
Liu, Yamin .
NEUROCOMPUTING, 2013, 99 :241-249