计算机科学与探索2016，Vol.10Issue(11)：1578-1587,10.DOI:10.3778/j.issn.1673-9418.1604045
多流形的非监督线性差分投影算法
Multi-Manifold Unsupervised Linear Differential Projection Algorithm
摘要
Abstract
To overcome the drawbacks of existing unsupervised linear differential projection (ULDP), this paper pro-poses a novel algorithm called multi-manifold unsupervised linear differential projection (MULDP) for face recogni-tion. Firstly, multi-manifold local neighborhood graph and the largest global variance are constructed. Nextly, a low-dimensional manifold embedded in high-dimensional space is calculated through the multi-objective optimization. This mapping can represent not only the global structure but also the local structure. MULDP can get the low-dimensional manifolds embedded in a high-dimensional space and maintain the local and global structural information effectively. The experimental results on the ORL, Yale and AR face databases demonstrate the superiority of the proposed algorithm.关键词
人脸识别/特征提取/多流形/非监督线性差分投影(ULDP)Key words
face recognition/feature extraction/multi-manifold/unsupervised linear differential projection (ULDP)分类
信息技术与安全科学引用本文复制引用
杨章静,万鸣华,王巧丽,张凡龙,杨国为..多流形的非监督线性差分投影算法[J].计算机科学与探索,2016,10(11):1578-1587,10.基金项目
The Natural Science Foundation of Jiangsu Higher Education Institutions under Grant Nos.15KJB520018,12KJA63001(江苏省属高校自然科学基金) （江苏省属高校自然科学基金）
the National Natural Science Foundation of China under Grant Nos.61503195,61462064,61203243,61272077(国家自然科学基金) （国家自然科学基金）
the Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education (Nanjing University of Science and Technology) under Grant No.30920140122006(高维信息智能感知与系统教育部重点实验室(南京理工大学)基金) （Nanjing University of Science and Technology）
