数据采集与处理2018，Vol.33Issue(1)：113-121,9.DOI:10.16337/j.1004-9037.2018.01.013
应用于特征提取方法的模糊差分嵌入投影
Fuzzy Difference Embedding Projection for Feature Extraction
摘要
Abstract
Locally linear embedding(LLE)algorithm has no direct relationship with the classification. Meanwhile,the recognition effect is decreased when the LLE algorithm is affected by different facial ex-pressions,illumination and pose,etc.,and the distribution of the original sample is usually nonlinear and complex.Therefore,an efficient dimensional reduction and classification algorithm is presented,that is fuzzy difference embedding projection(FDEP)algorithm.The FDEP algorithm constructs different radi-ograms to characterize the local and the global structure information using fuzzy membership degree (fuzzy sets)under fuzzy thinking,and then uses the maximum margin criterion(MMC)to construct the objective function for avoiding the ″small-size sample″problem.Finally,the algorithm solves the con-strained optimization by Lagrange operators.The FDEP algorithm maintains the original neighbor rela-tions for neighboring data points of the same class and is also crucial to keep away neighboring data points of different classes.The results of face recognition experiments on ORL,Yale and AR face databases demonstrate the effectiveness of the FDEP algorithm.关键词
特征提取/局部线性嵌入/最大间距准则/模糊隶属度/流形Key words
feature extraction/locally linear embedding/maximum margin criterion/fuzzy sets/mani-fold learning分类
信息技术与安全科学引用本文复制引用
万鸣华..应用于特征提取方法的模糊差分嵌入投影[J].数据采集与处理,2018,33(1):113-121,9.基金项目
国家自然科学基金(61462064,6177227)资助项目 （61462064,6177227）
江苏省自然科学基金(BK20161580,BK20171494)资助项目 （BK20161580,BK20171494）
中国博士后基金(2016M600674)资助项目. （2016M600674）
