智能系统学报Issue(3)：285-291,7.DOI:10.3969/j.issn.1673-4785.201309065
一种基于非残差估计线性表示模型的人脸识别
Face recognitio n based on the linear representation model without residual estimation
摘要
Abstract
The Dantzig selector constrains the representation model with L ∞norm of the related vector between the samples and residuals , so as a result it is more convenient and more adaptive .Traditional linear representation dealing with residuals depends on specific residual likelihood estimation of residual .In order to overcome this de-fect, A new face recognition algorithm based on the Dantzig selector is proposed , applying the concept of dealing with the residual and a high-efficiency solution to the Dantzig selector is also studied .Experiments conducted with commonly used face databases show that the Dantzig selector achieves good results with face recognition without re -sidual estimation .关键词
线性表示/残差/似然估计/Dantzig selector模型/人脸识别Key words
linear representation/residual estimation/likelihood estimation/Dantzig selector model/face recogni-tion分类
信息技术与安全科学引用本文复制引用
刘训利,龚勋,王国胤..一种基于非残差估计线性表示模型的人脸识别[J].智能系统学报,2014,(3):285-291,7.基金项目
国家自然科学基金资助项目（61202191）；中高校基本科研业务费专项资金资助项目（ SWJTU12CX095）． （）
