现代电子技术2015，Vol.38Issue(18)：8-12,5.
稀疏表示保持的鉴别特征选择算法
An algorithm for selection of distinguishable features preserved by sparse representation
摘要
Abstract
A new algorithm for selection of distinguishable features preserved by sparse representation,whose aim is to se-lect a subset of distinguishable features to minimize the difference value of reconstruction residual in sparse class and reconstruc-tion residuals between sparse classes of samples in the subspace of selected features. The algorithm,which is different from the selection feature independence mode of the traditional algorithms,selects the most distinguishable features in batch mode and, is used to optimize the minimized objective function of l2,1-norm. The experimental results on standard UCI datasets and Colum-bia object image data base show that the algorithm is superior to other classic feature selection algorithms in the aspects of recog-nition performance and stability.关键词
特征选择/稀疏表示/重构残差/l2,1范数Key words
feature selection/sparse representation/reconstruction residual/l2/1-norm分类
信息技术与安全科学引用本文复制引用
夏广胜,严慧..稀疏表示保持的鉴别特征选择算法[J].现代电子技术,2015,38(18):8-12,5.基金项目
国家自然科学基金(61202134) （61202134）
国家杰出青年科学基金(61125305) （61125305）
中国博士后科学基金(AD41431) （AD41431）
江苏省博士后科学基金 （）
