计算机工程与应用Issue(8)：173-177,246,6.DOI:10.3778/j.issn.1002-8331.1205-0210
基于自适应权重的多重稀疏表示分类算法
Adaptive weighted multiple sparse representation classification approach
摘要
Abstract
An adaptive weighted multiple sparse representation classification method is proposed in this paper. To address the weak discriminative power of the conventional SRC(Sparse Representation Classifier)method which uses a single feature representation, it proposes using multiple features to represent each sample and construct multiple feature sub-dictionaries for classification. To reflect the different importance and discriminative power of each feature, it presents an adaptive weighted method to linearly combine different feature representations for classification. Experimental results demonstrate the effectiveness of the proposed method and better classification accuracy can be obtained than the conven-tional SRC method.关键词
自适应权重/多重稀疏表示/稀疏表示分类器(SRC)Key words
adaptive weight/multiple sparse representation/Sparse Representation Classifier(SRC)分类
信息技术与安全科学引用本文复制引用
段刚龙,魏龙,李妮..基于自适应权重的多重稀疏表示分类算法[J].计算机工程与应用,2014,(8):173-177,246,6.基金项目
陕西省科技厅工业攻关项目（No.2011K06-13）；陕西省教育厅自然科学研究项目（No.11JK0985）。 （）
