计算机技术与发展2015，Vol.25Issue(11)：130-133,4.DOI:10.3969/j.issn.1673-629X.2015.11.026
局部广义张量鉴别分析
Local General Tensor Discriminant Analysis
摘要
Abstract
In the past decade,great efforts have been made to extend linear discriminant analysis for higher-order data classification,gen-erally referred to as Multilinear Discriminant Analysis (MDA) . General Tensor Discriminant Analysis (GTDA) is one of the most repre-sentative algorithms. In this paper,propose a new multilinear discriminant analysis method named Local General Tensor Discriminant A-nalysis (LGTDA) . It utilizes the local neighbor information of tensor sample to redefine the between-class scatter matrix and the within-class scatter matrix,which makes the proposed method can preserve the local structure information of the original space in the projective space. In addition,to make better use of tensor technique,the tensor sample consists of information extracted by several feature extraction techniques. The experimental results on AR and CAS-PEAL databases demonstrate the effectiveness of the proposed method.关键词
张量数据/局部近邻信息/广义张量鉴别分析/局部张量鉴别分析Key words
tensor data/local neighbor information/general tensor discriminant analysis/local general tensor discriminant analysis分类
信息技术与安全科学引用本文复制引用
葛祥龙,荆晓远,董西伟,吴飞,姚永芳..局部广义张量鉴别分析[J].计算机技术与发展,2015,25(11):130-133,4.基金项目
国家自然科学基金资助项目(61272273) （61272273）
江苏省333工程项目(BRA2011175) （BRA2011175）
南京邮电大学校科研项目(XJKY14016) （XJKY14016）
