|
|||||
|
|
| 一种自适应邻域选择半监督判别分析算法 | |
| 引用本文： | 刘云东,李鸿,白万荣,刘罡. 一种自适应邻域选择半监督判别分析算法[J]. 计算机工程与应用, 2011, 35(35): 180-183 |
| 作者姓名： | 刘云东 李鸿 白万荣 刘罡 |
| 作者单位： | 1. 宿州学院信息工程学院,安徽宿州,234000 2. 兰州理工大学计算机与通信学院,兰州,730050 3. 冲国人民解放军68611部队装备处 |
| 基金项目： | 国家自然科学基金(No.20871089); 安徽省高校优秀青年人才基金项目(No.2009SQRZ171); 安徽省教育厅自然科学研究项目(No.KJ2009B121); 安徽省高校优秀青年人才基金项目(No.2010SQRL192)~~ |
| 摘 要： | 为克服边界Fisher判别分析(MFA)只利用少量有标记样本和构建邻域不能充分反映流形学习对邻域要求的缺点,提出一种基于局部线性结构的自适应邻域选择半监督判别分析的算法。采用自适应算法扩大或者缩小近邻系数k来构建邻域以保持局部线性结构。MFA通过少量有类别标签样本进行降维的同时UDP对大量无标签样本进行学习,以半监督的方法对高维人脸数据进行维数约减。最后,在ORL和YALE人脸数据库通过实验结果验证了该算法的有效性。 |
| 关 键 词： | 边界Fisher判别分析 无监督鉴别投影 半监督 局部线性结构 邻域选择 |
| 修稿时间： | |
Semi-supervised discriminant analysis algorithm based on adaptive neighborhood selection |
|
| LIU Yundong , LI Hong , BAI Wanrong , LIU Gang. Semi-supervised discriminant analysis algorithm based on adaptive neighborhood selection[J]. Computer Engineering and Applications, 2011, 35(35): 180-183 | |
| Authors: | LIU Yundong LI Hong BAI Wanrong LIU Gang |
| Affiliation: | LIU Yundong1,LI Hong1,BAI Wanrong2,LIU Gang3 1.School of Information Engineering,Suzhou University,Suzhou,Anhui 234000,China 2.College of Computer and Communication,Lanzhou University of Technology,Lanzhou 730050,China 3.Department of Equipment,No.68611 Troops,The Chinese People's Liberation Army |
| Abstract: | A new semi-supervised discriminant analysis algorithm adaptive neighborhood selection algorithm based on local linearity is proposed for the disadvantage of Marginal Fisher Analysis(MFA),which can only make use of a few labeled samples and construct a reasonable neighborhood for each point.An adaptive algorithm to expand or narrow neighbor coefficient k is adopted to keep the local linear structure.The MFA can make use of small amount of labeled samples and the UDP can study a large numbers of unlabeled sam... |
| Keywords: | Marginal Fisher Analysis(MFA) Unsupervised Discriminant Projection(UDP) semi-supervised local linear structure neighborhood selection |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |
| 点击此处可从《计算机工程与应用》浏览原始摘要信息 | |
| 点击此处可从《计算机工程与应用》下载免费的PDF全文 | |