计算机应用与软件2013，Vol.30Issue(6)：266-268,294,4.DOI:10.3969/j.issn.1000-386x.2013.06.070
稀疏近邻保持投影
SPARSE NEIGHBOURHOOD PRESERVING PROJECTION
罗庆云 1陈敏 1赵巾帼1
作者信息
- 1. 湖南工学院计算机系 湖南衡阳421002
- 折叠
摘要
Abstract
In the term of global feature preserving and local feature preserving,a dimensionality reduction algorithm called sparse neighbourhood preserving projection (SNPE) is proposed.The algorithm fuses the sparse reconstruction information and local neighbourhood reconstruction information.The projected low-dimensional data preserve the global geometric structure information and local neighbourhood approximated nonlinear structure information of the high-dimensional data.Experiments operated on Yale,AR and UMIST face dataset show that the proposed algorithm is effective.关键词
降维/稀疏保持投影/近邻保持嵌入/加权融合/平衡参数Key words
Dimensionality reduction / Sparse preserving projection / Neighbourhood preserving embedding / Weighted fusion / Tradeoff parameter分类
信息技术与安全科学引用本文复制引用
罗庆云,陈敏,赵巾帼..稀疏近邻保持投影[J].计算机应用与软件,2013,30(6):266-268,294,4.
