计算机应用研究2016，Vol.33Issue(3)：673-676,4.DOI:10.3969/j.issn.1001-3695.2016.03.008
基于核融合的多信息流形学习算法
Multi-information manifold learning algorithm based on kernel fusion
摘要
Abstract
Manifold learning algorithms can be divided into global manifold learning and local manifold learning,and they keep global features and local features of manifolds respectively.However,experiments show that manifold learning algorithm based only on global or local feature information can not maintain the real structure of manifold well which affects the results of manifold learning.Therefore,in the view of kernel,this paper proposed a multi-information manifold learning algorithm based on the kernel fusion of the ISOMAP and LTSA.The proposed algorithm can maintain the global and local features of manifolds synchronously,and the experimental results on several synthetic data and standard face databases indicate the effectiveness of the algorithm.关键词
核融合/流形学习/多信息Key words
kernel fusion/manifold learning/multi-information分类
信息技术与安全科学引用本文复制引用
刘元,吴小俊..基于核融合的多信息流形学习算法[J].计算机应用研究,2016,33(3):673-676,4.基金项目
国家自然科学基金资助项目（61373055）；高等学校博士学科点专项科研基金资助项目 （）
