基于张量局部保持投影算法的图像检索  

Image Retrieval Based on Tensor Locality Preserving Projection

作　　者：韩丹丹[1] 韩立新[1] 

机构地区：[1]河海大学计算机与信息学院,江苏南京211100

出　　处：《计算机与现代化》2017年第1期71-74,共4页Computer and Modernization

摘　　要：针对局部保持投影算法是无监督的学习,无法区别类别信息的缺点,本文通过加入鉴别信息的方式对局部保持投影算法进行改进,并将改进的算法推广到张量空间。通过在标准数据集上的对比实验得出,张量改进的局部保持投影算法的检索效果要比原有算法的效果好。For locality preserving projections algorithm is unsupervised learning which is unable to distinguish the categories of information,this paper presents an improved locality preserving projection algorithm by adding discriminate information,and extends this algorithm to the tensor space. By comparing experimentally on standard data set,the retrieval results of the improved tensor locality preserving projection algorithm are more effective than the original algorithm.

关 键 词：局部保持投影 张量表示 图像检索 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]