基于张量局部保持投影算法的图像检索

doi:10.3969/j.issn.1006-2475.2017.01.014

计算机与现代化

基于张量局部保持投影算法的图像检索

(河海大学计算机与信息学院，江苏南京 211100)

收稿日期:2016-06-14 出版日期:2017-01-12 发布日期:2017-01-11
作者简介:韩丹丹(1992-)，女，江苏东台人，河海大学计算机与信息学院硕士研究生，研究方向：图像检索，图像处理; 韩立新(1967-)，男，江苏南京人，研究员，博士生导师，博士，研究方向：信息检索，模式识别，数据挖掘。

Image Retrieval Based on Tensor Locality Preserving Projection

(College of Computer and Information, Hohai University, Nanjing 211100, China)

Received:2016-06-14 Online:2017-01-12 Published:2017-01-11

摘要/Abstract

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。

关键词: 局部保持投影, 张量表示, 图像检索

Abstract: 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.

Key words: locality preserving projection, tensor representation, image retrieval

中图分类号:

TP391.4

韩丹丹，韩立新. 基于张量局部保持投影算法的图像检索[J]. 计算机与现代化, doi: 10.3969/j.issn.1006-2475.2017.01.014.

HAN Dan-dan, HAN Li-xin. Image Retrieval Based on Tensor Locality Preserving Projection[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2017.01.014.

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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

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