计算机技术与发展2017，Vol.27Issue(12)：61-66,6.DOI:10.3969/j.issn.1673-629X.2017.12.014
基于ELM-AE的二进制非线性哈希算法
A Binary Nonlinear Hashing Algorithm with ELM Auto-encoders
摘要
Abstract
The field of Internet applications is so expandable because of the development of mobile Internet,social network and e-com-merce in the data information age of 21 century that the various types of data are in explosive growth,which make the traditional data a-nalysis ineffective. In order to effectively solve the problem of retrieval of image with large scale and meet the application requirements of large scale image database,a binary nonlinear hashing algorithm based on Extreme Learning Machine Auto-Encoders ( ELM-AE) is pro-posed. It optimizes the data sample by ELM-AE and raises the efficiency of image retrieval. Through binary hashing to implement the mapping from high-dimensional image data to low-dimensional binary space,the retrieval accuracy and efficiency are improved. In addi-tion,nonlinear retrieval problem is solved by nonlinear activation function. The experimental results show that the proposed algorithm a-chieves good retrieval efficiency and accuracy with good performance in operation time and other aspects.关键词
哈希学习/自编码/极限学习机/图像检索/机器学习Key words
hashing learning/auto-encoders/extreme learning machine/image retrieval/machine learning分类
信息技术与安全科学引用本文复制引用
邓万宇,张倩,屈玉涛..基于ELM-AE的二进制非线性哈希算法[J].计算机技术与发展,2017,27(12):61-66,6.基金项目
国家自然科学基金资助项目(61572399) （61572399）
陕西省青年科技新星资助项目(2013KJXX-29) （2013KJXX-29）
