Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 5
1416-1420

Iterative self-organizing hashing algorithm

Han Xuelian
Tian Aikui
Wang Zhen
Lu Haitao
School of Computer Science & Technology, Shandong University of Technology, Zibo Shandong 255000, China
DOI: 10.19734/j.issn.1001-3695.2018.10.0811

Abstract

To fix the randomness of the cluster centers and the limited representation of the discrete binary codes, this paper presented a method termed ISOH. This algorithm employed the iterative self-organizing data analysis to quantify the original space. As a result, the above measurement improved the retrieval accuracy largely. During initializing the clustering centers, this method utilized the farthest average distance to fix the randomness problem. As the fixed binary bits could represent a limi-ted number of the codes, the hash based image ANN retrieval method had poor performance, this paper established the multi-encoding mechanism. In terms of the training time complexity, this method employed the product space mechanism to obtain longer encoding results at a lower cost. This paper conducted the comparative experiments in SIFT, GIST and CIFAR10 datasets. The experimental results show that ISOH is superior K-means hashing and scalable graph hashing etc. in achieving image ANN retrieval.

Foundation Support

山东省自然科学基金资助项目(ZR2018PF005)
国家自然科学基金应急管理项目(61841602)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.10.0811
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 5
Section: Algorithm Research & Explore
Pages: 1416-1420
Serial Number: 1001-3695(2020)05-026-1416-05

Publish History

[2020-05-05] Printed Article

Cite This Article

韩雪莲, 田爱奎, 王振, 等. 迭代自组织哈希算法 [J]. 计算机应用研究, 2020, 37 (5): 1416-1420. (Han Xuelian, Tian Aikui, Wang Zhen, et al. Iterative self-organizing hashing algorithm [J]. Application Research of Computers, 2020, 37 (5): 1416-1420. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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