In accordance with regulations and requirements, the editorial department's website domain has been changed to arocmag.cn. The original domain (arocmag.com) will be discontinued after Dec. 31st, 2024.
Technology of Graphic & Image
|
636-640

Dual-graph regularized multilayer concept factorization

Zhang Xian
Ye Jun
School of Natural Sciences, Nanjing University of Posts & Telecommunications, Nanjing 210023, China

Abstract

In order to further excavate the hidden information between data, under the framework of multilayer concept factorization algorithm, this paper proposed a novel algorithm called dual-graph regularized multilayer concept factorization algorithm, which encoded the geometric structure information of data and feature spaces by constructing two Laplacian regularize term in each layer factorization, respectively. By this way, the proposed method could learn features in a hierarchical manner, and thus provided a better chance for learning meaningful features from the complex data. Moreover, it developed the iterative updating optimization scheme for DHCF, and also provided the convergence proof of the optimization scheme. Experimental results on TDT2 document datasets, PIE and COIL20 image datasets demonstrate the effectiveness of this proposed method.

Foundation Support

江苏省自然科学基金资助项目(BK20150867)
南京邮电大学国家自然科学基金孵化资助项目(NY215125)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.10.0935
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 2
Section: Technology of Graphic & Image
Pages: 636-640
Serial Number: 1001-3695(2019)02-069-0636-05

Publish History

[2019-02-05] Printed Article

Cite This Article

张显, 叶军. 基于对偶图正则化的多层概念分解算法 [J]. 计算机应用研究, 2019, 36 (2): 636-640. (Zhang Xian, Ye Jun. Dual-graph regularized multilayer concept factorization [J]. Application Research of Computers, 2019, 36 (2): 636-640. )

About the Journal

  • 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.


Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)