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.

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