Non-negative Matrix Factorization with Symmetric Manifold Regularization-Reference-Cited by-同舟云学术

Non-negative Matrix Factorization with Symmetric Manifold Regularization

Published:2019-08-30 Issue:1 Volume:51 Page:723-748
ISSN:1370-4621
Container-title:Neural Processing Letters
language:en
Short-container-title:Neural Process Lett

Author:

Yang Shangming,Liu Yongguo,Li Qiaoqin,Yang Wen,Zhang Yi,Wen Chuanbiao

Funder

Natural Science Foundation of China

National Science and Technology Major Project of the Ministry of Science and Technology of China

National Key Research and Development Program of China

Sichuan Science and Technology Program

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Link

http://link.springer.com/content/pdf/10.1007/s11063-019-10111-y.pdf

Reference45 articles.

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2. Lee DD, Seung HS (1999) Learning of the parts of objects by non-negative matrix factorization. Nature 401:788–791

3. Amari S (1995) Information geometry of the EM and em algorithms for neural networks. Neural Netw 8:1379–1408

4. Guillameta D, Vitria J, Schieleb B (2003) Introducing a weighted non-negative matrix factorization for image classification. Pattern Recognit Lett 24:2447–2454

5. Berry M, Gillis N, Glineur F (2009) Document classification using nonnegative matrix factorization and under approximation. In: IEEE international symposium on circuits and systems. Knoxville, TN, USA, pp 2782–2785

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