Non-negative Matrix Factorization and Its Extensions for Spectral Image Data Analysis-Reference-Cited by-同舟云学术

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Non-negative Matrix Factorization and Its Extensions for Spectral Image Data Analysis

Published:2019-09-21 Issue:0 Volume:17 Page:148-154
ISSN:1348-0391
Container-title:e-Journal of Surface Science and Nanotechnology
language:en
Short-container-title:e-J. Surf. Sci. Nanotechnol.

Author:

Shiga Motoki¹²³,Muto Shunsuke⁴

Affiliation:

1. Faculty of Engineering, Gifu University

2. PRESTO, Japan Science and Technology Agency

3. Center for Advanced Intelligence Project, RIKEN

4. Electron Nanoscopy Division, Advanced Measurement Technology Center, Institute of Materials and Systems for Sustainability, Nagoya University

Publisher

Surface Science Society Japan

Subject

Surfaces, Coatings and Films,Surfaces and Interfaces,Mechanics of Materials,Condensed Matter Physics,Bioengineering,Biotechnology

Link

https://www.jstage.jst.go.jp/article/ejssnt/17/0/17_148/_pdf

Reference19 articles.

1. [1] H. F. Grahn and P. Geladi (Eds.), Techniques and Applications of Hyperspectral Image Analysis (John Wiley & Sons, 2007).

2. [2] K. Kiyohara, T. Miyata, K. Tsuda, and T. Mizoguchi, Sci. Rep. 8, 13548 (2018).

3. [3] M. Shiga and S. Muto, in: Nanoinformatics, edited by I. Tanaka (Springer, Singapore, 2018) pp. 179−203.

4. [4] M. Shiga, K. Tatsumi, S. Muto, K. Tsuda, Y. Yamamoto, T. Mori, and T. Tanji, Ultramicroscopy 170, 43 (2016).

5. [5] M. Shiga, S. Muto, K. Tatsumi, and K. Tsuda, Trans. Mater. Res. Soc. Jpn. 41, 333 (2016).

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