Effective weight function in graphs-based discriminant neighborhood embedding-Reference-Cited by-同舟云学术

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Effective weight function in graphs-based discriminant neighborhood embedding

Published:2022-09-20 Issue:1 Volume:14 Page:347-360
ISSN:1868-8071
Container-title:International Journal of Machine Learning and Cybernetics
language:en
Short-container-title:Int. J. Mach. Learn. & Cyber.

Author:

Zhao Guodong,Zhou Zhiyong,Sun Li,Zhang Junming

Funder

Open fund project of national rare earth permanent magnet motor engineering technology research center

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

https://link.springer.com/content/pdf/10.1007/s13042-022-01643-2.pdf

Reference45 articles.

1. Shen XJ, Liu SX, Bao BK (2020) A generalized least-squares approach regularized with graph embedding for dimensionality reduction. Pattern Recognit 98:107023

2. He XF, Yan SC, Hu YX, Niyogi P, Zhang HJ (2005) Face recognition using Laplacianfaces. Pattern Anal Mach Intell 27:328–340

3. Turk M, Pentland A (1991) Eigenfaces for recognition. J Neurosci 3(1):71–86

4. P.N. Belhumeur, J.P. Hespanha, D. Kriegman, Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection. IEEE Trans. Pattern Anal. Mach.Intell. 19 (7) (1997) 711–720.

5. Belkin M, Niyogi P (2003) Laplacian eigenmaps for dimensionality reduction and data representation. Neural Comput 15:1373–1396

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