The framework of learnable kernel function and its application to dictionary learning of SPD data-Reference-Cited by-同舟云学术

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The framework of learnable kernel function and its application to dictionary learning of SPD data

Published:2021-01-02 Issue:2 Volume:24 Page:723-739
ISSN:1433-7541
Container-title:Pattern Analysis and Applications
language:en
Short-container-title:Pattern Anal Applic

Author:

Feng Weijia,Ma Zhengming^ORCID,Zhuang Rixin,Che Hangjian

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition

Link

https://link.springer.com/content/pdf/10.1007/s10044-020-00941-1.pdf

Reference47 articles.

1. Turk M, Pentland AP (1991) Face recognition using eigenfaces. In: IEEE conference on computer vision and pattern recognition, pp 586–591

2. Belhumeur PN, Hespanha JP, Kriengman DJ (1997) Eigenfaces vs. Fisherfaces: recognition using class specific linear projection. IEEE Trans Pattern Anal Mach Intell 19(7):711–720

3. Wan M, Li M, Yang G et al (2014) Feature extraction using two-dimensional maximum embedding difference. In: Information sciences, pp 55–69

4. Wan M, Yang G, Gai S et al (2017) Two-dimensional discriminant locality preserving projections (2DDLPP) and its application to feature extraction via fuzzy set. In: Multimed tools appl, vol 76, pp 355–371. https://doi.org/10.1007/s11042-015-3057-8

5. Liu Z, Lai Z, Ou W et al (2020) Structured optimal graph based sparse feature extraction for semi-supervised learning. Sig Process 170:107456

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