SOM-based binary coding for single sample face recognition-Reference-Cited by-同舟云学术

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SOM-based binary coding for single sample face recognition

Published:2021-04-15 Issue: Volume: Page:
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Liu Fan^ORCID,Wang Fei,Ding Yuhua,Yang Sai

Funder

Natural Science Foundation of Jiangsu Province

Fundamental Research Funds for the Central Universities

Key Laboratory of Coastal Disaster and Protection of Ministry of Euducation, Hohai University

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s12652-021-03255-0.pdf

Reference40 articles.

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

2. Bodini M, D’ Amelio A, Grossi G, Lanzarotti R, Lin J (2018) Single sample face recognition by sparse recovery of deep-learned lda features. In: International conference on advanced concepts for intelligent vision systems, Springer, pp 297–308

3. Chan TH, Jia K, Gao S, Lu J, Zeng Z, Ma Y (2015) Pcanet: A simple deep learning baseline for image classification? IEEE Trans Image Process 24(12):5017–5032

4. Chen S, Liu J, Zhou ZH (2004) Making flda applicable to face recognition with one sample per person. Pattern Recognit 37(7):1553–1555

5. Deng W, Hu J, Guo J (2012) Extended src: undersampled face recognition via intraclass variant dictionary. IEEE Trans Pattern Anal Mach Intell 34(9):1864–1870

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1. Synthetic Image Generation Using Conditional GAN-Provided Single-Sample Face Image;Applied Sciences;2024-06-10

2. Single sample face recognition using deep learning: a survey;Artificial Intelligence Review;2023-07-15

3. Skeleton-based Tai Chi action segmentation using trajectory primitives and content;Neural Computing and Applications;2022-12-27

4. Face Recognition in Single Sample Per Person Fusing Multi-Scale Features Extraction and Virtual Sample Generation Methods;Frontiers in Applied Mathematics and Statistics;2022-04-08

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