Face feature point detection based on nonlinear high-dimensional space
Author:
Publisher
Springer Science and Business Media LLC
Subject
Strategy and Management,Safety, Risk, Reliability and Quality
Link
https://link.springer.com/content/pdf/10.1007/s13198-021-01406-2.pdf
Reference19 articles.
1. Adjabi I, Ouahabi A, Benzaoui A, Taleb-Ahmed A (2020) Past, present, and future of face recognition: A review. Electronics 9:1188
2. Bhuyan H, Chakraborty Dr, C., Pani, S., & Ravi, V. (2021) Feature and subfeature selection for classification using correlation coefficient and fuzzy model. IEEE Trans Eng Manage. https://doi.org/10.1109/tem.2021.3065699
3. Bucak S, Jin R, Jain A (2014) Multiple kernel learning for visual object recognition: A review. IEEE Trans Pattern Anal Mach Intell 36:1354–1369
4. Cui J, Hong J, Liu Z, Zhou W (2019) Strong convergence rate of splitting schemes for stochastic nonlinear schr"odinger equations. J Differ Equ 266(9):5625–5663
5. Dwivedi R, Dey S, Chakraborty C, Tiwari S (2021) Grape Disease Detection Network Based on Multi-Task Learning and Attention Features. IEEE Sens J 21(16):17573–17580. https://doi.org/10.1109/jsen.2021.3064060
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2. Face Feature Point Detection Based on a Novel Two-Branch Network Model;2023 China Automation Congress (CAC);2023-11-17
3. Construction vibration risk assessment of engineering projects based on nonlinear feature algorithm;Nonlinear Engineering;2022-01-01
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