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A visual perception-guided data augmentation method for efficient machine learning-based detection of facial micro-expressions Cover

A visual perception-guided data augmentation method for efficient machine learning-based detection of facial micro-expressions

Communications in Applied and Industrial Mathematics
Volume 15 (2024): Issue 2 (October 2024)
By: Vittoria Bruni,  Salvatore Cuomo and  Domenico Vitulano  
Open Access
|Nov 2024

Authors

Vittoria Bruni

Department of Basic and Applied Sciences for Engineering, Sapienza Rome University, Italy

Salvatore Cuomo

Department of Mathematics and Applications ”R. Caccioppoli”, University of Naples Federico II, Italy

Domenico Vitulano

domenico.vitulano@uniroma1.it

Department of Basic and Applied Sciences for Engineering, Sapienza Rome University, Italy
DOI: https://doi.org/10.2478/caim-2024-0016 | Journal eISSN: 2038-0909
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Language: English
Page range: 102 - 123
Submitted on: Jun 25, 2024
Accepted on: Oct 3, 2024
Published on: Nov 21, 2024
Published by: Italian Society for Applied and Industrial Mathemathics
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Perceptual-based data augmentation,
Facial Microexpression spotting,
Perceptual fingerprint,
Structural SIMilarity Index,
Support Vector Machine
Related subjects:
Mathematics,
Numerical and computational mathematics,
Applied mathematics

© 2024 Vittoria Bruni, Salvatore Cuomo, Domenico Vitulano, published by Italian Society for Applied and Industrial Mathemathics
This work is licensed under the Creative Commons Attribution 4.0 License.

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