Moth-flame optimization based deep feature selection for facial expression recognition using thermal images
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-15861-5.pdf
Reference74 articles.
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2. Akrout B (2023) Deep facial emotion recognition model using optimal feature extraction and dual-attention residual U-Net classifier. Expert Systems. https://doi.org/10.1111/exsy.13314
3. Banerjee D, Chatterjee B, Bhowal P, Bhattacharyya T, Malakar S, Sarkar R (2021) A new wrapper feature selection method for language-invariant offline signature verification. Expert Systems with Applications 186:115756. https://doi.org/10.1016/j.eswa.2021.115756
4. Bartlett MS, Littlewort GC, Frank MG, Lainscsek C, Fasel IR, Movellan JR (2006) Automatic Recognition of Facial Actions in Spontaneous Expressions. Journal of Multimedia 1(6). https://doi.org/10.4304/jmm.1.6.22-35
5. Bhattacharyya A, Chatterjee S, Sen S, Sinitca A, Kaplun D, Sarkar R (2021) A deep learning model for classifying human facial expressions from infrared thermal images. Scientic Reports 11(1). https://doi.org/10.1038/s41598-021-99998-z
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