Now 6250 visitors
Today:0 Yesterday:0
Total: 152515 286S 69P 26R
2026-11-12, Week 46
Member Login
TACT Journal Homepage
Author Homepage
Call for Paper
Paper Procedure
Paper Submission/Update
Invoice/Registration
CRF Submission/Update
Find My Paper
Statistics & History
Welcome Message
Committee
FAQ
Paper Archives
Outstanding Papers
Program & Proceedings
Presentation Platform
Hotel & Travel Info
Photo Gallery
Scheduler Login
Seminar
Archives Login
Sponsors




















IEEE/ICACT20210175 Question.6
Questioner: kobiljonikromjanov@gmail.com    2021-02-09 ¿ÀÈÄ 5:19:31
IEEE/ICACT20210175 Answer.6
Answer by Auhor quandh@vnu.edu.vn   2021-02-09 ¿ÀÈÄ 5:19:31
Thank you very much for submitting your research article and welcome to IEEE/ ICACT2021. Can you please explain your contribution in this article? It is my pleasure to explain our contribution in the work: (1) We comprehensively highlight the differences and similarities of the three FER approaches: Traditional machine learning – based approaches; Deep learning – based approaches; Hybrid and Ensemble learning. It is worth noting that several surveys on automatic expression analysis have been published in recent years, but those study focus only either on traditional machine learning-based methods, or recently deep learning-based methods. (2) Detail competitive performances and experimental comparisons of researches from 2014 to 2020 on widely used datasets. (3) We discuss our current FER application scenarios in Vietnam.

Select Voice