DEEP LEARNING FOR FOR LARGE-SCALE FACIAL EXPRESSION RECOGNITION IN THE WILD

Master's

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Main Author: NEO YUAN RONG DEXTER
Other Authors: COMPUTATIONAL SCIENCE
Format: Theses and Dissertations
Language:English
Published: 2021
Subjects:
Online Access:https://scholarbank.nus.edu.sg/handle/10635/198469
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Institution: National University of Singapore
Language: English
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spelling sg-nus-scholar.10635-1984692024-10-25T18:51:43Z DEEP LEARNING FOR FOR LARGE-SCALE FACIAL EXPRESSION RECOGNITION IN THE WILD NEO YUAN RONG DEXTER COMPUTATIONAL SCIENCE Chen Tsuhan Winkler, Stefan Emotions, Deep Learning, Facial Expression Recognition Master's MASTER OF SCIENCE (RSH-SOC) 2021-08-20T18:00:20Z 2021-08-20T18:00:20Z 2021-07-28 Thesis NEO YUAN RONG DEXTER (2021-07-28). DEEP LEARNING FOR FOR LARGE-SCALE FACIAL EXPRESSION RECOGNITION IN THE WILD. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/198469 en
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
language English
topic Emotions, Deep Learning, Facial Expression Recognition
spellingShingle Emotions, Deep Learning, Facial Expression Recognition
NEO YUAN RONG DEXTER
DEEP LEARNING FOR FOR LARGE-SCALE FACIAL EXPRESSION RECOGNITION IN THE WILD
description Master's
author2 COMPUTATIONAL SCIENCE
author_facet COMPUTATIONAL SCIENCE
NEO YUAN RONG DEXTER
format Theses and Dissertations
author NEO YUAN RONG DEXTER
author_sort NEO YUAN RONG DEXTER
title DEEP LEARNING FOR FOR LARGE-SCALE FACIAL EXPRESSION RECOGNITION IN THE WILD
title_short DEEP LEARNING FOR FOR LARGE-SCALE FACIAL EXPRESSION RECOGNITION IN THE WILD
title_full DEEP LEARNING FOR FOR LARGE-SCALE FACIAL EXPRESSION RECOGNITION IN THE WILD
title_fullStr DEEP LEARNING FOR FOR LARGE-SCALE FACIAL EXPRESSION RECOGNITION IN THE WILD
title_full_unstemmed DEEP LEARNING FOR FOR LARGE-SCALE FACIAL EXPRESSION RECOGNITION IN THE WILD
title_sort deep learning for for large-scale facial expression recognition in the wild
publishDate 2021
url https://scholarbank.nus.edu.sg/handle/10635/198469
_version_ 1821182055957921792