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Action unit classification for facial expression recognition using active learning and SVM (open access)

Action unit classification for facial expression recognition using active learning and SVM

Article utilizing active learning and support vector machine (SVM) algorithms to classify facial action units (AU) for human facial expression recognition. Experimental results show that the proposed algorithm can effectively suppress correlated noise and achieve higher recognition rates than principal component analysis and a human observer on seven different facial expressions.
Date: April 4, 2021
Creator: Yao, Li; Wan, Yan & Xu, Bugao
Object Type: Article
System: The UNT Digital Library
The Baytown Sun (Baytown, Tex.), Vol. 101, No. 40, Ed. 1 Sunday, April 4, 2021 (open access)

The Baytown Sun (Baytown, Tex.), Vol. 101, No. 40, Ed. 1 Sunday, April 4, 2021

Triweekly newspaper from Baytown, Texas that includes local, state, and national news along with advertising.
Date: April 4, 2021
Creator: Bloom, David
Object Type: Newspaper
System: The Portal to Texas History
The Colony Courier-Leader (The Colony, Tex.), Vol. 41, No. 9, Ed. 1 Sunday, April 4, 2021 (open access)

The Colony Courier-Leader (The Colony, Tex.), Vol. 41, No. 9, Ed. 1 Sunday, April 4, 2021

Weekly newspaper from The Colony, Texas that includes local, state, and national news along with advertising.
Date: April 4, 2021
Creator: Roark, Chris
Object Type: Newspaper
System: The Portal to Texas History

Interview about health practices

This is an interview about traditional health practices in the Lai community. The interviewee, born in 1962, is originally from Falam and speaks Hakha, Falam, Mizo, Kawl, and English. Interviews were collected as part of the Linguistically Underserved Communities and Health (LUCAH) project, which aims to make health information more accessible and culturally relevant for the Chin refugee community in order to ensure that they are getting clear and accurate information.
Date: April 4, 2021
Creator: unknown
Object Type: Sound
System: The UNT Digital Library