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
System: The UNT Digital Library
COS: A new MeSH term embedding incorporating corpus, ontology, and semantic predications (open access)

COS: A new MeSH term embedding incorporating corpus, ontology, and semantic predications

Article studying the problem of incorporating corpus, ontology, and semantic predications to learn the embeddings of MeSH terms. The authors propose a novel framework, Corpus, Ontology, and Semantic predications-based MeSH term embedding (COS), to generate high-quality MeSH term embeddings.
Date: May 4, 2021
Creator: Ding, Juncheng & Jin, Wei
System: The UNT Digital Library