1. Novel Generative Semisupervised Learning Based on Fine-Grained Component-Conditional Class Labeling Open Access Author: Lin, Chu-Fang Title: Novel Generative Semisupervised Learning Based on Fine-Grained Component-Conditional Class Labeling Graduate Program: Electrical Engineering Keywords: nearest neighbor classificationmixture modelsinductive inferencegenerative modelssemisupervised learningExpectation- Maximization algorithm File: Download CFL-DissertationFinal.pdf Committee Members: David Jonathan Miller, Dissertation Advisor/Co-AdvisorDavid Jonathan Miller, Committee Chair/Co-ChairGeorge Kesidis, Committee MemberWilliam Kenneth Jenkins, Committee MemberChristopher Collins, Committee MemberKenneth K Kuo, Committee Member
2. Improved Facial Expression Recognition Using Noisy Student Training and Synthetic Data Generation Open Access Author: Kumar, Vikas Title: Improved Facial Expression Recognition Using Noisy Student Training and Synthetic Data Generation Graduate Program: Computer Science and Engineering Keywords: Facial expression recognitionstudent-teacher networksemisupervised learningmulti-level attentionFacial expression recognition student-teacher networksemisupervised learning multi-level attentionfacial expression recognitionunsupervised learningstudent teacher networkmachine learningdeep learningGANCNN File: Download Thesis.pdf Committee Members: Chitaranjan Das, Program Head/ChairDaniel Kifer, Thesis Advisor/Co-AdvisorC Lee Giles, Committee Member
