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Deep Latent Variable Modeling of Physiological Signals

DATE/TIME: Friday, May 24th, 9:30 am
SPEAKER: PhD Candidate Khuong An Vo
A deep latent variable model is a powerful tool for modeling complex distributions. These models assume that underlying structures, but unobserved, are present within the data. In this dissertation, we explore high-dimensional problems related to physiological monitoring using latent variable models.

Object-Oriented Visual Localization in Urban Mobile-Edge Environments

Name: Bo Tsai Chair: Prof. Kwei-Jay Lin Date: June 6, 2024 Time:  8:30 AM Location: Virtual/Zoom Committee: Prof. Rainer Doemer, Prof. Yasser Shoukry Title: Object-Oriented Visual Localization in Urban Mobile-Edge Environments Abstract: The advent of the Internet of Things (IoT) and the progress in robotic technology have brought a new era where intelligent services significantly […]