no code implementations • 13 Feb 2023 • Georgia Smith, Yishi Wang
Our primary goal is to analyze Atrial Fibrillation data within ECGs to develop a model based only on RR-Intervals, or the length between heart-beats, to create a real time classification model for Atrial Fibrillation to be implemented in common heart-rate monitors on the market today.
no code implementations • 4 Oct 2019 • Katherine C. Kempfert, Yishi Wang, Cuixian Chen, Samuel W. K. Wong
Because of high dimensionality, correlation among covariates, and noise contained in data, dimension reduction (DR) techniques are often employed to the application of machine learning algorithms.
no code implementations • 16 Nov 2018 • Benjamin Yip, Rachel Towner, Troy Kling, Cuixian Chen, Yishi Wang
This paper outlines the steps taken toward pre-processing the 55, 134 images of the MORPH-II non-commercial dataset.
no code implementations • 15 Nov 2018 • Benjamin Yip, Garrett Bingham, Katherine Kempfert, Jonathan Fabish, Troy Kling, Cuixian Chen, Yishi Wang
We perform preliminary studies on a large longitudinal face database MORPH-II, which is a benchmark dataset in the field of computer vision and pattern recognition.
no code implementations • 8 Nov 2018 • Caroline Werther, Morgan Ferguson, Kevin Park, Troy Kling, Cuixian Chen, Yishi Wang
Aging or gender variation can affect the face recognition performance dramatically.