Yu-Min Chung

Orcid: 0000-0002-4687-063X

Affiliations:
  • University of North Carolina at Greensboro, Department of Mathematics and Statistics, NC, USA


According to our database1, Yu-Min Chung authored at least 16 papers between 2018 and 2022.

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Bibliography

2022
Airflow recovery from thoracic and abdominal movements using synchrosqueezing transform and locally stationary Gaussian process regression.
Comput. Stat. Data Anal., 2022

Gaussian Persistence Curves.
CoRR, 2022

Persistence Curves: A canonical framework for summarizing persistence diagrams.
Adv. Comput. Math., 2022

2021
A Multi-parameter Persistence Framework for Mathematical Morphology.
CoRR, 2021

Topological Estimation of 2D Image Data via Subsampling and Application to Firn.
IEEE Access, 2021

Two-parameter Persistence for Images via Distance Transform.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

A Sheaf and Topology Approach to Detecting Local Merging Relations in Digital Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
On the Conditions of Absorption Property for Morphological Opening and Closing.
CoRR, 2020

A Sheaf and Topology Approach to Generating Local Branch Numbers in Digital Images.
CoRR, 2020

A Persistent Homology Approach to Time Series Classification.
CoRR, 2020

A Hybrid Metric based on Persistent Homology and its Application to Signal Classification.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Smooth Summaries of Persistence Diagrams and Texture Classification.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
A persistent homology approach to heart rate variability analysis with an application to sleep-wake classification.
CoRR, 2019

TopoResNet: A hybrid deep learning architecture and its application to skin lesion classification.
CoRR, 2019

2018
Topological Fidelity and Image Thresholding: A Persistent Homology Approach.
J. Math. Imaging Vis., 2018

Topological approaches to skin disease image analysis.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018


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