Robustness of topological persistence in knowledge distillation for wearable sensor data

Robustness of topological persistence in knowledge distillation for wearable sensor data

Abstract Topological data analysis (TDA) has shown great success in various applications involving wearable sensor data. However, there are difficulties in leveraging topological features in machine learning and wearable sensors because of the large time consumption and computational resources requi...

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Bibliographic Details
Main Authors: Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Matthew P. Buman, Hyunglae Lee, Pavan Turaga
Format: Article
Language:English
Published: SpringerOpen 2024-12-01
Series:EPJ Data Science
Subjects:
Knowledge distillation
Topological data analysis
Persistence image
Wearable sensor data
Online Access:https://doi.org/10.1140/epjds/s13688-024-00512-y
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https://doi.org/10.1140/epjds/s13688-024-00512-y

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