Self-Supervised Few-Shot Time-series Segmentation for Activity Recognition-Reference-Cited by-同舟云学术

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Self-Supervised Few-Shot Time-series Segmentation for Activity Recognition

Published:2022 Issue: Volume: Page:1-14
ISSN:1536-1233
Container-title:IEEE Transactions on Mobile Computing
language:
Short-container-title:IEEE Trans. on Mobile Comput.

Author:

Xiao Chunjing¹^ORCID,Chen Shiming¹,Zhou Fan²^ORCID,Wu Jie³^ORCID

Affiliation:

1. Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng, China

2. School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China

3. Department of Computer and Information Sciences, Temple University, Philadelphia, PA, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Software

Link

http://xplorestaging.ieee.org/ielx7/7755/4358975/09858001.pdf?arnumber=9858001

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Pedestrian Navigation Activity Recognition Based on Segmentation Transformer;IEEE Internet of Things Journal;2024-08-01

2. TS-DM: A Time Segmentation-Based Data Stream Learning Method for Concept Drift Adaptation;IEEE Transactions on Cybernetics;2024

3. I³: Interactive Iterative Improvement for Few-Shot Action Segmentation;2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN);2023-08-28

4. Imputation-based Time-Series Anomaly Detection with Conditional Weight-Incremental Diffusion Models;Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2023-08-04

5. Mean Teacher-Based Cross-Domain Activity Recognition Using WiFi Signals;IEEE Internet of Things Journal;2023-07-15

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