Triplet-based Domain Adaptation (Triple-DARE) for Lab-to-field Human Context Recognition-Reference-Cited by-同舟云学术

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Triplet-based Domain Adaptation (Triple-DARE) for Lab-to-field Human Context Recognition

Published:2022-03-21 Issue: Volume: Page:
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Container-title:2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)
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Author:

Alajaji Abdulaziz¹,Gerych Walter¹,Chandrasekaran Kavin¹,Buquicchio Luke¹,Mansoor Hamid¹,Agu Emmanuel¹,Rundensteiner Elke¹

Affiliation:

1. Worcester Polytechnic Institute,United States

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9766442/9767206/09767432.pdf?arnumber=9767432

Reference24 articles.

1. A unifying view on dataset shift in classification,2012

2. An introduction to domain adaptation and transfer learning;kouw,2018

3. Domain alignment with triplets;deng,2018

4. FaceNet: A unified embedding for face recognition and clustering

5. In defense of the triplet loss for person re-identification;hermans,2017

Cited by 2 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. Multitask Deep Learning Methods for Improving Human Context Recognition From Low Sampling Rate Sensor Data;IEEE Sensors Journal;2023-08-15

2. Domain Adaptation Methods for Lab-to-Field Human Context Recognition;Sensors;2023-03-13

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