Fast Deep Neural Architecture Search for Wearable Activity Recognition by Early Prediction of Converged Performance-Reference-Cited by-同舟云学术

Fast Deep Neural Architecture Search for Wearable Activity Recognition by Early Prediction of Converged Performance

Published:2021-09-21 Issue: Volume: Page:
ISSN:
Container-title:2021 International Symposium on Wearable Computers
language:
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Author:

Pellatt Lloyd¹,Roggen Daniel¹

Affiliation:

1. University of Sussex, United Kingdom

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3460421.3478813

Reference58 articles.

1. Alireza Abedin Mahsa Ehsanpour Qinfeng Shi Hamid Rezatofighi and Damith Chinthana Ranasinghe. 2020. Attend And Discriminate: Beyond the State-of-the-Art for Human Activity Recognition using Wearable Sensors. CoRR abs/2007.07172(2020). arxiv:2007.07172https://arxiv.org/abs/2007.07172 Alireza Abedin Mahsa Ehsanpour Qinfeng Shi Hamid Rezatofighi and Damith Chinthana Ranasinghe. 2020. Attend And Discriminate: Beyond the State-of-the-Art for Human Activity Recognition using Wearable Sensors. CoRR abs/2007.07172(2020). arxiv:2007.07172https://arxiv.org/abs/2007.07172

2. Davide Anguita Alessandro Ghio Luca Oneto Xavier Parra and Jorge Luis Reyes-Ortiz. 2013. A public domain dataset for human activity recognition using smartphones.. In ESANN Vol. 3. 3. Davide Anguita Alessandro Ghio Luca Oneto Xavier Parra and Jorge Luis Reyes-Ortiz. 2013. A public domain dataset for human activity recognition using smartphones.. In ESANN Vol. 3. 3.

3. Wearable Assistant for Parkinson’s Disease Patients With the Freezing of Gait Symptom

4. Bowen Baker Otkrist Gupta Ramesh Raskar and Nikhil Naik. 2017. Accelerating Neural Architecture Search using Performance Prediction. arxiv:1705.10823 [cs.LG] Bowen Baker Otkrist Gupta Ramesh Raskar and Nikhil Naik. 2017. Accelerating Neural Architecture Search using Performance Prediction. arxiv:1705.10823 [cs.LG]

5. Dealing with the Effects of Sensor Displacement in Wearable Activity Recognition

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