EVE-Reference-Cited by-同舟云学术

EVE

Published:2022-10-30 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design
language:
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Author:

Islam Sahidul¹,Zhou Shanglin²,Ran Ran³,Jin Yu-Fang¹,Wen Wujie³,Ding Caiwen²,Xie Mimi¹

Affiliation:

1. The University of Texas at San Antonio

2. University of Connecticut

3. Lehigh University

Funder

USDA-NIFA Agriculture and Food Research Initiative

NSF (National Science Foundation)

USDOT Transportation Consortium of the South-Central States (TRAN-SET)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3508352.3549451

Reference31 articles.

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2. Davide Anguita , Alessandro Ghio , Luca Oneto , Xavier Parra Perez , and Jorge Luis Reyes Ortiz . 2013 . A public domain dataset for human activity recognition using smartphones . In Proceedings of the 21th international European symposium on artificial neural networks, computational intelligence and machine learning. 437--442 . Davide Anguita, Alessandro Ghio, Luca Oneto, Xavier Parra Perez, and Jorge Luis Reyes Ortiz. 2013. A public domain dataset for human activity recognition using smartphones. In Proceedings of the 21th international European symposium on artificial neural networks, computational intelligence and machine learning. 437--442.

3. Jishnu Banerjee , Sahidul Islam , Wei Wei , Chen Pan , Dakai Zhu , and Mimi Xie . 2021 . Memory-aware Efficient Deep Learning Mechanism for IoT Devices. In 2021 IEEE 32nd International Conference on Application-specific Systems, Architectures and Processors (ASAP). IEEE, 187--194 . Jishnu Banerjee, Sahidul Islam, Wei Wei, Chen Pan, Dakai Zhu, and Mimi Xie. 2021. Memory-aware Efficient Deep Learning Mechanism for IoT Devices. In 2021 IEEE 32nd International Conference on Application-specific Systems, Architectures and Processors (ASAP). IEEE, 187--194.

4. An Optimized Design Technique of Low-bit Neural Network Training for Personalization on IoT Devices

5. ImageNet: A large-scale hierarchical image database

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