CODE: Compact IoT Data Collection with Precise Matrix Sampling and Efficient Inference-Reference-Cited by-同舟云学术

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CODE: Compact IoT Data Collection with Precise Matrix Sampling and Efficient Inference

Published:2022-07 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS)
language:
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Author:

Lu Huali¹,Lyu Feng¹,Ren Ju²,Yu Jiadi³,Wu Fan²,Zhang Yaoxue²,Shen Xuemin Sherman⁴

Affiliation:

1. Central South University,School of Computer Science and Engineering,Changsha,China

2. BNRist, Tsinghua University,Department of Computer Science and Technology,Beijing,China

3. Shanghai Jiao Tong University,Department of Computer Science and Engineering,Shanghai,China

4. University of Waterloo,Department of Electrical and Computer Engineering,Waterloo,Ontario,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9912136/9912128/09912296.pdf?arnumber=9912296

Reference43 articles.

1. Active learning and search on low-rank matrices

2. Active learning for online bayesian matrix factorization

3. Generative Adversarial Nets;goodfellow;Proc NIPS'14,2014

4. Rectifier Nonlinearities Improve Neural Network Acoustic Models;maas;Proc ICML WorkshopDeep Learn,2013

5. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks;radford;Proc ICLR'16,2016

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