A tucker decomposition based knowledge distillation for intelligent edge applications-Reference-Cited by-同舟云学术

A tucker decomposition based knowledge distillation for intelligent edge applications

Published:2021-03 Issue: Volume:101 Page:107051
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Dai Cheng^ORCID,Liu Xingang,Li Zhuolin,Chen Mu-Yen

Funder

National Natural Science Foundation of China

Department of Science and Technology of Sichuan Province

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Software

Reference25 articles.

1. Human behavior deep recognition architecture for smart city applications in the 5G environment;Dai;IEEE Netw.,2019

2. Offloading assisted energy-balanced IoT edge node relocation for confident information coverage;Wang;IEEE Internet Things J.,2019

3. Video scene segmentation using tensor-train faster-RCNN for multimedia IoT systems;Dai;IEEE Internet Things J.,2020

4. A low-latency object detection algorithm for the edge devices of IoV systems;Dai;IEEE Trans. Veh. Technol.,2020

5. Model compression for IoT applications in industry 4.0 via multi-scale knowledge transfer;Fu;IEEE Trans. Ind. Inf.,2020

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