HODEC: Towards Efficient High-Order DEcomposed Convolutional Neural Networks

Miao Yin ¹

Sui Yang ¹

Wanzhao Yang ¹

Xiao Zang ¹

Yu Gong ¹

Bo Yuan ¹

Rutgers University,Department of Electrical and Computer Engineering |

Publication type: Proceedings Article

Publication date: 2022-06-01

Institute of Electrical and Electronics Engineers (IEEE)

DOI: 10.1109/CVPR52688.2022.01198

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Mathematics	Mathematics, 2, 18.18% Mathematics 2 publications, 18.18%
IEEE Transactions on Geoscience and Remote Sensing	IEEE Transactions on Geoscience and Remote Sensing, 1, 9.09% IEEE Transactions on Geoscience and Remote Sensing 1 publication, 9.09%
Neural Computing and Applications	Neural Computing and Applications, 1, 9.09% Neural Computing and Applications 1 publication, 9.09%
Journal of Systems Engineering and Electronics	Journal of Systems Engineering and Electronics, 1, 9.09% Journal of Systems Engineering and Electronics 1 publication, 9.09%
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Institute of Electrical and Electronics Engineers (IEEE)	Institute of Electrical and Electronics Engineers (IEEE), 6, 54.55% Institute of Electrical and Electronics Engineers (IEEE) 6 publications, 54.55%
MDPI	MDPI, 2, 18.18% MDPI 2 publications, 18.18%
Association for Computing Machinery (ACM)	Association for Computing Machinery (ACM), 2, 18.18% Association for Computing Machinery (ACM) 2 publications, 18.18%
Springer Nature	Springer Nature, 1, 9.09% Springer Nature 1 publication, 9.09%
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Institute of Electrical and Electronics Engineers (IEEE)