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RGA-CNNs: convolutional neural networks based on reduced geometric algebra

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Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant Nos. 61771299, 61771322, 61375015, 61301027)

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Authors and Affiliations

  1. School of Communication and Information Engineering, Shanghai University, Shanghai, 200444, China

    Rui Wang, Miaomiao Shen & Xiangyang Wang

  2. College of Information Engineering, Shenzhen University, Shenzhen, 518060, China

    Wenming Cao

Authors
  1. Rui Wang
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  2. Miaomiao Shen
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  3. Xiangyang Wang
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  4. Wenming Cao
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Corresponding author

Correspondence to Wenming Cao.

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Appendixes A-C. The supporting information is available online at info.scichina.com and link.springer.com. The supporting materials are published as submitted, without typesetting or editing. The responsibility for scientific accuracy and content remains entirely with the authors.

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Wang, R., Shen, M., Wang, X. et al. RGA-CNNs: convolutional neural networks based on reduced geometric algebra. Sci. China Inf. Sci. 64, 129101 (2021). https://doi.org/10.1007/s11432-018-1513-5

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