Capsule Recurrent Neural Network with Weight Update Using Dynamic Routing by Agreement: A Unified Model for Action Recognition in Videos

Keyang Cheng, Lubamba Kasangu Eric, Rabia Tahir, Maozhen Li. Capsule Recurrent Neural Network with Weight Update Using Dynamic Routing by Agreement: A Unified Model for Action Recognition in Videos. In Yong Liu 0012, Lipo Wang, Liang Zhao 0001, Zhengtao Yu 0001, editors, Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019 - Volume 1. Volume 1074 of Advances in Intelligent Systems and Computing, pages 307-316, Springer, 2019. [doi]

@inproceedings{ChengETL19,
  title = {Capsule Recurrent Neural Network with Weight Update Using Dynamic Routing by Agreement: A Unified Model for Action Recognition in Videos},
  author = {Keyang Cheng and Lubamba Kasangu Eric and Rabia Tahir and Maozhen Li},
  year = {2019},
  doi = {10.1007/978-3-030-32456-8_33},
  url = {https://doi.org/10.1007/978-3-030-32456-8_33},
  researchr = {https://researchr.org/publication/ChengETL19},
  cites = {0},
  citedby = {0},
  pages = {307-316},
  booktitle = {Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019 - Volume 1},
  editor = {Yong Liu 0012 and Lipo Wang and Liang Zhao 0001 and Zhengtao Yu 0001},
  volume = {1074},
  series = {Advances in Intelligent Systems and Computing},
  publisher = {Springer},
  isbn = {978-3-030-32456-8},
}