胶囊网络相关的外文文献
时间: 2023-11-10 10:05:37 浏览: 101
以下是一些关于胶囊网络的外文文献:
1. Sabour, S., Frosst, N., & Hinton, G. E. (2017). Dynamic routing between capsules. In Advances in Neural Information Processing Systems (pp. 3859-3869).
2. Hinton, G. E. (2011). Transforming auto-encoders. In Artificial neural networks and machine learning–ICANN 2011 (pp. 44-51). Springer.
3. Hinton, G. E., & Salakhutdinov, R. R. (2006). Reducing the dimensionality of data with neural networks. Science, 313(5786), 504-507.
4. Zhang, H., & Wang, Y. (2018). Capsule network performance on complex data. Neural Computing and Applications, 30(11), 3313-3323.
5. Zhao, W., Xiao, J., & Zhang, Y. (2019). Capsule network: A concise overview. IEEE Access, 7, 90586-90605.
6. Xinyi Li, Lina Yao, Quan Z. Sheng, Sen Wang, Xue Li, and Wenjie Zhang. (2018). Capsule network with maxout routing. In Proceedings of the 27th ACM International Conference on Information and Knowledge Management (pp. 1171-1180).
7. Liu, J., & Yang, Y. (2019). Capsule network for image classification with limited data. In International Conference on Artificial Neural Networks (pp. 23-33). Springer.
8. Li, X., Yao, L., Zhang, W., Sheng, Q. Z., Wang, S., & Li, X. (2018). Capsule network for named entity recognition. In Proceedings of the 27th ACM International Conference on Information and Knowledge Management (pp. 1071-1080).
9. Chen, H., Zhang, Y., Xiao, J., & Zhao, W. (2018). Capsule network for lung nodule classification: Analysis of small dataset. Journal of Healthcare Engineering, 2018, 1-9.
10. Zhao, W., & Xiao, J. (2019). Capsule network for text classification: An experimental study. Information Sciences, 479, 96-112.
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