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Computer Science in Sport – Research and Practice: A book review Cover

Computer Science in Sport – Research and Practice: A book review

By: Morgan Stuart  
Open Access
|Jul 2016

References

  1. Baca, A. (2015). Computer Science in Sport: Research and Practice. London and New York: Routledge.
  2. Karpathy, A., Toderici, G., Shetty, S., Leung, T., Sukthankar, R., & Fei-Fei, L. (2014) Large-scale Video Classification with Convolutional Neural Networks. In Proceedings of International Computer Vision and Pattern Recognition (CVPR 2014).10.1109/CVPR.2014.223
  3. Memmert, D., & Perl, J. (2009). Game creativity analysis using neural networks. Journal of Sports Sciences, 27(2), 139-149.10.1080/0264041080244200719058086
  4. Silva, A. J., Costa, A. M., Oliveira, P. M., Reis, V. M., Saavedra, J., Perl, J., & Marinho, D. A. (2007). The use of neural network technology to model swimming performance. Journal of Sports Science and Medicine, 6(1), 117-125.
  5. Yue, Y., Lucey, P., Carr, P., Bialkowski, A., & Matthews, I. (2014). Learning Fine-Grained Spatial Models for Dynamic Sports Play Prediction. In 2014 IEEE International Conference on Data Mining, Shenzhen, pp. 670-679.10.1109/ICDM.2014.106
  6. Yue-Hei Ng, J., Hausknecht, M., Vijayanarasimhan, S., Vinyals, O., Monga, R., & Toderici, G. (2015). Beyond Short Snippets: Deep Networks for Video Classification. In Proceedings of International Computer Vision and Pattern Recognition (CVPR 2015). pp. 4694-4702.10.1109/CVPR.2015.7299101
Language: English
Page range: 59 - 63
Published on: Jul 27, 2016
Published by: International Association of Computer Science in Sport
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2016 Morgan Stuart, published by International Association of Computer Science in Sport
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.