Acknowledgement
Supported by : 정보통신기술진흥센터, 한국산업기술평가관리원
References
- V. Pejovic and M. Musolesi, "Anticipatory Mobile Computing: A Survey of the State of the Art and Research Challenges," ACM Computing Serveys, Vol. 47, No. 3, 2015.
- A. Sadilek and J. Krumm, "Far Out: Predicting Long-Term Human Mobility," Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012.
- X. Ma, H. Yu, Y. Wang, and Y. Wang, "Large-scale transportation network congestion evolution prediction using deep learning theory," PloS one, Vol. 10, No. 3, 2015.
- A. Y. Ng and S. Russell, "Algorithm for Inverse Reinforcement Learning," Proceedings of the Seventeenth International Conference on Machine Learning, 2000.
- D. Castro, S. Hickson, V. Bettadapura, E. Thomaz, G. Abowd, H. Christensen, and I. Essa, "Predicting Daily Activities From Egocentric Images Using Deep Learning," proceedings of the 2015 ACM International symposium on Wearable Computers, 2015.
- S.-W. Lee, C.-Y. Lee, D.-H. Kwak, J.-W. Ha, J. Kim, and B.-T. Zhang, "Dual-memory neural networks for modeling cognitive activities of humans via wearable sensors," Neural Networks, Vol. 92, 2017.
- T. Huynh, M. Fritz, and B. Schiele, "Discovery of Activity Patterns using Topic Models," Proceedings of the 10th international conference on Ubiquitous computing, 2008.