Data Assimilation and Preliminary Security Planning for People Crowd

Author:

Matsubayashi Tatsushi1,Kiyotake Hiroshi1,Kohjima Masahiro1,Toda Hiroyuki1,Tanaka Yusuke1,Muto Yuichi1,Shiohara hisako1,Miyamoto Masaru1,Shimizu Hitoshi2,Ohtsuka Takuma2,Iwata Tomoharu2,Sawada Hiroshi2,Naya Futoshi2,Ueda Naonori2

Affiliation:

1. NTT Service Evolution Laboratories

2. NTT Comunication Science Laboratories

Publisher

Japanese Society for Artificial Intelligence

Subject

Artificial Intelligence,Software

Reference13 articles.

1. [Bera 15] Bera, A., Kim, S., and Manocha, D.: ``Efficient trajectory extraction and parameter learning for data-driven crowd simulation'', In: Proceedings of the 41st Graphics Interface Conference, pp. 65--72. Canadian Information Processing Society (2015)

2. [Bull 11] Bull, A.D.:``Convergence rates of efficient global optimization algorithms'', Journal of Machine Learning Research, Vol.12 No.Oct, pp. 2879--2904 (2011)

3. [Castle 11] Castle, C., Waterson, N., Pellissier, E., and Le Bail, S.: ``A comparison of grid-based and continuous space pedestrian modelling software: Analysis of two uk train stations'', In: Pedestrian and Evacuation Dynamics, pp. 433--446, Springer (2011)

4. [Holland 92] Holland, J. H.:``Genetic algorithms'', Scientific American, Vol.267, No.1, pp. 66--73 (1992).

5. [Kandasamy 15] Kandasamy, K., Schneider, J., and P'oczos, B.: ``High dimensional Bayesian optimisation and bandits via additive models'', In: International Conference on Machine Learning, pp. 295--304 (2015)

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