Keisuke Fujii

According to our database1, Keisuke Fujii authored at least 13 papers between 2017 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


Online presence:



Dynamic mode decomposition via dictionary learning for foreground modeling in videos.
Comput. Vis. Image Underst., 2020

Supervised sequential pattern mining of event sequences in sport to identify important patterns of play: an application to rugby union.
CoRR, 2020

Policy learning with partial observation and mechanical constraints for multi-person modeling.
CoRR, 2020

Succinct Trit-array Trie for Scalable Trajectory Similarity Search.
Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020

Trajectory prediction with imitation learning reflecting defensive evaluation in team sports.
Proceedings of the 9th IEEE Global Conference on Consumer Electronics, 2020

Supervised dynamic mode decomposition via multitask learning.
Pattern Recognit. Lett., 2019

Dynamic mode decomposition in vector-valued reproducing kernel Hilbert spaces for extracting dynamical structure among observables.
Neural Networks, 2019

Physically-interpretable classification of network dynamics for complex collective motions.
CoRR, 2019

Prediction and classification in equation-free collective motion dynamics.
PLoS Comput. Biol., 2018

Metric on Nonlinear Dynamical Systems with Koopman Operators.
CoRR, 2018

Metric on Nonlinear Dynamical Systems with Perron-Frobenius Operators.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Quantitative Analysis and Visualization of Children's Group Behavior from the Perspective of Development of Spontaneity and Sociality.
Proceedings of the Collaboration and Technology - 24th International Conference, 2018

Koopman Spectral Kernels for Comparing Complex Dynamics: Application to Multiagent Sport Plays.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017