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Discriminant Dynamic Mode Decomposition for Labeled Spatio-Temporal Data Collections

Feb 19, 2021
Naoya Takeishi, Keisuke Fujii, Koh Takeuchi, Yoshinobu Kawahara

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Data-driven Analysis for Understanding Team Sports Behaviors

Feb 15, 2021
Keisuke Fujii

* 9 pages, 2 figures, under review 

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Variational Quantum Algorithms

Dec 16, 2020
M. Cerezo, Andrew Arrasmith, Ryan Babbush, Simon C. Benjamin, Suguru Endo, Keisuke Fujii, Jarrod R. McClean, Kosuke Mitarai, Xiao Yuan, Lukasz Cincio, Patrick J. Coles

* Review Article. 29 pages, 6 figures 

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

Oct 29, 2020
Rory Bunker, Keisuke Fujii, Hiroyuki Hanada, Ichiro Takeuchi

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Policy learning with partial observation and mechanical constraints for multi-person modeling

Jul 07, 2020
Keisuke Fujii, Naoya Takeishi, Yoshinobu Kawahara, Kazuya Takeda

* 17 pages with 7 figures and 4 tables 

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Succinct Trit-array Trie for Scalable Trajectory Similarity Search

May 21, 2020
Shunsuke Kanda, Koh Takeuchi, Keisuke Fujii, Yasuo Tabei

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Physically-interpretable classification of network dynamics for complex collective motions

May 13, 2019
Keisuke Fujii, Naoya Takeishi, Motokazu Hojo, Yuki Inaba, Yoshinobu Kawahara

* 42 pages with 7 figures and 3 tables 

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Metric on Nonlinear Dynamical Systems with Perron-Frobenius Operators

Oct 31, 2018
Isao Ishikawa, Keisuke Fujii, Masahiro Ikeda, Yuka Hashimoto, Yoshinobu Kawahara

* accepted to NIPS2018 

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Dynamic mode decomposition in vector-valued reproducing kernel Hilbert spaces for extracting dynamical structure among observables

Oct 24, 2018
Keisuke Fujii, Yoshinobu Kawahara

* 34 pages with 4 figures 

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Robust Regression for Automatic Fusion Plasma Analysis based on Generative Modeling

Aug 03, 2018
Keisuke Fujii, Chihiro Suzuki, Masahiro Hasuo

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Harnessing disordered quantum dynamics for machine learning

Nov 09, 2016
Keisuke Fujii, Kohei Nakajima

* Phys. Rev. Applied 8, 024030 (2017) 
* 19 pages, 13 figures 

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GPflow: A Gaussian process library using TensorFlow

Oct 27, 2016
Alexander G. de G. Matthews, Mark van der Wilk, Tom Nickson, Keisuke Fujii, Alexis Boukouvalas, Pablo León-Villagrá, Zoubin Ghahramani, James Hensman

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