河原吉伸 - 論文

Dynamic mode decomposition via dictionary learning for foreground modeling in videos

I. Ul Haq, K. Fujii, Y. Kawahara

Proc. of the 15th Int'l Joint Conf. on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP'20) (accepted) 2020年査読有り

Physically-interpretable classification of network dynamics in complex collective motions

K. Fujii, N. Takeishi, M. Hojo, Y. Inaba, Y. Kawahara

Scientific Reports (accepted) 2020年査読有り

Principal points analysis via p-median problem for binary data

H. Yamashita, Y. Kawahara

Journal of Applied Statistics (accepted) 2019年査読有り

Data-driven spectral analysis for coordinative structures in periodic human locomotion

K. Fujii, N. Takeishi, B. Kibushi, M. Kouzaki, Y. Kawahara

Scientific Reports 9 16755 2019年査読有り

Active Change-point Detection

S. Hayashi, Y. Kawahara, H. Kashima

Proc. of the 11th Asian Conference on Machine Learning (ACML'19) PMLR: 101 1017 - 1032 2019年査読有り

An efficient branch-and-cut and heuristic algorithms for submodular function maximization

N. Uematsu, S. Umetani, Y. Kawahara

Journal of the Operations Research Society of Japan (accepted) 2019年査読有り

An efficient branch-and-cut algorithm for approximately submodular function maximization

N. Uematsu, S. Umetani, Y. Kawahara

Proc. of the 2019 IEEE Int'l Conf. on Systems, Man, and Cybernetics (IEEE SMC'19) 3160 - 3167 2019年査読有り

テキストベースの深層学習における分類パターンの解釈支援

安藤雅行, 河原吉伸, 砂山渡, 畑中裕司, 小郷原一智

知能と情報（日本知能情報ファジィ学会誌） 31(4) 779 - 787 2019年査読有り

Variational inference of penalized regression with submodular functions

K. Takeuchi, Y. Yoshida, Y. Kawahara

Proc. of the 35th Conf. on Uncertainty in Artificial Intelligence (UAI'19) 443 2019年査読有り

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

K. Fujii, Y. Kawahara

Neural Networks 117 94 - 103 2019年査読有り

Learning with coherence patters in multivariate time-series data via dynamic mode decomposition

T. Bito, M. Hiraoka, Y. Kawahara

Proc. of the 2019 Int'l Joint Conf. on Neural Networks (IJCNN'19) paper N-19278 2019年査読有り

Analysis of factors predicting who obtains a ball in basketball rebounding situations

M. Hojo, K. Fujii, Y. Kawahara

International Journal of Performance Analysis in Sport 19(2) 192 - 205 2019年査読有り

Supervised dynamic mode decomposition via multitask learning

K. Fujii, Y. Kawahara

Pattern Recognition Letters 122 7 - 13 2019年査読有り

Prediction and classification in equation-free collective motion dynamics

K. Fujii, T. Kawasaki, Y. Inaba, Y. Kawahara

PLoS Computational Biology 14(11) e1006545 2018年査読有り

Metric on nonlinear dynamical systems with Perron-Frobenius operators

I. Ishikawa, K. Fujii, M. Ikeda, Y. Hashimoto, Y. Kawahara

Advances in Neural Information Processing Systems 31 (NIPS 2018) 2858 - 2868 2018年査読有り

Factorially-switching dynamic mode decomposition for Koopman analysis of time-variant systems

N. Takeishi, T. Yairi, Y. Kawahara

Proc. of the 57th IEEE Conf. on Decision and Control (CDC 2018) 6402 - 5408 2018年査読有り

Highly biocompatible super-resolution fluorescence imaging using the fast photoswitching fluorescent protein Kohinoor and SPoD-ExPAN with Lp-regularized image reconstruction

T. Wazawa, Y. Arai, Y. Kawahara, H. Takauchi, T. Washio, T. Nagai

Microscopy 67(2) 89 - 98 2018年査読有り

Automatically recognizing strategic cooperative behaviors in various situations of a team sport

M. Hojo, K. Fujii, Y. Inaba, Y. Motoyasu, Y. Kawahara

PLoS ONE 13(12) e0209247 2018年査読有り

Learning Koopman invariant subspaces for dynamic mode decomposition

N. Takeishi, Y. Kawahara, T. Yairi

Advances in Neural Information Processing Systems 30 (NIPS 2017) 1130 - 1140 2017年査読有り

Subspace dynamic mode decomposition for stochastic Koopman analysis

N. Takeishi, Y. Kawahara, T. Yairi

Physical Review E 96 03310 2017年査読有り