Yoshinobu Kawahara
Yoshinobu Kawahara
Professor, IMI, Kyushu University / Team Leader, AIP Center, RIKEN
Verified email at imi.kyushu-u.ac.jp - Homepage
Cited by
Cited by
Sequential change‐point detection based on direct density‐ratio estimation
Y Kawahara, M Sugiyama
Statistical Analysis and Data Mining: The ASA Data Science Journal 5 (2 …, 2012
DirectLiNGAM: A direct method for learning a linear non-Gaussian structural equation model
S Shimizu, T Inazumi, Y Sogawa, A Hyvärinen, Y Kawahara, T Washio, ...
Journal of Machine Learning Research 12 (Apr), 1225-1248, 2011
Change-point detection in time-series data based on subspace identification
Y Kawahara, T Yairi, K Machida
Proceedings of the Seventh IEEE International Conference on Data Mining …, 2007
Learning Koopman invariant subspaces for dynamic mode decomposition
N Takeishi, Y Kawahara, T Yairi
Advances in Neural Information Processing Systems 30, 1130-1140, 2017
Efficient Generalized Fused Lasso and its Application to the Diagnosis of Alzheimer's Disease.
B Xin, Y Kawahara, Y Wang, W Gao
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence …, 2014
Efficient network-guided multi-locus association mapping with graph cuts
CA Azencott, D Grimm, M Sugiyama, Y Kawahara, KM Borgwardt
Bioinformatics 29 (13), i171-i179, 2013
Telemetry-mining: a machine learning approach to anomaly detection and fault diagnosis for space systems
T Yairi, Y Kawahara, R Fujimaki, Y Sato, K Machida
Space Mission Challenges for Information Technology, 2006. SMC-IT 2006 …, 2006
Simultaneous pursuit of out-of-sample performance and sparsity in index tracking portfolios
A Takeda, M Niranjan, J Gotoh, Y Kawahara
Computational Management Science 10 (1), 21-49, 2013
Dynamic mode decomposition with reproducing kernels for Koopman spectral analysis
Y Kawahara
Advances in Neural Information Processing Systems 29, 911-919, 2016
Minimum average cost clustering
K Nagano, Y Kawahara, S Iwata
Advances in Neural Information Processing Systems 23, 1759-1767, 2010
Size-constrained submodular minimization through minimum norm base
K Nagano, Y Kawahara, K Aihara
Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011
Bayesian Dynamic Mode Decomposition
N Takeishi, Y Kawahara, Y Tabei, T Yairi
The Twenty-Sixth International Joint Conference on Artificial Intelligence …, 2017
Separation of stationary and non-stationary sources with a generalized eigenvalue problem
S Hara, Y Kawahara, T Washio, P Von BüNau, T Tokunaga, K Yumoto
Neural networks 33, 7-20, 2012
Subspace dynamic mode decomposition for stochastic Koopman analysis
N Takeishi, Y Kawahara, T Yairi
Physical Review E 96, 033310, 2017
Submodularity cuts and applications
Y Kawahara, K Nagano, K Tsuda, JA Bilmes
Advances in Neural Information Processing Systems, 916-924, 2009
Representative selection with structured sparsity
H Wang, Y Kawahara, C Weng, J Yuan
Pattern Recognition 63, 268-278, 2017
A direct method for estimating a causal ordering in a linear non-Gaussian acyclic model
S Shimizu, A Hyvärinen, Y Kawahara, T Washio
Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial …, 2009
A kernel subspace method by stochastic realization for learning nonlinear dynamical systems
Y Kawahara, T Yairi, K Machida
Advances in neural information processing systems, 665-672, 2007
Submodular fractional programming for balanced clustering
Y Kawahara, K Nagano, Y Okamoto
Pattern Recognition Letters 32 (2), 235-243, 2011
Efficient generalized fused Lasso and its applications
B Xin, Y Kawahara, Y Wang, L Hu, W Gao
ACM Transactions on Intelligent Systems and Technology (TIST) 7 (4), 60, 2016
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