Yoshinobu Kawahara
Yoshinobu Kawahara
Kyushu University / RIKEN
Verified email at imi.kyushu-u.ac.jp - Homepage
Title
Cited by
Cited by
Year
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
390*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
2682011
Learning Koopman invariant subspaces for dynamic mode decomposition
N Takeishi, Y Kawahara, T Yairi
Advances in Neural Information Processing Systems 30, 1130-1140, 2017
1872017
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
1092007
Efficient generalized fused lasso and its application to the diagnosis of Alzheimer’s disease
B Xin, Y Kawahara, Y Wang, W Gao
Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
842014
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
762006
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
702013
Dynamic mode decomposition with reproducing kernels for Koopman spectral analysis
Y Kawahara
Advances in Neural Information Processing Systems 29, 911-919, 2016
662016
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
622013
Size-constrained submodular minimization through minimum norm base
K Nagano, Y Kawahara, K Aihara
ICML, 2011
512011
Minimum average cost clustering
K Nagano, Y Kawahara, S Iwata
Advances in Neural Information Processing Systems 23, 1759-1767, 2010
482010
Subspace dynamic mode decomposition for stochastic Koopman analysis
N Takeishi, Y Kawahara, T Yairi
Physical Review E 96, 033310, 2017
472017
Bayesian Dynamic Mode Decomposition
N Takeishi, Y Kawahara, Y Tabei, T Yairi
The Twenty-Sixth International Joint Conference on Artificial Intelligence …, 2017
462017
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
442012
Submodularity Cuts and Applications.
Y Kawahara, K Nagano, K Tsuda, JA Bilmes
NIPS, 916-924, 2009
382009
Representative selection with structured sparsity
H Wang, Y Kawahara, C Weng, J Yuan
Pattern Recognition 63, 268-278, 2017
362017
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
27*2009
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), 1-22, 2016
262016
Koopman spectral kernels for comparing complex dynamics: Application to multiagent sport plays
K Fujii, Y Inaba, Y Kawahara
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017
232017
Submodular fractional programming for balanced clustering
Y Kawahara, K Nagano, Y Okamoto
Pattern Recognition Letters 32 (2), 235-243, 2011
232011
The system can't perform the operation now. Try again later.
Articles 1–20