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Tsuyoshi Ide
Tsuyoshi Ide
IBM T. J. Watson Research Center
Verified email at us.ibm.com - Homepage
Title
Cited by
Cited by
Year
Eigenspace-based anomaly detection in computer systems
T Idé, H Kashima
Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004
3182004
Semi-supervised local Fisher discriminant analysis for dimensionality reduction
M Sugiyama, T Idé, S Nakajima, J Sese
Machine learning 78 (1), 35-61, 2010
3012010
Knowledge discovery from heterogeneous dynamic systems using change-point correlations
T Idé, K Inoue
Proceedings of 2005 SIAM International Conference on Data Mining (SDM 05 …, 2005
1152005
Travel-Time Prediction Using Gaussian Process Regression: A Trajectory-Based Approach.
T Idé, S Kato
Proceedings of 2009 SIAM International Conference on Data Mining (SDM 09 …, 2009
1072009
Computing correlation anomaly scores using stochastic nearest neighbors
T Idé, S Papadimitriou, M Vlachos
Seventh IEEE international conference on data mining (ICDM 2007), 523-528, 2007
982007
Unsupervised change analysis using supervised learning
S Hido, T Idé, H Kashima, H Kubo, H Matsuzawa
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 148-159, 2008
842008
Anomaly detection
T Ide, K Yoda, H Kashima, H Etoh, R Hirade
US Patent 7,346,803, 2008
822008
Proximity-Based Anomaly Detection Using Sparse Structure Learning.
T Idé, AC Lozano, N Abe, Y Liu
Proceedings of 2009 SIAM International Conference on Data Mining (SDM 09 …, 2009
772009
Signal and noise extraction from analog memory elements for neuromorphic computing
N Gong, T Idé, K S., B I., S A., N V., T Ando
Nature Communications 9 (1), 2102, 2018
732018
Dot pattern generation technique using molecular dynamics
T Idé, M Suzuki, M Noguchi, H Mizuta, H Numata, Y Katsu, Y Taira
Journal of the Optical Society of America, A 20 (2), 248-255, 2003
652003
Trajectory Regression on Road Networks.
T Idé, M Sugiyama
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence …, 2011
612011
Change-point detection using krylov subspace learning
T Idé, K Tsuda
SIAM International Conference on Data Mining (SDM 2007), 515-520, 2007
602007
Discrete pattern
T Ide, H Mizuta, Y Taira, A Nishikai
US Patent 6,754,419, 2004
582004
Polarization and momentum dependence of a charge-transfer excitation in
K Hämäläinen, JP Hill, S Huotari, CC Kao, LE Berman, A Kotani, T Idé, ...
Physical Review B 61 (3), 1836, 2000
562000
Discrete pattern, apparatus, method, and program storage device for generating and implementing the discrete pattern
T Ide, H Mizuta, Y Taira, A Nishikai
US Patent 6,865,325, 2005
482005
Semi-supervised local Fisher discriminant analysis for dimensionality reduction
M Sugiyama, T Idé, S Nakajima, J Sese
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 333-344, 2008
422008
Why does subsequence time-series clustering produce sine waves?
T Idé
european conference on principles of data mining and knowledge discovery …, 2006
422006
IBM Mega Traffic Simulator
T Osogami, T Imamichi, H Mizuta, T Morimura, R Raymond, T Suzumura, ...
IBM Res., Tokyo, Japan, IBM Res. Rep. RT0896, 2012
412012
X10-based massive parallel large-scale traffic flow simulation
T Suzumura, S Kato, T Imamichi, M Takeuchi, H Kanezashi, T Ide, ...
Proceedings of the 2012 ACM SIGPLAN X10 Workshop, 1-4, 2012
362012
Anomaly detection based on directional data
T Ide, K Inoue, T Yamane, H Takeuchi
US Patent 8,640,015, 2014
352014
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