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Tsuyoshi Ide's Home Page

This page shows my publication list. Before starting data mining research, I was in two different research areas. Theoretical solid-state physics is the one during the graduate school. Display engineering is my second research area, in which I was engaged in the first couple of years in IBM.

My publication list is as follows:

• Data mining (see also DBLP.)
• Liquid-crystal display technology
• Solid-state physics

For the list of my patents, see here. You can find some datasets I used in my papers at here.

Top Quality Conferences

In the KDD area, IBM Research defines four Top Quality Conferences. These conferences are naturally targeted in my research activities.

• KDD (ACM SIGKDD Conference on Knowldege Discovery and Data Mining)
• SDM (SIAM International Conference on Data Mining)
• ICML (International Conference on Machine Learning)
• ICDM (IEEE International Conference on Data Mining)

I believe ECML/PKDD is also a good conference whose technical quality is on the same level as these, but the definition naturally reflects the fact that IBM is an American company.

Data Mining

Conference Proceedings

• "Predicting Battery Life from Usage Trajectory Patterns"
  Toshiro Takahashi, Tsuyoshi Ide, Proceedings of International Conference on Pattern Recognition (ICPR 2012), pp.xx-xx, 2012.
  
  
• "X10-based massive parallel large-scale traffic flow simulation"
  Toyotaro Suzumura, Sei Kato, Takashi Imamichi, Mikio Takeuchi, Hiroki Kanezashi, Tsuyoshi Ide, Tamiya Onodera,
  Proceedings of the ACM SIGPLAN 2012 X10 Workshop (X10 '12), Article No. 3, pp.3:1-3:4 [link].
  
  
• "Nonlinear Optimization to Generate Non-overlapping Random Dot Patterns"
  Takashi Imamichi, Hidetoshi Numata, Hideyuki Mizuta and Tsuyoshi Ide,
  Proceedings of the Winter Simulation Conference 2011 (WSC 11), pp.2419-2430 [ppt].
  
  
• "Trajectory Regression on Road Networks"
  Tsuyoshi Ide and Masashi Sugiyama,
  Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI-11), pp203-208, 2011 [ppt].
  
  
• "Proximity-Based Anomaly Detection using Sparse Structure Learning"
  Tsuyoshi Ide, Aurelie C. Lozano, Naoki Abe, and Yan Liu,
  Proceedings of 2009 SIAM International Conference on Data Mining (SDM 09), pp.97-108 [ppt].
  
  
• "Travel-Time Prediction using Gaussian Process Regression: A Trajectory-Based Approach"
  Tsuyoshi Ide, and Sei Kato,
  Proceedings of 2009 SIAM International Conference on Data Mining (SDM 09), pp.1185-1196 [ppt].
  
  
• "Semi-Supervised Local Fisher Discriminant Analysis for Dimensionality Reduction"(draft version)
  Masashi Sugiyama, Tsuyoshi Ide, Shinichi Nakajima, and Jun Sese,
  Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2008; Lecture Notes in Computer Science, Springer, Vol. 5012, 2008, pp.333-344 [final version].
  
  
• "Unsupervised Change Analysis using Supervised Learning"(draft version)
  Shohei Hido, Tsuyoshi Ide, Hisashi Kashima, Harunobu Kubo, and Hirofumi Matsuzawa,
  Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2008; Lecture Notes in Computer Science, Springer, Vol. 5012, 2008, pp.148-159 [final version].
  
  
• "Computing Correlation Anomaly Scores using Stochastic Nearest Neighbors"
  Tsuyoshi Ide, Spiros Papadimitriou, and Michail Vlachos,
  Proceedings of the Seventh IEEE International Conference on Data Mining (ICDM 07), Oct 28-31, 2007, pp.523-528 [ppt].
  
  
• "Change-point detection using Krylov subspace learning"
  Tsuyoshi Ide and Koji Tsuda,
  Proceedings of 2007 SIAM International Conference on Data Mining (SDM 07), pp.515-520 [ppt].
  
  
• "Translational symmetry in subsequence time-series clustering"(draft version)
  Tsuyoshi Ide,
  New Frontiers in Artificial Intelligence: Proceeding of the 20th Annual Conferences of the Japanese Society for Artificial Intelligence (JSAI 2006, 7-9 June, 2006, Tokyo), Lecture Notes in Artificial Intelligence, Springer, Vol. 4384, pp.5-18 [final version].
  
  
• "Why does Subsequence Time-Series Clustering Produce Sine Waves?"(draft version)
  Tsuyoshi Ide,
  Proceedings of the 10th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD 06), Sep 18-22, 2006, Lecture Notes in Artificial Intelligence, Springer, Vol.4213, pp.311-322 [final version, ppt].
  
  
• "Pairwise Symmetry Decomposition Method for Generalized Covariance Analysis"
  Tsuyoshi Ide,
  Proceedings of the fifth IEEE International Conference in Data Mining (ICDM 05), Nov 20-27, 2005, pp.657-660 [ppt].
  
  
• "Knowledge Discovery from Heterogeneous Dynamic Systems using Change-Point Correlations"
  Tsuyoshi Ide and Keisuke Inoue,
  Proceedings of 2005 SIAM International Conference on Data Mining (SDM 05), April 21-23, 2005, pp.571-576 [ppt].
  
  
• "Network-based Problem Detection for Distributed Systems,"
  H. Kashima, T. Tsumura, T.Ide, T. Nogayama, R. Hirade, H. Etoh, and T. Fukuda,
  Proceedings of the 21st International Conference on Data Engineering (ICDE 2005), April 5-8, 2005, pp.978-989.
  
  
• "Eigenspace-based Anomaly Detection in Computer Systems,"
  Tsuyoshi Ide and Hisashi Kashima,
  Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2004), pp.440-499 [ppt].
  
  
• "Effective Dimension in Anomaly Detection: Its Application to Computer Systems,"(draft version)
  Tsuyoshi Ide and Hisashi Kashima,
  Post-proceedings of the Eighteenth Annual Conference of Japanese Society of Artificial Intelligence (JSAI 2004, 2-4 June, 2004, Kanazawa), Lecture Notes in Computer Science, Springer, Vol. 3609, pp.189-204 [final version].
  

Journals

• "Vehicle near-miss situation prediction from probe-car data using statistical machine learning"
  Tetsuro Morimura, Yusuke Tanizawa, Shinya yamasaki, Tsuyoshi Ide, Transactions of Society of Automotive Engineers of Japan, Vol.43, No.2, pp.573-578, 2012.
  
  
• "Modeling Patent Quality: A System for Large-scale Patentability Analysis using Text Mining"(draft)
  Shohei Hido,Shoko Suzuki, Risa Nishiyama, Takashi Imamichi, Rikiya Takahashi, Tetsuya Nasukawa, Tsuyoshi Ide, Yusuke Kanehira, Rinju Yohda, Takeshi Ueno, Akira Tajima, and Toshiya Watanabe, Journal of Information Processing, Vol. 20, No.3, pp.667-671[link]
  
  
• "Trajectory Regression for Travel-Time Prediction,"
  Tsuyoshi Ide, and Sei Kato, Transactions of the Japanese Society for Artificial Intelligence, Vol. 25 (2010) , No. 3 pp.377-382 [link].
  
  
• "Unsupervised Change Analysis using Supervised Learning,"
  Hirofumi Matsuzawa, Shohei Hido, Tsuyoshi Ide, and Hisashi Kashima, IEICE Transactions on on Information and Systems, Vol.E93-D, No.6  pp.816-825, 2010 [link].
  
  
• "Semi-supervised local Fisher discriminant analysis for dimensionality reduction,"
  Masashi Sugiyama, Tsuyoshi Ide, Shinichi Nakajima, and Jun Sese, Machine Learning Journal, vol.78, no.1-2, pp.35-61, 2010 [link].
  
  
• "Recent Advances and Trends in Large-scale Kernel Methods,"
  Hisashi Kashima, Tsuyoshi Ide, Tsuyoshi Kato, and Masashi Sugiyama, IEICE Transactions on on Information and Systems, Vol.E92-D, No.7  pp.1338-1353, 2009 [link].
  
  
• "Network-Based Problem Detection for Distributed Systems,"
  Hisashi KASHIMA, Tadashi TSUMURA, Tsuyoshi IDE, Takahide NOGAYAMA, Ryo HIRADE, Hiroaki ETOH, and Takeshi FUKUDA,
  The IEICE Transactions on Information and Systems, Vol. J89-D, No.2, pp.183-198, 2006 [link].

Invited Talk / Seminar Speaker

• "Formalizing expert knowledge through machine learning"
  Tsuyoshi Ide, Service Science Research Forum, 2012, Tokyo, Japan [ppt].
  
  
• "Historical Perspectives towards Analytics Revolution"
  Tsuyoshi Ide, The 56th Annual Symposium of the Institute of Systems, Control and Information Engineers (SCI'12), Kyoto, Japan
  
  
• "Trajectory regression on networks"
  Tsuyoshi Ide, Japanese-French Frontiers of Science Symposium (JFFoS), 2012, Nice, France.
  
• "Machine Learning for Anomaly Detection and Risk Analysis, II"
  IBISML Tutorial, Univ. Tokyo, Jan. 12, 2012 [contents]
  
  
• "Solving real business problems with math sciences"
  SIG Service Science  The Operating Research Society of Japan, Tsukuba University, Dec. 19, 2011 [pdf]
  
  
• "Anomaly detection using sparse structure learning"
  Adachi Lab Seminar, Keio University, Dec. 12, 2010 [pdf]
  
  
• On recent advances in machine learning for system identification
  DoE Conference 2010, Nov. 15, 2010 [flyer, pdf].
  
  
• "On the trajectory regression problem on networks"
  Tsuyoshi Ide
  Sugiyama Lab. Seminar, Department of Computer Science, Tokyo Institute of Technology, (Oct. 7, 2010).
  
  
• "On a regression problem for path cost"
  Tsuyoshi Ide
  ERATO Seminar, Hokkaido University (Sep. 27, 2010).
  
  
• "Detecting Anomalies from Latent Graph Structures"
  Tsuyoshi Ide
  The 1st Workshop on Latent Dynamics (LD-1), Tokyo, Japan (Jun 16, 2010).
  
  
• "On the problem of cost estimation for paths"
  Tsuyoshi Ide
  Mathematical Informatics Colloquium, University of Tokyo (Feb. 24, 2010).
  
  
• "Applying Machine Learning Techniques to Sensor Data Analysis"
  Tsuyoshi Ide
  Global COE 'CompView' kickoff event, Tokyo Institute of Technology (Dec. 13, 2007).
  
  
• "Why does subsequence time-series clustering produce sine waves?"
  Tsuyoshi Ide,
  Departmental Colloquium, Max Planck Institute for Biological Cybernetics (Sep. 13, 2006).
  
  
• "A Spectral Approach to Anomaly Detection in Computer Systems"
  Tsuyoshi Ide,
  Scientific Computing Seminar, Berkeley Lab (April 25, 2005).
  
  
• "Feature Extraction and Anomaly Detection in Web-based Computer Systems,"
  Tsuyoshi Ide and Hisashi Kashima,
  Proceedings of the Seventh Workshop on Information-Based Induction Sciences (IBIS2004, Tokyo, Japan), November 8 -10, 2004, pp.7-14, ISBN4-9902248-0-9 [in Japanese, ppt]
  

Books

• "Pattern Recognition and Machine Learning"[info (in Japanese)]
  H. Motoda, T. Kurita, T. Higuchi, Y. Matsumoto, and N. Murata (Eds.), S. Akaho, T. Kamishima, M. Sugiyama, T. Onoda, K. Ikeda, H. Kashima, H. Kazawa, S. Nakajima, J. Takeuchi, D. Mochihashi, S. Oyama, T. Ide, K. Shinoda, and H. Yamakawa. (Trans.), Springer Japan, 2007-2008 (This book is Japanese translation of "Pattern Recognition and Machine Learning" by Christopher M. Bishop).
  
  
• "New Frontiers in Artificial Intelligence: JSAI 2008 Conference and Workshops (Asahikawa, Japan, June 11-13, 2008) Revised Selected Papers"
  H. Hattori, T. Kawamura, T. Ide, M. Yokoo, Y. Murakami (Eds.)
  Lecture Notes in Artificial Intelligence, Vol. 5447, Springer [link].
  

Workshops, meetings

• "Vehicle near-miss situation prediction from probe-car data using statistical machine learning"
  Tetsuro Morimura, Yusuke Tanizawa, Shinya Yamasaki, and Tsuyoshi Ide,
   Proceedings of the 2011 Autumn Congress of Society of Automotive Engineers of Japan (Oct. 14, 2011, Sapporo, Japan), No.20115548 [ppt].
  
  
• "On regression problem for paths on networks"
  Tsuyoshi Ide,
  Proceedings of the 13th Workshop on Information-Based Induction Sciences (IBIS2010, Tokyo, Japan), Nov. 4-6, 2010 [poster].
  
  
• "Overview of the IBIS 2009 technical program"
  Tsuyoshi Ide and Shinichi Nakajima,
  Proceedings of the 12th Workshop on Information-Based Induction Sciences (IBIS2009, Fukuoka, Japan), Oct. 19-21, 2009 [ppt].
  
  
• "Travel-Time Prediction using String Kernels,"
  Tsuyoshi Ide and Sei Kato,
  Proceedings of the 23th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI 2009, Takamatsu, 2009) [ppt].
  
  
• "Sparse structure learning for correlation anomaly detection"
  Tsuyoshi Ide,
  Proceedings of the 9th Workshop on Data Mining and Statistical Mathematics (DMSM, Kyoto, Japan), Mar. 3-4, 2009 [ppt].
  
  
• "Application of Sparse Structure Learning to Anomaly Detection"
  Tsuyoshi Ide,
  Proceedings of the 11th Workshop on Information-Based Induction Sciences (IBIS2008, Sendai, Japan), Oct. 29-31, 2008 [preview, poster].
  
  
• "Concept Drift Extraction and Analysis by using a Difference Model of Decision Trees"(draft version)
  Hirofumi Matsuzawa, Harunobu Kubo, Hisashi Kashima, Tsuyoshi Ide, and Shohei Hido, Proceedings of Web DB Forum 2008 (Dec. 1-2, 2008, Tokyo).
  
  
• "Anomaly Detection with Neighborhood Preservation Principle"
  Tsuyoshi Ide,
  Proceedings of the 10th Workshop on Information-Based Induction Sciences (IBIS2007, Yokohama, Japan), Nov. 5-7, 2007, pp. 212-217 [ppt].
  
  
• "Semi-supervised local Fisher discriminant analysis for dimensionality reduction"
  M. Sugiyama, T. Ide, S. Nakajima, and J. Sese
  Proceedings of the 10th Workshop on Information-Based Induction Sciences (IBIS2007, Yokohama, Japan), Nov. 5-7, 2007, pp.1-6 [ppt].
  
  
• "Speeding up Change-Point Detection using Matrix Compression"
  Tsuyoshi Ide,
  Proceedings of the 9th Workshop on Information-Based Induction Sciences (IBIS2006, Osaka, Japan), Oct. 31-Nov. 2, 2006, pp.124-129 [ppt].
  
  
• "Theoretical basis for subsequence time-series clustering,"
  Tsuyoshi Ide,
  Proceedings of the 20th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI 2006, Tokyo, 2006), 2A1-02 [ppt,JSAI Annual Conference Award].
  
  
• "On Group-Theoretical Generalization of Correlation Matrices,"
  Tsuyoshi Ide,
  Proceedings of the 8th Workshop on Information-Based Induction Sciences (IBIS2005, Tokyo, Japan), November 9 -11, 2005 [ppt].
  
  
• "Knowledge discovery from time-series data using nonlinear transformations,"
  Tsuyoshi Ide and Keisuke Inoue,
  Proceedings of the Fourth Data Mining Workshop (The Japan Society for Software Science and Technology, Tokyo, 2004), ISSN 1341-870X, No.29, 2004, pp.1-8.
  
  
• "Eigenspace approach to anomaly detection in computer systems,"
  Tsuyoshi Ide and Hisashi Kasima,
  Proceedings of the 18th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI 2004, Kanazawa, 2004), 3F3-05 [ppt, JSAI Annual Conference Award].
  

Articles in Japanese

• "Recent developments in machine learning and its application to system modeling,"
  Tsuyoshi Ide and Takehisa Yairi
  Journal of the Society of Instrument and Control Engineers, Vol.49, No.7 (2010), pp.463-465.
  
  
• "Change-point detection and failure analysis of sensor data using sparse structure learning,"
  Tsuyoshi Ide
  ProVISION No.65/Spring 2010, pp.73-78 [link].
  
  
• "Activity Report: JSAI 2009 Special Session 'At the Frontiers of Research and Business',"(draft version)
  Tsuyoshi Ide,
  Journal of the Japanese Society for Artificial Intelligence, Vol. 24 No. 5 (2009), pp.762 [ppt for panel].
  
  
• "Book review: Kernel multivariate analysis,"(draft version)
  Tsuyoshi Ide,
  Journal of the Japanese Society for Artificial Intelligence, Vol. 24 No. 3 (2009), pp.457.
  
  
• "The 10th European Conference on Principles and Practice of Knowledge Discovery in Databases"(draft version)
  Tsuyoshi Ide,
  Journal of the Japanese Society for Artificial Intelligence, Vol. 22 No. 3 (2007), pp.356-357.

Liquid-crystal display technologies

Conference Proceedings

• T. Ide, H. Numata, H. Mizuta, Y. Taira, M. Suzuki, M. Noguchi, and Y. Katsu,
  "Moire-Free Collimating Light Guide with Low-Discrepancy Dot Patterns," Digest of Technical Papers (Society for Information Display, Boston, 2002), pp. 1232-1235 [ppt file].
  
  * Utilizing low-discrepancy sequences, I developed a new theoretical method to generate optimally disordered dot patterns, which can drastically improve the luminance uniformity of liquid-crystal displays.

Journals

• T. Ide, H. Numata, Y. Taira, H. Mizuta, M. Suzuki, M. Noguchi, and Y. Katsu,
  "A novel dot-pattern generation to improve luminance uniformity of an LCD backlight," Journal of the Society for Information Display, Vol.11, No.4 (2003) 659-665.
  
  * Another full paper version of Ide et al. (2002) discussing the actual applicability to several optical parts in LCDs. The technology described in this paper is used in several models of ThinkPad as the FlexView display.
  
  
• T. Ide, H. Mizuta, H. Numata, Y. Taira, M. Suzuki, M. Noguchi, and Y. Katsu,
  "Dot pattern generation technique using molecular dynamics," Journal of the Optical Society of America, A, 20 (2003) 242-255.
  
  * A full paper version of Ide et al. (2002) discussing the theoretical aspects of low-discrepancy sequences and their dynamical relaxation method.

Articles in Japanese

• Tsuyoshi IDE and Yoichi TAIRA,
  "Dot pattern generation techniques for optical systems," Monthly Display, Techno Times, Vol.9, No.1 (2003).
  
  
• T. Ide, H. Numata, H. Mizuta, Y. Taira, M. Suzuki, M. Noguchi, and Y. Katsu,
  "Method for generating uniform irregular dot patterns and its application to optical devices," Proceedings of the 27th Kogaku Symposium (Optical Society of Japan, Shinjuku, 2002).
  
  
• Tsuyoshi IDE,
  "Shin hakushi shoukai," Journal of the Japanese Society for Synchrotron Radiation Research, 13 (2000) 54-55.
  

Solid state physics

Journal

• Tsuyoshi Ide and Akio Kotani,
  "Nonlocal screening effect in Cu 4p(sigma) -1s resonant X-ray emission spectra of Nd2CuO4," J. Phys. Soc. Jpn. 69 (2000) 3107-3114 [link].
  
  * An extension of the theory of Ide-Kotani (1999) to a similar excitation process. It includes one of the earliest calculations on the momentum transfer dependence of the inelastic X-ray scattering process.
  
  
• Tsuyoshi Ide and Akio Kotani,
  "Interplay between Raman and fluorescence-like components in resonant X-ray emission spectra of degenerate d⁰ and d¹ systems," J. Phys. Soc. Jpn. 69 (2000) 1895-1906 [link].
  
  * I proposed a new 1D d-p model with orbital degeneracy, which can be viewed as a minimal model having (1) a translational symmetry of lattice, (2) a local point group symmetry, and also (3) on-site electronic correlations. Based on this model, I gave an explanation of the separation of fluorescence component in the X-ray emission spectra.
  
  
• K. Hamalainen, J. P. Hill, S. Huotari, C. -C. Kao, L. E. Berman, A. Kotani, T. Ide, J. L. Peng, and R. L. Greene,
  "Polarization and momentum dependence of a charge-transfer excitation in Nd2CuO4," Phys. Rev. B 61 (2000) 1836-1840 [link].
  
  * This paper experimentally reports that locally screened states are not enough to explain the excitation energy dependence in the Cu 1s-4(sigma) excitation in Nd2CuO4. I provided results of theoretical calculations to demonstrate a nonlocal effect.
  
  
• Tsuyoshi Ide and Akio Kotani,
  "Local and nonlocal excitations in Cu 4p-1s resonant X-ray emission spectra of Nd2CuO4," J. Phys. Soc. Jpn. 68 (1999) 3100-3109 [link].
  
  * The first paper that demonstrates the Zhang-Rice singlet, which is characteristic of high-Tc superconductors, clearly contributes to resonant X-ray emission spectra.
  
  
• Tsuyoshi Ide and Akio Kotani,
  "A model study on cluster size effects of resonant X-ray emission spectra," J. Phys. Soc. Jpn. 67 (1998) 3621-3629 [link].
  
  * The first paper that succeed in theoretically enplaning a strange behavior in 2p-3d resonant X-ray emission spectra first observed in TiO2. This is the first demonstration of a crucial role of the nonlocal screening effect in core-level resonant inelastic X-ray scattering.
  
  
• A. Kotani and T. Ide,
  "Theoretical study on cluster size effects on X-ray absorption and resonant X-ray emission spectra in d and f electron systems," J. Synchrotron. Rad. 6 (1999) 308-309, presented at XAFS X (International Union of Crystallography, Chicago, USA, 10-14 August 1998).
  
  * A short review of the impact of Ide-Kotani (1998). The presentation was made by Prof. Kotani in Chicago.

Articles in Japanese

• Tsuyoshi IDE,
  "Shin hakushi shoukai," Journal of the Japanese Society for Synchrotron Radiation Research, 13 (2000) 54-55.
  

Ph.D Thesis

• Tsuyoshi IDE,
  "Theoretical Study on Nonlocal Effects in Resonant X-Ray Emission Spectra of Strongly-Correlated Systems," Ph.D Thesis, The University of Tokyo, 2000 [thesis defence foils].
  

Patents

The list is  [as of Jun 2008].

For each invention, closely similar documents are combined into one item. For example, U.S. Patent US6754419 has almost the same contents as U.S. Patent Application US20030098834A1 and Japanese Patent Application 特開 2003-66208, so are combined into one item.

1. Tsuyoshi Ide, Hideyuki Mizuta, Yoichi Taira, Akiko Nishikai
   "Discrete pattern," US6754419 (US20030098834A1, 特開2003-66208).
   

2. Tsuyoshi Ide, Hideyuki Mizuta, Yoichi Taira, Akiko Nishikai
   "Discrete pattern, apparatus, method, and program storage device for generating and implementing the discrete pattern," US6865325 (US20030210210A1, 特開2007-306576).
   

3. Etoh Hiroaki, Ryo Hirade, Hisashi Kashima, Tsuyoshi Ide
   "Computer operation analysis," US20050166081A1 (特開2005-190277).
   

4. Tsuyoshi Ide, Kunikazu Yoda, Hisashi Kashima, Hiroaki Etoh, Ryo Hirade,
   "Anomaly detection," US7346803 (US20050193281A, 特開2005-216066).
   

5. Keisuke Inoue, Tsuyoshi Ide
   "Diagnostic data detection and control," US7181365 (US20050209820A1,特開2005-25741).
   

6. Tsuyoshi Ide, Keisuke Inoue, Toshiyuki Yamane, Hironori Takeuchi
   "Anomaly detection based on directional data," US7406653 (US20060053123A1, 特開2006-048253).
   

7. Tsuyoshi Ide
   "Malfunction condition judgment apparatus, control method, automobile and program method," US20070021890A1 (特開2006-331300).
   

8. Tsuyoshi Ide,
   "Pairwise Symmetry Decomposition Method for Generalized Covariance Analysis," US20070192066A1 (特開2007-108998).
   

9. Tsuyoshi Ide,
   "Method and System for Detecting Difference Between Plural Observed Results," US20080010330A1 (特開2008-014912).
   

10. Tsuyoshi Ide, Shoko Suzuki,
    "Technique for Detecting Anomaly in Observation Target," US20080140751A1 (特開2008-146353).
    

11. Tsuyoshi Ide, Shoko Suzuki,
    "Scoring Method for Correlation Anomalies," US20080183423A1.