Katsuhiko Ishiguro, Ph. D.
Jan, 2016
NTT Communication Science Laboratories

TEL: +81-774-93-5399

NTT Corporation

FAX: +81-774-93-5155

2-4 Hikari-dai, Soraku-gun

k.ishiguro.jp@ieee.org

Kyoto 619-0237 JAPANwww.kecl.ntt.co.jp/as/members/ishiguro/

SUMMARY
Katsuhiko Ishiguro has been a researcher of NTT Communication Science Laboratories,
NTT Corporation since April 2006.
He received the B. Engineering and M. Informatics degrees from The University of Tokyo in
2004 and 2006, respectively and the Ph. D. in engineering from University of Tsukuba in2010.
He has been working on machine learning and statistical pattern recognition to develop new
data-mining techniques for movies, still images, sound recordings, relational data and theirmixtures. His research interests include probabilistic models for data mining of complex data,
statistical pattern recognition for multimedia data, time series analysis and cognitiverobotics.
He received the Presentation Award from the IPSJ Special Interest Group of Mathematical
Modeling and Problem Solving in 2010, and the Interactive Presentation Award atMIRU2013. He is a member of IEEE.

EMPLOYMENTNTT COMMUNICATION SCIENCE LABORATORIES
Researcher, April 2006, present.

NATIONAL INSTITUTE FOR ADVANCED SCIECNE AND TECHNOLOGYTechnical Staff, April 2005, March 2006.

EDUCATION
UNIVERSITY OF TSUKUBA:
Ph. D - Doctor of engineering, March 2010.
Dissertation title: “Statistical Approach to Time Series Data Analysis and Modeling”

Supervised by Prof. Nobuyuki Otsu

UNIVERSITY OF TOKYO:
M. Informatics, March 2006,
Supervised by Prof. Nobuyuki Otsu and Prof. Yasuo Kuniyoshi
B. Engineering, March 2004,
Supervised by Prof. Nobuyuki Otsu and Prof. Yasuo Kuniyoshi

HONORS AND AWARDS
1.

A. Kimura, K. Ishiguro, A. Marcos Alvarez, K. Kataoka, K. Murasaki, and M. Yamada,,
Interactive Presentation award, The 16th Meeting on Image Recognition andUnderstanding (MIRU), 2013.

2.

K. Ishiguro, Math & Stats Award, Purchase Log Data Analysis Contest, NTT Cyber
Communication Laboratory Group, 2011.

3.

K. Ishiguro, Director Encouraging Award, NTT Communication Science Laboratories,
2011.

4.

K. Ishiguro, Presentation award, Information Processing Society of Japan (IPSJ),
Special interest group of Mathematical modeling and Problem Solving (MPS), 2010.

PUBLICATIONSREFERRED JOURNAL ARTICLES:
1.

N. Takaya, K. Esaki, K. Ishiguro, and Y. Ichikawa, “The Behavior Generation Modeling
Method to Extract the Reason to Select Shops”, Journal of Information Processing, Vol.
57, No. 1, pp. 145-156, 2016 (in Japanese).

2.

A. Kimura, K. Ishiguro, A. Marcos Alvarez, M. Yamada, K. Kataoka, and K. Murasaki,“Discovering and Describing Image Contexts from Socially Curated Contents asCorpora”, IPSJ Transactions on Mathematical Modeling and its Applications, Vol 8, No.
3, pp. 10-25, 2015 (in Japanese).

3.

T. Ohtsuka, K. Ishiguro, T. Yoshioka, H. Sawada, and H. Okuno, “Multichannel Sound
Source Dereverberation and Separation for Arbitrary Number of Sources based on
Bayesian Nonparametrics”, IEEE Transactions on Audio, Speech and Language
Processing, Vol. 22, No. 12, pp 2218-2232, 2015.

4.

K. Duh, A. Kimura, T. Hirao, K. Ishiguro, T. Iwata, and C.-M. Au Yeung, “CreatingStories: Social Curation of Twitter Messages”, IEICE Transactions on Information andSystems, Vol. 397-D, No. 6, pp. 1557-1566 2014.

5.

K. Takeuchi, K. Ishiguro, A. Kimura, and H. Sawada, “Multiple Matrix Factorization
under the Non-negative Constraints and its Applications for Social Media Analysis”,IPSJ Transactions on Mathematical Modeling and its Applications, Vol. 7, No. 1, pp.
71-83, 2014 (in Japanese).

6.

T. Ohtsuka, K. Ishiguro, H. Sawada, and H. G. Okuno, “Bayesian Nonparametric for
Microphone Array Processing”, IEEE Transactions on Audio, Speech and Language
Processing, Vol. 22, No. 2, pp. 493-504, 2014.

7.

A. Kimura, M. Sugiyama, T. Nakano, H. Kameoka, H. Sakano, E. Maeda, and K.
Ishiguro, “SemiCCA: An Efficient Semi-supervised Learning of Canonical Correlations”,
IPSJ Transactions on MPS, Vol. 16, No. 1, pp. 128-135, 2013.

8.

K. Ishiguro, T. Yamada, S. Araki, T. Nakatani and H. Sawada, “Probabilistic Speaker
Diarization with Bag-of-words Representations of Speaker Angle Information”, IEEE
Transactions on Audio, Speech and Language Processing, Vol. 20, No. 2, pp. 447-460,
2012.

9.

K. Ishiguro, T. Iwata and N. Ueda, “Dynamic Infinite Relational Model forTime-dependent Relational Data Analysis”, IPSJ Transactions on Mathematical
Modeling and its Applications, Vol. 3, No. 1, pp. 1 – 12, 2010 (in Japanese).

10. H. Sakano, T. Yamada and K. Ishiguro, “A Preliminary Study of Human Motion
Recognition Using Error Correction Learning”, IPSJ Transactions on Mathematical
Modeling and its Applications, Vol. 2, No. 3, pp. 153-161, 2009 (in Japanese).
11. K. Ishiguro, T. Yamada and N. Ueda, “Clustering and Tracking Multi-target Time Series
Data Based on Nonparametric Bayes Model”, IEICE Transactions on Informationand Systems, Vol. J92-D, No. 3, pp. 371-381, 2009 (in Japanese).
12. K. Ishiguro, N. Otsu, M. Lungarella and Y. Kuniyoshi, “Comparison of Nonlinear
Granger Causality Extensions for Low-Dimensional Systems”, Physical Review E, Vol.
77, No. 3, 036217, 2008.
13. K. Ishiguro, N. Otsu, M. Lungarella and Y. Kuniyoshi, “Detecting Direction of Causal
Interactions between Dynamically Coupled Signals”, Physical Review E, Vol. 77, No. 2,026216, 2008.
14. M. Lungarella, K. Ishiguro, Y. Kuniyoshi and N. Otsu, “Methods for Quantifying theCausal Structure of Bivariate Time Series”, International Journal of Bifurcation andChaos, Vol. 17, No. 3, pp. 903-921, 2007.

REFERRED INTERNATIONAL CONFERENCES:

1.

K. Ishiguro, I. Sato, M. Nakano, A. Kimura, and N. Ueda, “Infinite Plaid Models forInfinite Bi-clustering”, Proceedings of the 30th AAAI Conference on Artificial Intelligence(AAAI), to appear.

2.

K. Ishiguro, I. Sato, and N. Ueda, “Averaged Collapsed Variational Bayes Inference ofInfinite Relational Model”, in Advances in Variational Inference Workshop (atNIPS2014), 2014.

3.

T. Ohtsuka, K. Ishiguro, H. Sawada, and H. Okuno, “Bayesian Nonparametrics for
Microphone Array Processing”, Proceedings of the IEEE Global SIP, 2014.

4.

M. Nakano, K. Ishiguro, A. Kimura, T. Yamada, and N. Ueda, “Rectangular Tiling
Process”, Proceedings of the 31st International Conference on Machine Learning(ICML), 2014.

5.

K. Takeuchi, R. Tomioka, K. Ishiguro, A. Kimura, and H. Sawada, “Non-negative
Multiple Tensor Factorization”, Proceedings of the 2013 IEEE International Conferenceon Data Mining (ICDM), 2013.

6.

A. Kimura, K. Ishiguro, A. Marcos Alvarez, K. Kataoka, K. Murasaki, and M. Yamada,“Image Context Discovery from Socially Curated Contents”, Proceedings of the 21st
ACM International Conference on Multimedia (ACMMM2013), pp. 565-568, 2013.

7.

K. Takeuchi, K. Ishiguro, A. Kimura and H. Sawada, “Non-negative Multiple MatrixFactorization”, Proceedings of the 2013 International Joint Conference on Artificial
Intelligence (IJCAI-13), 2013.

8.

K. Ishiguro, A. Kimura and K. Takeuchi, “Towards Automatic Image Understanding
and Mining via Social Curation”, Proceedings of the IEEE International Conference on
Data Mining (ICDM12), pp. 906-911, 2012.

9.

H. Sakano, T. Ohashi, A. Kimura, H. Sawada and K. Ishiguro, “Extended Fisher
Criterion based on Auto-correlation Matrix Information”, Proceedings of the 9thInternational Workshop on Statistical Techniques in Pattern Recognition and 14thInternational Workshop on Structural and Syntactic Pattern Recognition (S+SSPR2012),
2012 (accepted as an oral session paper).

10. T. Otsuka, K. Ishiguro, H. Sawada and H. G. Okuno, “Unified Auditory Functions basedon Bayesian Topic Model”, Proceedings of the 2012 IEEE/RSJ International
Conference on Intelligent Robots and Systems (IROS2012), 2012.
11. T. Otsuka, K. Ishiguro, H. Sawada and H. G. Okuno, “Bayesian Unification of Sound
Source Localization and Separation with Permutation Resolution”, Proceedings of the26th AAAI Conference on Artificial Intelligence (AAAI2012), pp. 2038-2045, 2012 (as anoral session paper).
12. K. Duh, T. Hirao, A. Kimura, K. Ishiguro, T. Iwata and C. –M. Au Yueng, “Creating

Stories: Social Curation of Twitter Messages”, Proceedings of the 6th International
AAAI Conference on Weblogs and Social Media (ICWSM2012), 2012.
13. K. Ishiguro, N. Ueda and H. Sawada, “Subset Infinite Relational Models”, Proceedingsof the 15th International Conference on Artificial Intelligence and Statistics(AISTATS2012), pp. 547-555, 2012.
14. T. Fujino, K. Ishiguro and H. Sawada, “Logitboost Extension for Early Classification oSequences”, Lecture Notes in Computer Science: Computer Analysis of Images andPatterns (Proceedings of CAIP2011), Vol. 6854, Part I. pp. 579-588, 2011.
15. T. Matsubayashi and K. Ishiguro, “Mobile Topigraphy: Large-scale tag cloudvisualization for mobiles”, Proceedings of the 20th International World Wide Web
Conference (WWW2011), 2011.
16. K. Ishiguro, T. Iwata, N. Ueda and J. Tenenbaum, “Dynamic Infinite Relational Modelfor Time-varying Relational Data Analysis”, Advances in Neural Information Processing
Systems 23 (Proceedings of NIPS2010), 2010.
17. K. Ishiguro, H. Sawada and H. Sakano, “Multi-Class Boosting for Early Classificationof Sequences”, Proceedings of the 21st British Machine Vision Conference(BMVC2010), pp. 24.1-24.10, 2010.
18. A. Kimura, H. Kameoka, M. Sugiyama, E. Maeda, H. Sakano and K. Ishiguro,“SemiCCA: Efficient Semi-supervised Learning of Canonical Correlations”, Proceedingsof the 20th International Conference on Pattern Recognition (ICPR2010), pp.
2933-2936, 2010.
19. T. Maekawa, Y. Yanagisawa, Y. Kishino, K. Ishiguro, K. Kamei, Y. Sakurai and T.
Okadome, “Object-based Activity Recognition with Heterogeneous Sensors on Wrist”,
Proceedings of the Eighth International Conference on Pervasive Computing(Pervasive 2010), pp. 246-264 2010.
20. K. Ishiguro, T. Yamada, S. Araki and T. Nakatani, “A Probabilistic Speaker Clusteringfor DOA-based Diarization”, Proceedings of the IEEE Workshop on Applications ofSignal Processing to Audio and Acoustics (WASPAA 2009), pp. 241-244, 2009.
21. K. Ishiguro, T. Yamada and N. Ueda, “Simultaneous Clustering and Tracking Unknown
Number of Objects”, Proceedings of the IEEE Computer Society Conference on
Computer Vision and Pattern Recognition (CVPR '08), pp. 1-8, 2008.
22. T. Shiraki, H. Saito, Y. Kamoshida, K. Ishiguro, R. Fukano, T. Shirai, K. Taura, M. Otake,T. Sato and N. Otsu, “Real-Time Motion Recognition Using CHLAC Features andCluster”, Proceedings of IFIP International Conference on Network and Parallel
Computing (NPC 2006), pp. 50-56, 2006.
23. K. Ishiguro, N. Otsu and Y. Kuniyoshi, “Inter-modal Learning and Object ConceptAcquisition”, Proceedings of IAPR Conference on Machine Vision Applications(MVA2005), pp. 148-151, 2005.

REFERRED DOMESTIC (JAPANESE) CONFERENCES:
1.

K. Ishiguro, H. Sawada and H. Sakano, “Multiclass Boosting for Sequence Early
Classification and its Applications”, Proceedings of 13th Meeting on Image Recognition
and Understanding (MIRU10), OS10-2, pp. 1452-1458, 2010 (in Japanese).

2.

K. Ishiguro, T. Yamada and N. Ueda, “Multi-target tracking with multiple dynamicsestimation”, Proceedings of 11th Meeting on Image Recognition and Understanding(MIRU08). pp. 294 -301, 2008 (in Japanese).

3.

Y. Kamoshida, K. Taura, T Shirai, H. Saito, T. Shiraki, K. Ishiguro, R. Fukano, M Otake,
T Sato and N Otsu, “A low-latency parallel real-time motion recognition system utilizing
redundant processors”, Proceedings of Symposium on Advanced Computing Systems
and Infrastructures (SACSIS), IPSJ Symposium Series Vol. 2006, No. 5, pp. 533-540,
2006 (in Japanese)．

OTHER PUBLICATIONS:
1. N. Tominaga, T. Morokuma, M. Tanaka, N. Yasuda, H. Furusawa, M. Morii, S. Ikeda, N.
Ueda, J. Yamato, K. Ishiguro, Y. Nakamura, A. Yamanaka, N. Yoshida, N. Suzuki, J.
Jiang, T. Kato, Y. Taniguchi, T. Shibata, S. Miyazaki, T. J. Moriya, J. Noumaru, K.
Schubert, and T. Takata, “Supernova candidates discovered with Subaru/HyperSuprime-Cam”, The Astronomer’s Telegram, ATel #7927, 2015.
2. K. Ishiguro and K. Takeuchi, “Extracting Essential Structure from Data”, NTT TechnicalReview, Vol. 10, No. 11, 2012.
3. K. Ishiguro, “Complex Data Analysis using Mixture Models”, NTT Technical Review, Vol.
9, No. 1, 2011.

LECTURES AND TUTORIALS:
1. D. Mochihashi, K. Ishiguro, and T. Iwata, “Probabilistic Topic Models”, Public Lecture ofthe Institute of Statistical Mathematics, 2013.
2. D. Mochihashi and K. Ishiguro, “Probabilistic Topic Models”, Public Lecture of theInstitute of Statistical Mathematics, 2013.

INVITED TALKS:
1.

K. Ishiguro and A. Kimura, “A survey of the topic models for statistical patternrecognition researchers”, IEICE Technical Committee Conferences on Pattern

Recognition and Media Understanding, 2015.
2.

K. Ishiguro, “Introduction or Relational Data Clustering”, Graph mining & WEB & AI
seminar, 2014.

3.

K. Ishiguro, “Introduction of Relational Data Modeling by Statistical Machine LearningTechniques”, The 3rd ICT basic research seminars, 2012 (in Japanese).

4.

K. Ishiguro, “Analysis of Nonstationary Time-varying Relational Data”, The 14th
Information-Based Induction Science Workshop (IBIS2011), 2011 (in Japanese).

5.

K. Ishiguro, “Estimating Nonstationary Latent Structure within Time-varying Relational
Data”, The 2nd Latent Dynamics Workshop, 2011 (in Japanese).

PATENTS (Japanese):1.

Patent 5771573, 2015.

2.

Patent 5746086, 2015.

3.

Patent 5684055, 2015.

4.

Patent 5499362, 2014.

5.

Patent 5499361, 2014.

6.

Patent 5462748, 2014.

7.

Patent 5281990, 2013.

8.

Patent 5022387, 2012.

9.

Patent 4972016, 2012.

PROFESSIONAL MEMBERSHIPS & SERVICESMEMBER OF: IEEE
Program Committee: IBIS2014
Journal Reviewer (partially): ACM Transactions on Intelligent Systems and Technology(English), IEICE Transactions (English, Japanese), IPSJ Transactions (English, Japanese).
Conference Reviewer (partially):NIPS, ICML, IJCAI, ICPR, NIPS workshop on Advancesin Approximate Bayesian Inferences, IROS, ACCV. .

ADDITIONAL INFORMATIONLANGUAGES: Japanese (native tongue), English (TOEIC: 935, TOEFL iBT: 95)
PROGRAMING LANGUAGES: Java, Matlab, Python, Perl, C, JavaScript.(in order of theexpertise)
CITIZENSHIP: JapanDATE OF BIRTH: 02 March, 1982

SEX: Male