
Naonori Ueda
Senior Distinguished Scientist / Director, Machine
LearningEData Science Center
PhD
NTT CSLabs.

Biography
Naonori Ueda received the B.S., M.S., and Ph D degrees in Communication
Engineering from Osaka University, Osaka, Japan, in 1982, 1984, and
1992,
respectively. In 1984, he joined the Electrical Communication
Laboratories,
NTT, Japan, where he was engaged in research on image processing,
pattern
recognition, and computer vision. In 1991, he joined the NTT
Communication
Science Laboratories, where he has invented a significant learning
principle
for optimal vector quantizer design and has developed some novel
learning
algorithms including deterministic annealing EM (DAEM) algorithm,
ensemble
learning, the split and merge EM (SMEM) algorithm, semisupervised
learning,
variational Bayesian model search algorithm for mixture models and its
application to speech recognition, and probabilistic generative models
(PMM) for multilabeled text in WWW. His current research interests
include
parametric and nonparametric Bayesian approach to machine learning,
pattern
recognition, data mining, signal processing, and cyberphysical
systems.
From 1993 to 1994, he was a visiting scholar at Purdue University, West
Lafayette, USA. He was a director of NTT Communication Science
Laboratories(April,2010March,2013).
Currently, he is a director of Machine Learning and Data Science
Center.
He was an associate editor of Neurocomputing (20072012) and Journal of
Neural Networks(20032010). He is a subproject leader, Funding Program
for WorldLeading Innovative R&D on Science and Technology (First
Program),
Cabinet Office, Government of Japan, March (20102014). He is a member
of the Infomation Processing Society of Japan(IPSJ), a fellow of the
Institute
of Electronics, Information, and Communication Engineers in
Japan(IEICE),
and a senior member of IEEE.
Awards
 SIGKDD Best Research Paper Award Honorable Mention,
2010
 Best Paper Award, ICONIP (International Conference on Neural
Information Processing), 2009
 Best Paper Award, IPS (Information Processing Society), 2009
 Best Paper Award, Funai Foundation Award, 2007
 Telecommunication Advanced Foundation Award, 2005
 Yamashita SIG Research Award, IPS (Information Processing Society), 2005
 Paper Award, Funai Foundation Award, 2005
 Research Award, JSAI (Japanese Society for Artificial Intelligence), 2005
 Meritorious Award, IEICE (Institute of Electronics, Information, and Communication Engineers), 2004
 Best Paper Award, Funai Foundation Award, 2004
 Best Paper Award, IEICE (Institute of Electronics, Information, and Communication Engineers), 2004
 Research Award, JNNS(Japanese Neural Network Society), 2003
 Best Paper Award, IEICE (Institute of Electronics, Information, and Communication Engineers), 2000
 Telecommunication Advanced Foundation Award, 1997
 Research Award, JNNS (Japanese Neural Network Society), 1995
Professional Activities
 Member of the Education Council, Unit of Design, Center for the Promotion
of Interdisciplinary Education and Research, Kyoto University, June 2013present.
 Offcampus Program Member, Collaborative Graduate Program in Design, Kyoto
University Design School, 2013present
 Reserch Area Adviser, JST Strategic Basic Research Programs, June 2013present.
* Research Area: Advanced Core Technologies for Big Data Integration
* JST:Japan Science and Technology Agency
 Member of the Advisory Council for Science and Technology, MEXT, February 2013present.
 Vice Chair, IEEE Kansai section, January 2013present..
 Member, ISM Steering Committee of the Cooperation with Mathematics Program,
December 2012present.
* ISM: The Institute of Statistical Mathematics
 SubProject Leader, Funding Program for WorldLeading Innovative R&D
on Science and Technology (First Program),
Cabinet Office, Government of Japan, March 2010present.
 Principal Investigator, Scientific Research (C), MEXT, Government of Japan, April 2008March 2011.
* MEXT: Ministry of Education, Culture, Sports, Science and Technology
 Program committee, Technical Committee, MPS, IPS 2006March 2010.
* IPS : Information Processing Society
* MPS: Mathematical Modeling and Problem Solving
 Associate Editor, Neurocomputing Journal, 2004present.
 Associate Editor, Neural Networks Journal, 20032010.
 Parttime Researcher, RIKEN, The Institute of Physical and Chemical
Research, 2003September 2012.
 Visiting Collaborated Research, Hinton Lab., University of
College London, UK, April 1999, August 2000.
 Visiting Collaborated Research, Hinton Lab., University of
Toronto, CANADA, October 1997.
 Visiting Scholar, Purdue University, USA, 19931994.
 Senior Program Committee, ICML, 2007.
* ICML: International Conference on Machine Learning
 General Conference Board, JNNS, 2001.
 Board Member, JNNS, 20002001.
* JNNS:
Japanese Neural Network Society
 General Chair, IBIS, 2003.
 Program Commitee, IBIS Workshop, 2000.
 Fellow, IEICE, 2009
 General Chair, IBIS Technical Group, IEICE, 20032004.
* IBIS: InformationBased Induction Sciences and Machine Learning
 Editor in Chief, IEICE Transactions on Infomation and System (Special Issue on IBIS), 2001.
 Paper Editorial Committee Member, IEICE, 19992002.
 Special Issue, Editorial board, IEICE, 1998, 20022003.
 Paper Review Member, IEICE, 1996present.
 Editorial board, IEICE, 19961998.
* IEICE: The institute of Electronics, Information,and Communication Engineers
 Program Committee (Research), ACM SIGKDD,
2010present.
* ACM: Association
for Computing Machinery
 Paper Review Member, NIPS, 19992002. 2005present
* NIPS: Neural
Information Processing Systems
 Program Committee, IEEE NNSP, 20012002.
* NNSP: Neural Networks for Signal Processing
 Paper Review Member, IEE, 19972000.
* IEE:
The institute of Electrical Engineers
 Commitee Member, AVIRG, 19921993.
* AVIRG: Audio and Visual Information Research Group
Invited Academic Talks
 "Machine Learning for Big Data Analysis current work and future
vision", AY2013 Academic Lecture of Institute of Science and
Engineering, Ritsumeikan University, December 16, 2013.
 "Bayesian Metaearning and its Application to HighLevel Real Nursing
Activity Recognition Using Accelerometers", Forum "MathforIndustry"
2013, November 5, 2013.
 "Basics of Bayesian Modeling in Machine Learning", MLMI 2013,
A MICCAI 2013 Workshop, September 22, 2013.
 "Machine Learning Technology for Creating New Value from Big Data",
Symposium 2013, Graduate School and Faculty of Information Science and
Electrical Engineering, Kyusyu University, May 14, 2013.
 "Statistical Machine Learning Techniques for The Era of Big Data",
IMI Colloquium, Kyusyu University, January 16, 2013.
 "Bayesian Relational Data Analysis", KDD2012, Beijing, August
14, 2012.
 "Statistical Machine Learning Techniques for the Era of Big Data",
MIRU2012, Fukuoka International Congress Center, August 7, 2012.
 "New Developments on Machine Learning Techniques", DCP Business
Seeds Workshop for Digital Information Appliance Industry, Kansai Institute
of Information Systems,July 2012.
 "Statistical Machine Learning Techniques for Big Data analysis",
Toyota Central R&D LABS.,INC., July 2012.
 "The Era of Big Data: New Developments on Information Science",
Osaka University School of Engineering, July 2012.
 "Bayesian Relational Data Analysis", Mext Workshop Cryptographic
Technologies suitable for Cloud Computing, The Institute of Statistical
Mathematics, February 2012.
 "Arrival of the Era of Big Data", IEEE Kansai Section Lecture
Meeting, TKP Honmachi Business Center, Osaka, January 2012.
 "Machine Learning for Pattern Recognition", IBISML Tutorial,
Tokyo University, January 2012.
 "Business Challenges for the 21st Century", Academic Center for
Computing and Media Studies, Kyoto University, November 2011.
 "Introduction to Statistical Machine Learning", NII Karuizawa
Saturday Salon, International Seminar House For Advanced Studies, November 2011.
 "Statistical Machine Learning for Intelligent Computing" IPSJ
SIGMUS, October, 2010.
 "Introduction to Nonparametric Bayesian Models," IPSJ CVIM/IEICE
PRMU, March 2009.
 "Nonparametric Bayesian Learning," NHK Science and Technical
Research Labs, August 2007.
 "Inference Methods for Nonparametric Bayes models, Workshop on Bayesian
Inference," (The Institute of Statistical Mathematics), August. 2007.
 "Multimedia Signal Processing," Osaka University, May 2007.
 "Nonparametric Bayesian Theory and its Application to Data
Mining," SIGDMSM, July 2006.
 "Mathematical MOodeling for Multiple Topics," Information
ProcessingSociety of Japan (IPSJ), Yamashita SIG Award Memorial
Lecture, March 2006
 "Ensemble Learning," IEICE PRMU, September 2004.
 "New Development of Text Modeling," NLP, March 2003.
 "Variational Bayes/Parametric Mixture Models," ATR Spoken
Language Translation Research Laboratories, July 2002.
 "Ensemble Learning," The Institute of Systems, Control, and
Information Engineers, May 2002.
 "New Development of the EM Algorithm. Variational Bayes ,"
Meeting of Technical Group on Neural Computation, IEICE, January 2002.
 "Theory and Applications of Variatiaonal Bayes," The Institute
of Statistical Mathematics, February 2001.
 "New Development of the EM Algorithm," Japanese Society of
Computational Statistics, October 2000.
 "The Front of Statistical Learning Theory," Kyoto University,
April 2000.
 "Optimal Model Search based on Bayesian Approach," Biometric
Analysis Dept., SHIONOGI & CO., LTD, March 2000.
 "Latent Variable Models and Probabilistic Dimensionality
Reduction," The Institute of Statistical Mathematics, September 1998.
 "A Feature Extraction Method Based on Latent Variable Models,"
Meeting of Technical Group on Pattern Recognition and Media
Understanding, IEICE, June 1998.
 "Probabilistic Neural Networks Based on Latent Variable Models,"
Yukawa Institute for Theoretical Physics, Kyoto University, January
1998.
 "Mathematical Morphology," Meeting of Technical Group on
Precision Engineering, August 1996.
 "EM Algorithm," Bioinfomatics Research Meeting, October 1995.
 "Deterministic Annealing EM Algorithm," ATR Interpreting
Telecommunications Research Laboratories, May 1995.
 "Deterministic Annealing EM Algorithm," GA Research Meeting,
April 1995.
 "Ensemble Learning," Osaka University, January 1995.
Career
 Parttime Lecturer, (Graduate School of Informatics, Kyoto
University, Bayesian Learning & Data Mining), 2010
 Parttime Lecturer, (Yamagata University, Advanced machine
learning), 2010
 Parttime Lecturer, (Tokyo University, Bayesian Learning Theory),
2007
 Guest Professor, (Nara Advanced Institute of Science and
Technology (NAIST), 20042013.
 Guest Associate Professor, (Nara Advanced Institute of Science
and Technology (NAIST), 19982004
 Parttime Lecturer, (Osaka University), 20032011.
 Parttime Lecturer, (Kyoto University, Pattern Recognition and
Bayesian Learning), 2003present.
 Parttime Lecturer, (Waseda University, Statistical Learning
Theory), 2003.
 Parttime Lecturer, (Okayama University, Statistical Pattern
Recognition), 1999.
 Parttime Lecturer, (Nagoya Institute of Technology, Electrical
and Computer Enginnering), 2002.
 Parttime Lecturer, (Tsukuba University, Statistical Learning
Theory), 19992002.
Publications
Refered Journal Papers
 Sun, X., Kashima, H. and Ueda, N., "LargeScale Personalized
Human Activity Recognition using Online MultiTask Learning" IEEE
Transactions on Knowledge and Data Engineering (TKDE), (accepted 2012).
 Iwata, T., Yamada, T., SakuraI, Y. and Ueda, N., "Sequential
Modeling of Topics Dynamics with Multiple Timiscales ", ACM
Transactions on Knowledge Discovery from Data (TKDD), Volume 5 Issue 4,
19:119:27, 2012.
 Fujino, A., Ueda, N. and Nagata, M., "Robust semisupervised
learning for data selection bias", Transaction of Information
Processing Society of Japan, Vo.4, No.2, pp. 3142, 2011 (in Japanese).
 Hachiya, H., Sugiyama, M. and Ueda, N., "Importanceweighted
leastsquares probabilistic classifier for covariate shift adaptation
with application to human activity recognition", Neurocomputing,
(accepted).
 Iwata, T., Tanaka, T., Yamada, T. and Ueda, N., " @Improving
Classifier Performance Using Data with Different Taxonomies", @IEEE
Transactions on Knowledge and Data Engineering (TKDE), Vol.23, No.11,
16681677, 2011.
 Fujino, A., Ueda, N. and Nagata, M., "Robust Semisupervised
Learning for Labeled Data Selection Bias", Transaction of Information
Processing Society of Japan, Vol.2010MPS80 No.8, 2010, (in Japanese).
 Fujino, A., Ueda, N. and Nagata, M., "Robust semisupervised
learning for data selection bias", Transaction of Information
Processing Society of Japan, Vol.2010MPS80 No.8, 2010, (in Japanese).
 Ishiguro, K., Iwata, T., and Ueda, N.,"Dynamic Infinite
Relational Model for Timevarying Relational Data Analysis",
Transaction of Information Processing Society of Japan, Vol.3, No.1,
112, 2010, (in Japanese).
 Iwata, T., Watanabe, S., Yamada, T., and Ueda, N., "Topic
Tracking Model for Purchase Behavior Analysis", Transactions of IEICEJ,
Vol.J93D, No.6, pp.978987, 2010, (in Japanese).
 Iwata, T., Tanaka, T., Yamada, T., and Ueda, N. , " Improving Classifier Performance using Data with
Different Taxonomies", IEEE Transactions on Knowledge and Data
Engineering (TKDE), to appear.[IEEE Xplore] [DOI link] [IEEE Copyright Notice],
2010.
 Iwata, T., Tanaka, T., Yamada, T., and Ueda, N., "Model Learning
when Distributions Differ over Time", Transactions of IEICEJ,
Vol.J92D, No.3, 361370, 2009, (in Japanese).
 Iwata, T., Yamada, T., and Ueda, N., "Visualizing Documents based
on Topic Models",Journal of Information Processing Society of Japan,
Vol.50, No.6,16491659, 2009, (in Japanese).
 Kawamae, N., Sakano, H., Yamada, T., and Ueda, N.,"Collaborative filtering focusing on the dynamics and
precedence of user preference",Transactions of IEICEJ, (DII), Vol.
J92DII, No.6, pp. 767776, 2009, (in Japanese).
 Fujino, A., Ueda, N., and Saito, K., " Semisupervised learning for a hybrid
generative/discriminative classifier based on the maximum entropy
principle", IEEE Transactions on Pattern Analysis and Machine
Intelligence (TPAMI), 30(3), 424437,2008. [IEEE Xplore] [DOI link] [IEEE Copyright Notice]
 Ueda, N., Yamada, T., and Kuwata, S., "Coclustering Discrete
Data Based on the Dirichlet Process Mixture Model", Transaction of
Information Processing Society of Japan, Vol.1 No.1 (pp. 6073), 2008, [Transaction
of Information Processing Society of Japan],(in Japanese).
 Iwata, T., Yamada, T., and Ueda, N., "Collaborative filtering efficiently using purchase
orders", Transaction of Information Processing Society of Japan,
Vo.49, No.SIG4 (TOM20), pp. 125134, 2008, (in Japanese).
 Naud, A., Usui, S., Ueda, N., and Taniguchi. T., "Visualization of documents and concepts in
Neuroinformatics with the 3DSE Viewer", Neuroinformatics, 2007.
 Kuwata, S., and Ueda, N., "Oneshot Collaborative Filtering",
Transaction of Information Processing Society of Japan, Vol.48,
No.SIG_15(TOM_18), pp. 153162, 2007, [Transaction of Information Processing Society of Japan],
(in Japanese).
 Kawamae, N., Yamada, T., and Ueda, N., "Personalized Ranking by Identifying, RelativeInnovators",
FIT2007 Letters, Vol.6, pp.99102, 2007.
 Kuwata, S., and Ueda, N., "An efficient collaborative filtering
algorithm based on marginal rating distributions",International Journal
of IT & IC, IEEE CIS, Vol.2, No.1, 2007.
 Fujino, A., Ueda, N., and Saito, K., "Semisupervised Learning of
Multiclass Classifiers for Multicomponent Data", Transaction of
Information Processing Society of Japan, Vol.48, No.SIG_15(TOM_18), pp.
163175, 2007, [Transactions of IPSJ.], (in Japanese)
 Fujino, A., Ueda, N., and Saito, K., "A hybrid generative/discriminative approach to text
classification with additional information", Information Processing
& Management, Elisevier, Vol.43, pp. 379392, 2007.
 Usui, S., Plames, P., Nagata, K., Taniguchi, T., and Ueda, N.,
"Keyword extraction, ranking, and organization for the neuroinfomatics
platform", Biosystems, Elsevier Science, Vol.88, Issue 3, pp. 334342,
2007, [Biosystems].
 Iwata, T., Saito, K., Ueda, N., Stromsten, S., Griffiths, T., and
Tenenbaum, J., "Parametric
Embedding for Class Visualization", Neural Computation Vol. 19, No.
9, pp. 25362556: 25362556, 2007.
 Kawamae, N., Yamada, T., and Ueda, N., "Personalized Ranking by
Identifying, RelativeInnovators", FIT2007 Letters, Vol.6, pp.99102,
2007.
 Ueda, N. and Yamada, T., "Nonparametric Bayes", Journal of
Japanese Applied Mathematics Vol.17, No.3, pp.196214, 2007.
 Fujino A., Ueda, N., and Saito, K., "Text Classification by
Effectively Using Additional Information Based on Maximum Entropy
Principle(Information Retrieval)", Transaction of Information
Processing Society of Japan, Vol.47, No.10, pp. 29292937, 2006, [ Transactions of IPSJ.], (in Japanese).
 Fujino, A., Ueda, N., and Saito, K., "A hybrid generative/discriminative classifier design
for semisupervised learning", Journal of JSAICVol.21, No.3,
pp.301309, 2006, (in Japanese).
 Kimura, M., Saito, K., and Ueda, N., "Modeling network growth
with directional attachment and communities", Systems and Computers in
Japan, Vol. 35, No. 8, pp. 111, 2004, [Systems and Computers in Japan].

Ueda, N. and Saito, K., "Parametric mixture models for
multitopic text," Systems and Computers in Japan, Vol.37, No.2, pp.
5666, 2006, [Systems and Computers in Japan]
 Ueda, N., "Ensemble Learning," Transactions of IPSJ, CVIM1036,
(invited) Vol.46, No.SIG15(CVIM 12), pp. 1120, 2005, [Transaction of Information Processing Society of Japan],
(in Japanese)
 Iwata, T., Saito, K., Ueda, N., Stromsten, S., Griffiths, T., and
Tenenbaum, J., "Parametric Embedding for Class Visualization ",
Neural Computation, vol.46,no.9, pp. 23372346, 2005, (in Japanese).
 Fujino, A., Ueda, N., and Saito, K., "Semisupervised learning on hybrid
generative/discriminative models", FIT2005 Letters, 2005, (in
Japanese).
 Iwata, T., Saito, K., and Ueda, N., "Visualization via posterior preserving embedding
",FIT2004 Letters, Vol. 3, pp. 119120, 2004, (in Japanese).
 Kaneda, Y., Saito, K., and Ueda, N., "Automatic extraction of
correspondences between document taxonomies", FIT2004 Letters, Vol. 3,
pp.121122, 2004, (in Japanese).
 Kaneda, Y. and Ueda, N., "A Robust text data clustering method
for highdimensional data", FIT2004 Letters, Vol. 3, pp. 123124, 2004,
(in Japanese).
 Fujino, A., Ueda, N., and Saito, K., "Relevance feedback with
cross validation", FIT2004, Vol. 3, pp. 5354, 2004, (in Japanese).
 Kimura, M., Saito, K., and Ueda, N., "Modeling share dynamics by extracting competition
structure", Physica D, Vol.198, pp. 5173, 2004.
 Watanabe, S., Minami, Y., Nakamura, A., and Ueda, N., "Variational Bayesian Estimation and Clustering for
Speech Recognition", IEEE transaction on Speech and Audio
Processing, Vol. 12, pp. 365381, 2004.
 Ueda, N., and Inoue, M., "Extended TiedMixture HMMs for Both
Labeled and Unlabeled Time Series Data", Journal of VLSI Signal
Processing, pp. 189197, 2004.
 Kimura, M., Saito, K., and Ueda, N., "Modeling of growing networks with directional
attachment and communities", Neural Networks, Vol. 17, No. 7, pp.
975988, 2004.
 Ueda, N., and Saito, K., " Parametric Mixture Models for
MultiTopic Text", Transactions of IEICEJ, (DII), Vol. J87DII, No.3,
pp. 872883, 2004, (in Japanese)
 Ueda, N. and Inoue, M., "Extended tiedmixture HMMs for both
labeled and unlabeled time series data", to appear Journal of VLSI
Signal Processing Systems,Vol. 37, pp. 189197, 2004.
 Kimura, M., Saito, K., and Ueda, N., "Modeling of growing
networks with directional attachment and communities", Transactions of
IEICEJ, Vol. J86DII, No, 10, pp. 14681479, 2003, (in Japanese).
 Ueda, N. and Saito, K., "Multi  topic Text Model for Topic 
based Text Retrieval", Transaction of Information Processing Society of
Japan Vol. 44, No. SIG14(TOM9), pp. 18, 2003,[Transaction of Information Processing Society of Japan]
(in Japanese).
 Yamada, T., Saito, K., and Ueda, N., "Embedding networks data
based on crossentropy minimization", Transaction of Information
Processing Society of Japan Vol. 44, No. 9, pp. 24012408, 2003, [Transaction of Information Processing Society of Japan]
(in Japanese).
 Inoue, M. and Ueda, N., "Exploitation of unlabeled sequences in hidden markov
models", IEEE Transaction on Pattern Analysis and Machine
Intelligence (PAMI), Vol. 25, No. 12, pp15701581, 2003.
 Watanabe, S., Minami, Y., Nakamura, A., and Ueda, N., "Selection
of SharedStates Hidden Markov Model Structure Using Bayesian
Criterion,", Transactions of IEICEJ, Vol. J86DII, No. 6, pp. 776786,
2003, (in Japanese).
 Ueda, N. and Ghahramani, Z., "Bayesian model search for mixture
models based on optimizing variational bounds", Neural Networks,
Vol.15, pp. 12231241, 2002.
 Inoue, M. and Ueda, N., "Use of Unlabeled Time Series Data in
Hidden Markov Models", Transactions of IEICEJ, Vol. J86DII, No. 2, pp.
173183, 2003 (in Japanese).
 Ueda, N., " Variational Bayesian Learning for Optimal Model Search",
Journal of Japanese Society for Artificial Intelligence, Vol.16, No.2,
2001, (in Japanese).
 Suzuki, S. and Ueda, N., "Adaptive clustering method using
modular learning architecture", Transactions of IEICEJ, Vol. J83_DII,
No. 6, pp. 15291538, 2000, (in Japanese).
 Ueda, N., "EM algorithm with split and merge operations for
mixture models (invited)", Transactions of IEICE, Vol. E83D, No. 12,
pp. 20472055, 2000.
 Suzuki, S., and Ueda, N., "Adaptive clustering method using
modular learning architecture", Transactions of IEICEJ, Vol. J83_DII,
No. 6, pp. 15291538, 2000, (in Japanese).
 Ueda, N., Nakano, R., Ghahramani, Z., and Hinton, G. E., "SMEM
Algorithm for Mixture Models", Neural Computation, Vol. 12, No. 9, pp.
21092128, 2000.
 Ueda, N., Nakano, R., Ghahramani, Z., and Hinton, G. E..,"Split
and merge EM algorithm for improving Gaussian mixture density estimates
(invited)", Journal of VLSI Signal Processing, Vol. 26, pp. 133140,
2000.
 Ueda, N., "Optimal Linear Combination of Neural Networks for
Improving Classification Performance", IEEE Transactions on Pattern
Analysis and Machine Intelligence (PAMI). Vol. 22, No.2, pp. 207215,
2000.
 Ueda, N. and Nakano, R., "Probabilistic Mixture Subspace Method",
Transactions of IEICE, Transactions of IEICEJ, Vol. J82DII, No. 12,
pp. 23942401, 1999, (in Japanese).
 Ueda, N. and Nakano, R., "EM Algorithm with Split and Merge
Operations for Mixture Models", Transactions of IEICE, Transactions of
IEICEJ, Vol. J82DII, No. 5, pp. 930940, 1999, (in Japanese).
 Ueda, N., "Optimum Linear Combination of Neural Network
Classifiers Based on the Minimum Classification Error Criterion",
Transactions of IEICEJ, Vol. J82_DII, No. 3, pp. 522530, 1999, (in
Japanese).
 Ueda, N. and Nakano, R., "Deterministic Annealing EM Algorithm",
Neural Networks, Vol. 11, No. 2, pp. 271282, (1998).
 Ueda, N. and Nakano, R., "Analysis of Generalization Error on
Ensemble Learning", Transactions of IEICEJ, Vol. J80DII, No. 9, pp.
25122521, 1997, (in Japanese).
 Ueda, N. and Nakano, R., "Deteministic Anneling EM Algorithm",
Transactions of IEICEJ, Vol. J80DII, No. 1, pp. 267276, 1997, (in
Japanese).
 Ueda, N. and Mase, K., "Tracking Moving Contours Using
Energyminimizing Elastic Contour Models", International Journal of
Pattern Recognition and Artificial Intelligence, Vol. 9, No. 3, pp.
465484, 1995.
 Ueda, N. and Nakano, R., "A New Competitive Learning Approach
Based on an Equidistortion Principle for Designing Optimal Vector
Quantizers", Neural Networks, Vol.7, No.8, pp. 12111227, 1994.
 Ueda, N. and Nakano, R., "Competitive and Selective Learning
method for Vector Quantizer Design  Equidistortion Principle and Its
Algorithm ", Transactions of IEICEJ, Vol. J77DII, No. 11, pp.
22652278, 1994, (in Japanese).
 Ueda, N. and Suzuki, S., "Learning Visual Models from Shape
Contours Using Multiscale Convex/Concave Structure Matching", IEEE
Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol.
15, No. 4, pp. 337352, 1993, [ IEEE Transactions on Pattern Analysis and Machine
Intelligence (PAMI).
 Suzuki, S., Ueda, N. and Sklansky, J., "GraphBased Thinning for
Binary Images", International Journal of Pattern Recognition and
Artificial Intelligence, Vol. 7, No. 5 pp. 10091030, 1993.
 Ueda, N., Mase K., and Suenaga Y., "A Contour Tracking Method
Using Elastic Contour Model and Energy Minimization Approach",
Transactions of IEICEJ, Vol. J75DII, No. 1, pp. 111120, 1992, (in
Japanese).
 Ueda, N. and Suzuki, S., "Automatic Shape Model Acquisition Based
on A Generalization of Convex/Concave Structure", Transactions of
IEICEJ, Vol. J74DII, No. 2, pp. 220229, 1991, (in Japanese).
 Ueda, N. and Suzuki, S., "A Deformed LineDrawing Matching
Algorithm Using Multiscale Convex/Concave Structures", Transactions of
IEICEJ, Vol. J73DII, No. 7, pp. 9921000, 1990, (in Japanese).
 Ueda, N., Nagura, M., Kosugi, M., and Mori, K., "Image Enhancemen
Method for Law Quality Drawings", Transactions of the Institute of
Television Engineers of Japan, Vol. 42, No. 8, pp. 831836, 1988, (in
Japanese).
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Refered International Conference Papers
 Ishiguro, K., Ueda, N. and Sawada, H., "Subset Infinite
Relational Models", AISTATS 2012, Society for AI and Statistics, 2012.
 Sawada, H., Kameoka, H., Araki, S. and Ueda, N., "Efficient
Algorithms for Multichannel Extensions of ItakuraSaito Nonnegative
Matrix Factorization", IEEE International Conference on Acoustics,
Speech, and Signal Processing (ICASSP 2012), pp. 261264, 2012.
 Sun, X., Kashima, H., Tomioka, R. and Ueda, N., "Large Scale
Reallife Action Recognition Using Conditional Random Fields with
Stochastic Training", PacificAsia Conference on Knowledge Discovery
and Data Mining (PAKDD), 2011.
 Sun, X., Kashima, H., Tomioka, R. and Ueda, N., "Online
MultiTask Learning for Personalized Continuous Activity Recognitionh,
IEEE ICDM 2011.
 Sawada, H., Kameoka, H., Araki, S. and Ueda, N., "New
Formulations and Efficient Algorithms for Multichannel NMF h, WASPAA
2011, IEEE Signal Processing Society.
 Aoyama, K., Sawada, H., Ueda, N. and Saito, K., "Fast approximate
similarity seach based in degreereduced neighborhood graphs",
ACM@SIGKDD 2011.
 Sawada, H., Kameoka, H., Araki, S. and Ueda, N., "Formulations
and Algorithms for Multichannel Complex NMF", IEEE International
Conference on Acoustics, Speech, and Signal Processing (ICASSP 2011) ,
pp. 229232, May, 2011.
 Sun, X., Kashima, H., Tomioka, R. and Ueda, N.,"Large Scale
Reallife Action Recognition Using Conditional Random Fields with
Stochastic Training", PacificAsia Conference on Knowledge Discovery
and Data Mining (PAKDD), Shenzeng, China, 2011. (accepted)
 Sun, X., Kashima, H., Matsuzaki, T. and Ueda, N., "A Robust,
Accurate, and Fast Stochastic Gradient Training Method for Modeling
LatentInformation in Data", IEEE International Conference on Data
Mining (ICDM2010), pp.10671072, Sydney, Australia, 2010.
 Hachiya, H., Sugiyama, M. and Ueda, N., " Coping with new user problems: Transfer learning in
accelerometerbased human activity recognition ", NIPS 2010
Workshop on Transfer Learning by Learning Rich Generative Models, 2010.
 Fujino, A., Ueda, N. and Nagata, M., "A Robust Semisupervised
Classification Method for Transfer Learning ", ACM Conference on
Information and Knowledge Management (CIKM2010), 2010.
 Ishiguro, K., Iwata, T., Ueda, N. and Tenenbaum, J. B., " Dynamic Infinite Relational Model for Timevarying
Relational Data Analysis ", Advances in Neural Information
Processing Systems 23 (NIPS2010), 2010.
 Aoyama, K., Watanabe, S., Sawada, H., Minami, Y., Ueda, N. and
Saito, K.,"Fast Similarity Search On A Large Speech Data Set With
Neighborhood Graph Indexing ", International Conference on
Acoustics, Speech, and Signal Processing(ICASSP2010), pp. 53585361,
2010.
 Usui, S., Kamiji, N. L., Taniguchi, T. and Ueda N., "RAST: A
Related Abstract Search Tool", International Conference on Neural
Information Processing (ICONIP2009), 2009.
 Iwata, T., Yamada, T. and Ueda, N., "Modeling Social Annotation Data with Content Relevance
using a Topic Model ", Advances in Neural Information Processing
Systems (NIPS2009), 835843, 2009
 Iwata, T., Watanabe, S., Yamada, T. and Ueda, N., "Topic Tracking Model for Analyzing Consumer Purchase
Behavior ", Proc. of 21st International Joint Conference on
Artificial Intelligence (IJCAI09), 14271432, 2009
 Iwata, T., Yamada, T. and Ueda, N., "Probabilistic Latent Semantic Visualization: Topic
Model for Visualizing Documents", Proc. of 14th ACM SIGKDD
International Conference on Knowledge Discovery and Data Minig
(KDD2008), pp.363371, 2008.
 Ishiguro, K., Yamada, T. and Ueda, N., "Simultaneous Clustering
and Tracking Unknown Number of Objects", Proc. of the 19th IEEE
Computer Society Conference on Computer Vision and Pattern Recognition
(CVPR08), pp. 18, 2008, [CVPR08]
 Usui, S., Naud, A., Ueda, N. and Taniguchi, T., "3DSE Viewer: A
Text Mining Tool based on Bipartite Graph Visualization", 20th
International Joint Conference on Neural Networks (IJCNN'07),
2007.
 Kuwata, S. and Ueda, N., "Oneshot Collaborative Filtering", IEEE CIDM2007,
Vol.1, No.1, pp.300307, 2007.
 Fujino, A., Ueda, N. and Saito, K., "Semisupervized learning for
multicomponent data classification", to appear in Proc. of
International Joint Conference on Areificial Intelligence (IJCAI2007), 2007.
 Kuwata, S. and Ueda N., "Oneshot collaborative filtering", to
appear in Pro. of IEEE Symposium on Compututational Intelligence and
Data Mining (CIDM2007), 2007.
 Kemp, C., Tenenbaum, J. B., Griffiths, T. L., Yamada, T. and
Ueda, N., "Learning systems of concepts with an infinite
relational model", Proc. of the 21st National Conference on
Artificial Intelligence(AAAI06), 2006
 Iwata, T., Saito, K. and Ueda, N., "Visual nonlinear discriminant analysis for classifier
design", Proc. of the 14th European Symposium on Artificial Neural
Networks (ESANN2006), pp.283288, 2006.
 Usui, S., Palmes P., Nagata, K., Taniguchi, T. and Ueda, N.,
"Extracting keywords from research abstracts for the neuroinformatics
platform index tree", To appear in Proc. of International Joint
Conference on Neural Networks (IJCNN2006), 2006.
 Ueda, N., "Bayesian probabilistic models for data partitioning
and their applications", Proc. of the 17th International Symposium on
Mathematical Theory of Networks and Systems (MTNS2006), 2006.
 Saito, K. and Ueda, N., "Filtering Search Engine Spam based on
Anomaly Detection Approach", Proc. of the KDD2005 Workshop on Data
Mining Methods for Anomaly Detection, pp.6267, 2005.
 Usui, S., Palmes, P., Nagata, K., Taniguchi, T. and Ueda, N.,
"Relevance keyword extraction, ranking, and organization for the
neuroinformatics platform, Proc. of International Conference on
Biological Computation," Proc. of BIOCOMP, 2005.
 Fujino, A., Ueda, N. and Saito, K., "A Classifier design based on
combining multiple components by maximum entropy principle," Proc. of
the 2nd Asia Information Retrieval Symposium (AIRS2005),
2005.
 Kimura, M., Saito, K. and Ueda, N., "Multinomial PCA for
extracting major latent topics from document streams," Proc. of IJCNN,
2005.
 Fujino, A., Ueda, N. and Saito, K., "A hybrid
generative/discriminative approach to semisupervised classifier
design," Proc. of the 20th National Conference on Artificial
Intelligence (AAAI05), pp. 764769, 2005.
 Inoue, M. and Ueda, N., "Retrieving lightly annotated images
using image similarities," ACM Symposium on Applied Computing (SAC),
Special Track on Information Access and Retrieval (IAR)Santa Fe, March
1417, pp.10311037, 2005.
 Iwata, T., Saito, K., Ueda, N., Stromsten, S., Griffiths, T. L.
and Tenenbaum, J. B., "Parametric Embedding for Class Visualization, "
Advances in Neural Information Processing Systems 17 (NIPS2004), pp.
617624, 2005.
 Kimura, M., K. Saito and N. Ueda, "Modeling share dynamics by
extracting competition structure," Proc. of the 5th International
Conference on Complex Systems, p. 72, 2004.
 Kaneda, Y., Ueda, N. and Saito, K., "Extended Parametric Mixture
Model for Robust Multilabeled Text Categorization," Proc. of the 8th
International Conference on KnowledgeBased Intelligent Information
& Engineering Systems, Vol. 3214 of Lecture Notes in Computer
Science, pp. 616623, 2004.
 Ueda, N. and Saito, K., "Simplex mixture models for multitopic
text," In Science of Modeling, ISM Report on Research and Education
No.17, The Institute of Statisitical Mathematics, pp. 380381, 2003.
 Kimura, M., Saito, K. and Ueda, N., "Modeling share dynamics by
extracting competition structure," In Science of Modeling, ISM Report
on Research and Education No.17, The Institute of Statisitical
Mathematics, pp.366367, 2003.
 Yamada, T., Saito, K. and Ueda, N., "Crossentropy based
embedding for relational data," International Conference on Machine
Learning (ICML2003), pp. 832839, 2003.
 Watanabe, S., Minami, Y., Nakamura, A. and N. Ueda, "Bayesian
acoustic modeling for spontaneous speech recognition," IEEE Workshop on
Spontaneous Speech Processing and Recognition (SSPR03), pp. 4750, 2003.
 Watanabe, S., Minami, Y., Nakamura, A. and Ueda, N., "Application
of variational bayesian estimation and clustering to acoustic model
adaptation," IEEE International Conference on Acoustic, Speech, and
Signal Processing (ICASSP03), Vol. 1, pp. 568571, 2003.
 Kimura, M., Saito, K. and Ueda, N., "Modeling of growing networks
with directional attachment and communities," European Symposium on
Artificial Neural Networks (ESANN03), pp. 1520, 2003.
 Kimura, M., Saito, K. and Ueda, N., "Modeling of growing networks
with communities," IEEE International Workshop on Neural Networks for
Signal Processing (NNSP2002), pp. 189198, 2002.
 Watanabe, S., Minami, Y., Nakamura, A. and Ueda, N., "An
application of variational Bayesian approach to speech recognition," to
appear Advances in Neural Information Processing Systems 15(NIPS15),
MIT Press, pp. 12611268, 2002.
 Watanabe, S., Minami, Y., Nakamura, A. and Ueda, N.,
"Constructing sharedstate HMMs based on a Bayesian approach,"
International Conference on Spoken Language Processing (ICSLP02), Vol.
4, pp. 26692672, 2002.
 Ueda, N. and Saito, K., "Parametric mixture models for
multitopic text," Neural Information Processing Systems 15(NIPS15),
MIT Press, pp. 737744, 2002.
 Ueda, N. and Saito, K., "Singleshot detection of multicategory
text using parametric mixture models," ACM SIG Knowledge Discovery and
Data Mining (SIGKDD2002), pp. 626631, 2002.
 Inoue, M. and Ueda, N., " HMMs for both labeled and unlabed time
series data," IEEE Neural Networks for Signal Processing (NNSP2001),
pp. 93102, 2001.
 Ueda, N. and Ghahramani, Z., "Optimal model inference for Baysian
mixture of experts," IEEE Neural Networks for Signal Processing
(NNSP2000), pp. 145154, 2000.
 Ueda, N., Nakano, R., Ghahramani, Z. and Hinton, G. E., "Pattern
classification using a mixture of factor analyzers," IEEE Neural
Networks for Signal Processing (NNSP99), pp. 525533, 1999.
 Ueda, N., Nakano, R., Ghahramani, Z. and Hinton, G. E., "SMEM algorithm for mixture models," Neural
Information Processing Systems 11 (NIPS11), pp. 599605, 1999.
 Ueda, N., Nakano, R., Ghahramani, Z. and Hinton, G. E., "Split
and merge EM algorithm for improving Gaussian mixture density
estimates," IEEE Neural Networks for Signal Processing (NNSP98), pp.
274283, 1998.
 Ueda, N. and Nakano, R., "Combining discriminantbased
classifiers using the minimum classification error discrimininant,"IEEE
Neural Networks for Signal Processing (NNSP97), pp. 365374, 1997.
 Suzuki, S. and Ueda, N., "Selforganization of feature columns
and its application to object classification," Proceedings of
International Conference on Neural Information Processing (ICONIP97),
pp. 11661169, 1997.
 Ueda, N. and Nakano, R, "Generalization error of ensemble
estimators," Proceedings of International Conference on Neural Networks
(ICNN96), pp. 9095, 1996.
 Ueda, N. and Nakano, R, "Deterministic annealing variant of the EM algorithm,"
Neural Information Processing Systems 7 (NIPS7), MIT Press, Cambridge
MA, pp. 545552, 1995.
 Ueda, N. and Nakano, R, "A new maximum likelihood training and
application to probabilistic neural networks," Proceedings of
International Conference on Artificial Neural Networks (ICANN95), pp.
497504, 1995.
 Ueda, N. and Nakano, R, "Estimating expected error rates of
neural network classifiers in small sample size situations: A
comparison of crossvalidation and bootstrap," International Conference
on Neural Networks (ICNN95), pp. 101104, 1995.
 Ueda, N. and Nakano, R, "Mixture density estimation via EM
algorithm with deterministic annealing," Proceedings of IEEE Neural
Networks for Signal Processing (NNSP94), pp. 6977, 1994.
 Ueda, N. and Nakano, R, "A new learning approach based on
equidistortion principle for optimal vector quantizer Design,"
Proceedings of IEEE Neural Networks for Signal Processing (NNSP93), pp.
362371, 1993.
 Ueda, N. and Nakano, R, "Competitive and selective learning
method for designing optimal vector quantizers," Proceedings of IEEE
International Conference on Neural Networks (ICNN93), pp. 14441450,
1993.
 Ueda, N. and Mase, K., "Tracking moving contours using
energyminimizing elastic contour models,"Proceedings of European
Conference on Computer Vision (ECCV92), pp. 453457, 1992.
 Suzuki, S. and Ueda, N., "Robust vectorization using graphbased
thnning and reliabilitybased line approximation," Proceedings of IEEE
Conference on Computer Vision (CVPR91), pp. 494500, 1991.
 Ueda, N. and Suzuki, S., "Automatic shape model acquisition using
multiscale segment matching," Proceedings of International Conference
on Pattern Recognition (ICPR90), pp. 897902, 1990.
 Ogawa, H. Kawada, E. and Ueda, N., "Application of image
processing equipment with multiprocessors to linedrawing recognition,"
Proceedings of SPIE845, pp. 97103, 1987.
 Okudaira, M. Ueda, N. and Aoki, U., "Image enhancement of
handwritten drawings and their recognition followed by interactive
processing," Proceedings of SPIE707, pp. 4250, 1986.
Invited Paper
 Fujino, A., Ueda, N. and Nagata, M., "Adaptive Semisupervised
Leaning in Labeled Data from and Unlabeled@Data from Different
Distributions ", Knowledge and Information Systems, Springer , 2011.
 Ueda, N., Nakano, R., "Competitive and selective learning method
for vector quantizer design Equidistortion principle and its
algorithm," Systems and computers in Japan, Scripta Technica, Inc.,
Vol. 26, No. 9, pp. 3449, 1995.
 Ueda, N., Mase, K. and Suenaga, Y., "A contour tracking method
using elastic contour model and energy minimizing approach," Systems
and computers in Japan, Scripta Technica, Inc., Vol. 24, No. 8, pp.
5970, 1993.
 Ueda, N. and Suzuki, S., "Automatic shape model acquisition based
on a generalization of convex/concave structure," Systems and computers
in Japan, Scripta Technica, Inc. Vol. 23, No. 1, pp. 89100, 1992.
 Ueda, N. and Suzuki, S., "A matching algorithm of deformed planar
curves using multiscale convex/concave structures," Systems and
computers in Japan, Scripta Technica, Inc. Vol. 22, No. 5, pp. 94104,
1991.
Invited Tutorial Papers
 Ueda, N., "EM algorithm," Society of Instrument and Control
Engineers(SICE), Vol.44, No.5, pp.333338, 2005. (In Japanese)
 Ueda, N., "The goal of Web science research," OHM, Vol.91,
No.10,pp.67, 2004.(In Japanese)
 Ueda, N., "Bayesian Inference Algorithms Approximation Methods
for HighDimensional Integrals," Journal of the Japanese Society for
Artificial Intelligence, Vol. 19, No. 6, 2004 (in Japanese).
 Ueda, N. and Saito, K., "Probablistic Models for Multitopic
Text," Information Processing Society of Japan, Vol. 45, No. 2, 3, 2004
(in Japanese).
 Ueda, N., "Probablistic Models and Statistical Learning,"
Computer Today, No.114, 2003.
 Ueda, N., "Bayeaian Learning I  IV," Journal of IEICEJ, Vol. 85,
No. 4, 6, 7, 8, 2002 (in Japanse).
 Ueda, N., "Ensemble Learning," Journal of the Society of
Instrument and Control Engineers, Vol. 41, pp. 248, 2002.
 Ueda, N., "The Front of Bayesian Learning Variational Bayesian
Learning, " Information Processing Society of Japan, Vol. 42, No. 1,
2001 (in Japanese).
 Ueda, N., "An Inquiry into Statistical Learning Research,"
Information Processing Society of Japan,, Vol. 41, No. 6, pp. 730733,
2000 (in Japanese).
 Ueda, N. and Nakano, R., "Deterministic Annealing EM Algorithm,"
Journal of the Society of Instrument and Control Engineers, Vol. 38,
No. 7, pp. 444449, 1999 (in Japanse).
 Ueda, N. and Nakano, R., "Deterministic Annealing Another Type
of Annealing," Journal of Japanese Society for Artificial
Intelligence, Vol. 12, No. 5, pp. 689697, 1997 (in Japanse).
 Mase, S. and Ueda, N., "Mathematical Morphology and Image
Analysis I," Journal of IEICEJ, Vol. 64, No. 2, pp. 166174 , 1991 (in
Japanese).
 Ueda, N. and Mase, S., "Mathematical Morphology and Image
Analysis II," Journal of IEICEJ, Vol. 64, No. 3, pp. 271279, 1991 (in
Japanse).
Internal Invited Technical Reports at NTT
 Fujino, A., Ueda, N., and Saito, K., "Semisupervised learning
forautomatic text classification, " NTT Technical Journal, Vol.19,
No.6, pp.2628, 2007. (In Japanese)
 Ueda, N., "Web Science Research," NTT Technical Review, Vol. 3,
No. 3, pp. 1214, 2005.
 Ueda, N., "Web Science Research," NTT Technical Journal,
Vol.16, No. 6, p. 22, 2004. (In Japanese)
 Ueda, N. and Nakano, R., "Competitive and Selective Learning
Method for Optimal Vector Quantizer Design," NTT R&D, Vol. 42, No.
6, 1993 (in Japanese).
 Nakano, R., Ueda, N., Saito, K., and Yamada, T., " Research on
Learning Aiming at Artificial Intelligence," NTT R&D, Vol. 42, No.
9, pp. 11751184, 1993 (in Japanese).
 Ueda, N., Mase, K., and Suenaga, Y., "Contour Tracking Method
Using Energyminimizing Elastic Models," NTT R&D, Vol. 42, No. 4,
pp. 477486, 1993 (in Japanese).
 Ueda, N. and Suzuki, S., "Multiscale Convex/Concave Structure
Matching : MC Matching Method," NTT R&D, Vol. 40, No. 3,
pp.399406, 1991 (in Japanese).
 Kawada, E., Ueda, N., Ogawa, H., and Kosugi, M., "A Figure
Recognition Method for HandWritten Drawings," NTT Electrical
Communications Laboratories Technical Journal, Vol. 37, No. 3, pp.
217223, 1988 (in Japanese).
 Ueda, N., Nagura, M., Hoshino, T., and Mori, K., "Image
Enhancement Method for HandWritten Line Drawings," NTT Electrical
Communications Laboratories Technical Journal, Vol. 37, No. 3, pp.
211216, 1988 (in Japanese).
Book & Book Chapters
 Kabashima, Y. and Ueda, N., "Frontier of Statistical Science 11,
Computational Statistics I  (3)," Iwanami Shoten, Japan, 2003.(in
Japanese)
 Ishii, K., Ueda, N., Maeda, E., and Murase, H., "Introduction to
Pattern Recognition," OhmSha, Tokyo, Japan, 1998.(in Japanese)
 Ueda, N., "Chapter 3: Pattern Recognition Theory," in IEICEJ
(Ed.),"Handbook of Electronics, Information and Communication,"
AsakuraShoten, Tokyo, Japan, 1998.(in Japanese)
 Ueda, N., "Chapter 9: Vector Quantization," in Amari, S.
(Ed.),"Handbook of Brain Science," AsakuraShoten, Tokyo, Japan,
1995.(in Japanese)
 NTT Human Interface Laboratory, Project RTV, Japanese translation
of "Horn, B. K. P., Robot Vision, MITPress, 1986" AsakuraShoten,
Tokyo, Japan, 1993. (in Japanese)