Katsuhiko Ishiguro, Ph. D. - publication
Last Updated: Feb 08, 2016 by Katsuhiko
Ishiguro.
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Journal articles
2015
The behavior generation modeling method to extract the reason to select shops,
IPSJ Transactions, in press (in Japanese).
Discovering and Describing Image Context from Socially Curated Contents as Corpora,
IPSJ Transactions on Mathematical Modeling and its Applications, Vol. 8, No. 3, p. 10-25, 2015 (in Japanese).
2014
Multichannel Sound Source Dereveration and Separation for Arbitrary Number of Sources based on Bayesian Nonparametrics,
IEEE Transactions on Audio, Speech and Language Processing, Vol. 22, No. 12, p. 2218-2232, 2014.
Creating Stories from Socially Curated Microblog Messages,
IEICE Transactions on Information and Systems, Vol. E9-D, No. 6, pp. 1557-1566, 2014.
Bayesian Nonparametrics for Microphone Array Processing,
IEEE Transactions on Audio, Speech and Language Processing, Vol. 22, No. 2, pp. 493-504, 2014.
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).
2013
SemiCCA: An Efficient Semi-supervised Learning of Canonical Correlations,
IPSJ Transactions on MPS, Vol. 16, No. 1, pp. 128-135, 2013.
2012
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.
2010
Dynamic Infinite Relational Model for Time-dependent Relational Data Analysis,
IPSJ Transactions on Mathematical Modeling and its Applications, Vol. 3, No. 1, pp. 1-12, 2010 (in Japanese).
2009
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).
Clustering and Tracking Multi-target Time Series Data Based on Nonparametric Bayes Model,
IEICE Transactions on Information and Systems, Vol. J92-D, No. 3, pp. 371-381, 2009 (in Japanese).
2008
Comparison of Nonlinear Granger Causality Extensions for Low-Dimensional Systems,
Physical Review E, Vol. 77, No. 3, 036217, 2008.
Detecting Direction of Causal Interactions Between Dynamically Coupled Signals,
Physical Review E, Vol. 77, No. 2, 026216, 2008.
2007
Methods for Quantifying the Causal Structure of Bivariate Time Series,
International Journal of Bifurcation and Chaos, Vol. 17, No. 3, pp. 903-921, 2007.
Referred international conference papers
2016
Infinite Plaid Models for Infinite Bi-clustering,
Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI-16), to appear.
2014
Averaged Collapsed Variational Bayes Inference and its application to Infinite Relational Model,
NIPS 2014 Workshop on Advances in Variational Inference, 2014.
Bayesian Nonparametrics for Microphone Array Processing,
IEEE Global SIP, 2014.
Rectangular Tiling Process,
Proceedings of the 31st International Conference on Machine Learning (ICML), 2014.
2013
Non-negative Multiple Tensor Factorization,
Proceedings of 2013 IEEE International Conference on Data Mining (ICDM), to appear.
Image Context Discovery from Socially Curated Contents,
Proceedings of 21st ACM International Conference on Multimedia (ACMMM2013), pp. 565-568, 2013.
Non-negative Multiple Matrix Factorization,
Proceedings of 2013 International Joint Conference on Artificial Intelligence (IJCAI-13), 2013.
2012
Towards Automatic Image Understanding and Mining via Social Curation,
Proceedings of the IEEE International Conference on Data Mining (ICDM2012), pp. 906-911, 2012.
Extended Fisher Criterion based on Auto-correlation Matrix Information,
Proceedings of the 9th International Workshop on Statistical Techniques in Pattern Recognition and
14th International Workshop on Structured and Syntactic Pattern Recognition (S+SSPR2012), 2012 (accepted as an oral session paper).
Unified Auditory Functions based on Bayesian Topic Model,
Proceedings of the 2012 IEEE/RSJ Conference on Intelligent Robots and Systems (IROS2012), 2012.
Bayesian Unification of Sound Source Localization and Separation with Permutation Resolution,
Proceedings of the 26th AAAI Conference on Artificial Intelligence (AAAI2012), pp. 2038-2045, 2012 (accepted as an oral session paper).
Creating Stories: Social Curation on Twitter Messages,
Proceedings of the 6th AAAI Conference on Weblogs and Social Media (ICWSM2012), 2012.
Subset Infinite Relational Models,
Proceedings of the 15th International Conference on Artificial Intelligence and Statistics (AISTATS2012), pp. 547-555, 2012.
2011
Logitboost Extension for Early Classification of Sequences,
Lecture Notes in Computer Science: Computer Analysis of Images and Patterns (Proceedings of CAIP2011), Vol. 6854, Part I, pp. 579-588, 2011.
Mobile Topigraphy: Large-scale Tag Cloud Visualization for Mobiles,
Proceedings of the 20th International World Wide Web Conference (WWW2011).
2010
Dynamic Infinite Relational Model for Time-varying Relational Data Analysis,
Advances in Nueral Information Processing Systems 23 (Proceedings of NIPS2010), 2010.
Multi-class Boosting for Early Classification of Sequences,
Proceedings of the 21st Britich Machine Vision Conference (BMVC 2010), pp. 24.1-24.10, 2010.
[copyrights by authors] [PDF] [supplemental material]
SemiCCA: Efficient Semi-supervised Learning of Canonical Correlations,
Proceedings of the 20th International Conference on Pattern Recognition (ICPR 2010), pp. 2933-2936, 2010.
Object-based Activity Recognition with Heterogeneous Sensors on Wrist,
Proceedings of the Eighth International Conference on Pervasive Computing (Pervasive 2010), pp. 246-264, 2010.
2009
A Probabilistic Speaker Clustering for DOA-based Diarization,
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA 2009), pp. 241-244, 2009. (accepted as a lecture (oral) session paper)
2008
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.
2006
Real-Time Motion Recognition Using CHLAC Features and Cluster,
Proceedings of IFIP International Conference on Network and Parallel Computing (NPC 2006), pp. 50-56, 2006.
2005
Inter-modal Learning and Object Concept Acquisition,
Proceedings of IAPR Conference on Machine Vision Applications (MVA2005), pp. 148-151, 2005.
Preprints and Others
Supernova candidates discovered with Subary/Hyper Suprime-Cam,
The Astronomer's Telegram, ATel#7927, 2015.
Collapsed Variatonal Bayes Inference on Infinite Relational Model,
arXiv, arXive:1409.4757 [cs.LG], 2014.
Invited talks
A survey of the topic models for statistical pattern recognition researchers, (in Japanese)
IEICE Technical Comittee Conferences on Pattern Recognition and Media Understanding, 2015.
Analysis of Nonstationary time-varying relational data, (in Japanese)
The 14th Information-Based Induction Sciences Workshop (IBIS2011), 2011.
Estimating unstational latent structure within time-varying relational data, (in Japanese)
The 2nd Latent Dynamics Workshop, 2011.
Lectures and Tutorials
Probabilistic Topic Models, (in Japanese)
Public lectures, The Institute of Statistical Mathematics, Dec 2013.
Probabilistic Topic Models, (in Japanese)
Public lectures, The Institute of Statistical Mathematics, Jan 2013.
Patents (Japanese)
Patent 5771573, 2015.
Patent 5746086, 2015.
Patent 5684055, 2015.
Patent 5499362, 2014.
Patent 5499361, 2014.
Patent 5462748, 2014.
Patent 5281990, 2013.
Patent 5022387, 2012.
Patent 4972016, 2012.
Copyright Notices
for AAAI materials:
Copyright (C) 2012, 2016 by Association for the Advancement of Artificial Intelligence (www.aaai.org).
for APS materials:
Copyright 2008 by the American Physical Society.
for IEEE materials:
Copyright (C) 2008,2009,2012 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
