Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IBISML |
2016-11-17 14:00 |
Kyoto |
Kyoto Univ. |
Infinite graphs with finite diameters Chihiro Watanabe, Masahiro Nakano, Xiaomeng Wu, Takahito Kawanishi, Kaoru Hiramatsu, Kunio Kashino (NTT) IBISML2016-77 |
Recently, new stochastic processes have been proposed for analyzing structured data with combinatorial constraints. Part... [more] |
IBISML2016-77 pp.221-228 |
SP |
2016-10-27 13:00 |
Shizuoka |
Shizuoka University. |
[Invited Talk]
Unsupervised Word Discovery based on Bayesian Nonparametrics Tadahiro Taniguchi (Ritsumeikan) SP2016-44 |
Word discovery is a critical task in language acquisition for infants.
Human infants can discover words from speech sig... [more] |
SP2016-44 pp.21-22 |
SP |
2016-08-24 14:00 |
Kyoto |
ACCMS, Kyoto Univ. |
[Invited Talk]
Unsupervised Music Understanding based on Hierarchical Bayesian Acoustic and Language Models Kazuyoshi Yoshii (Kyoto Univ.) SP2016-29 |
This paper presents a statistical approach to unsupervised music understanding. Our goal is to estimate musical notes fr... [more] |
SP2016-29 pp.13-18 |
EA, SP, SIP |
2016-03-29 09:00 |
Oita |
Beppu International Convention Center B-ConPlaza |
[Poster Presentation]
Sparse Kernel Regression Based on Nonparametric Bayesian Model Atsushi Kojima, Suguru Yasutomi, Toshihisa Tanaka (TUAT) EA2015-126 SIP2015-175 SP2015-154 |
In general, one of major challenges in regression analysis is how to select an appropriate model. As the number of obser... [more] |
EA2015-126 SIP2015-175 SP2015-154 pp.335-340 |
IBISML |
2014-11-18 15:00 |
Aichi |
Nagoya Univ. |
[Poster Presentation]
An Infinite Superimposed Discrete All-pole Model based on Gamma Processes for Music Signal Analysis Kazuyoshi Yoshii, Katsutoshi Itoyama (Kyoto Univ.), Masataka Goto (AIST) IBISML2014-60 |
This paper presents a probabilistic model that is used for decomposing music audio signals into the three elements of so... [more] |
IBISML2014-60 pp.191-198 |
SP, IPSJ-MUS |
2014-05-24 10:30 |
Tokyo |
|
[Invited Talk]
Infinite data analysis and Bayesian nonparametrics for audio signal processing Masahiro Nakano (NTT) SP2014-3 |
Bayesian nonparametrics has been an active area of research. Althoug we can construct a variety of models based on famou... [more] |
SP2014-3 pp.13-18 |
IBISML |
2013-11-13 15:45 |
Tokyo |
Tokyo Institute of Technology, Kuramae-Kaikan |
[Poster Presentation]
Floor-plan partitioning stochastic processes for relational data analysis Masahiro Nakano, Katsuhiko Ishiguro, Akisato Kimura, Takeshi Yamada, Naonori Ueda (NTT) IBISML2013-62 |
This paper presents a floor-plan partitioning stochastic process, that can potentially generate arbitrary rectangular pa... [more] |
IBISML2013-62 pp.197-204 |
IBISML |
2012-11-07 15:30 |
Tokyo |
Bunkyo School Building, Tokyo Campus, Tsukuba Univ. |
Infinite Composite Autoregressive Models based on Gamma Processes for Music Signal Analysis Kazuyoshi Yoshii, Masataka Goto (AIST) IBISML2012-51 |
This paper presents novel statistical models that can be used for multiple fundamental frequency (F0) estimation and tim... [more] |
IBISML2012-51 pp.121-128 |
IBISML |
2012-11-07 15:30 |
Tokyo |
Bunkyo School Building, Tokyo Campus, Tsukuba Univ. |
Nested-Hierarchical Dirichlet Process Mixtures for Simultaneous Document-Topic Clustering Shoji Tominaga, Masamichi Shimosaka, Rui Fukui, Tomomasa Sato (Univ. of Tokyo) IBISML2012-56 |
In this paper, we propose a nonparametric Bayesian framework for natural language processing (NLP). Our framework is bas... [more] |
IBISML2012-56 pp.157-164 |
IBISML |
2012-03-12 11:50 |
Tokyo |
The Institute of Statistical Mathematics |
Hyperparameter Selection of Infinite Gaussian Mixture Model via Widely Applicable Information Criterion Takushi Miki, Masahiro Kohjima, Sumio Watanabe (titech) IBISML2011-91 |
Recently, nonparametric Bayesian method is applied to wide range of research fields such as natural language processing,... [more] |
IBISML2011-91 pp.29-33 |
IBISML |
2010-11-05 15:30 |
Tokyo |
IIS, Univ. of Tokyo |
[Poster Presentation]
Infinite Latent Harmonic Allocation based on Hierarchical Dirichlet Process for Music Signal Analysis Kazuyoshi Yoshii, Masataka Goto (AIST) IBISML2010-86 |
This paper presents a method called the infinite latent harmonic allocation (iLHA) for detecting multiple fundamental fr... [more] |
IBISML2010-86 pp.195-202 |
IBISML |
2010-06-15 09:30 |
Tokyo |
Takeda Hall, Univ. Tokyo |
[Invited Talk]
Statistical Machine Learning Based on Nonparametric Bayesian Models Takaki Makino (Univ. of Tokyo.) IBISML2010-14 |
Nonparametric Bayesian models are a new approach for machine learning, involving overfitting avoidance and model selecti... [more] |
IBISML2010-14 pp.87-94 |