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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 12 of 12  /   
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
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