Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2021-06-28 13:00 |
Online |
Online |
Nonparametric Bayesian Deep Visualization Haruya Ishizuka (Bridgestone Corp.), Daichi Mochihashi (ISM) NC2021-1 IBISML2021-1 |
(To be available after the conference date) [more] |
NC2021-1 IBISML2021-1 pp.1-8 |
SR |
2019-01-25 16:40 |
Fukushima |
Corasse, Fukushima city (Fukushima prefecture) |
A study on widely acceptable model for spectrum usage Kento Yamada, Kenta Umebayashi (TUAT) SR2018-119 |
We investigate a flexible and scalable spectrum usage model in time domain for an enhanced dynamic spectrum access (DSA)... [more] |
SR2018-119 pp.141-147 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2018-06-13 13:00 |
Okinawa |
Okinawa Institute of Science and Technology |
Variable Order Infinite Hidden Markov Models Kei Uchiumi (Denso ITLab), Daichi Mochihashi (ISM) IBISML2018-5 |
[more] |
IBISML2018-5 pp.31-38 |
IBISML |
2017-11-09 13:00 |
Tokyo |
Univ. of Tokyo |
IBISML2017-35 |
(To be available after the conference date) [more] |
IBISML2017-35 pp.1-8 |
IBISML |
2016-11-16 15:00 |
Kyoto |
Kyoto Univ. |
[Poster Presentation]
Kazuyoshi Yoshii, Eita Nakamura, Katsutoshi Itoyama (Kyoto Univ.), Masataka Goto (AIST) IBISML2016-68 |
(To be available after the conference date) [more] |
IBISML2016-68 pp.155-162 |
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 |
2015-11-27 14:00 |
Ibaraki |
Epochal Tsukuba |
[Poster Presentation]
Stochastic process representation of R-tree Masahiro Nakano, Xiaomeng Wu, Minoru Mori, Akisato Kimura, Kunio Kashino (NTT) IBISML2015-76 |
This paper discusses a new stochastic process that represents the innitely exchangeable rectangular partitioning of a m... [more] |
IBISML2015-76 pp.175-182 |
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]
Infinite Positive Semidefinite Tensor Factorization based on Gamma Process for Music Signal Analysis Kazuyoshi Yoshii (AIST), Ryota Tomioka (Univ. of Tokyo), Daichi Mochihashi (ISM), Masataka Goto (AIST) IBISML2013-57 |
This paper presents positive semidefinite tensor factorization (PSDTF) that is a natural extension of nonnegative matrix... [more] |
IBISML2013-57 pp.161-168 |
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 |
SIP, CAS, CS |
2013-03-15 15:35 |
Yamagata |
Keio Univ. Tsuruoka Campus (Yamagata) |
Towards driving behavior prediction: Applying nonparametric Bayesian approach to driving operation time series data Ryunosuke Hamada, Takatomi Kubo, Kazushi Ikeda, Zujie Zhang, Tomohiro Shibata (NAIST), Takashi Bando, Masumi Egawa (DENSO) CAS2012-142 SIP2012-173 CS2012-148 |
Prediction of driving behaviors is important problem in developing a next-generation driving support system. In order to... [more] |
CAS2012-142 SIP2012-173 CS2012-148 pp.265-270 |
IBISML |
2012-11-07 15:30 |
Tokyo |
Bunkyo School Building, Tokyo Campus, Tsukuba Univ. |
Subset Infinite Relational Model Katsuhiko Ishiguro, Naonori Ueda, Hiroshi Sawada (NTT) IBISML2012-37 |
We propose a new probabilistic generative model for analyzing sparse and noisy relational data, such as friend-links on ... [more] |
IBISML2012-37 pp.23-30 |
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 |
PRMU, IBISML, IPSJ-CVIM (Joint) [detail] |
2012-09-03 10:30 |
Tokyo |
|
Nonparametric Bayesian Estimation for Automatic Image Annotation Using Gaussian Mixture Model Yukihiro Tsuboshita, Noriji Kato (Fuji Xerox), Masato Okada (The universisty of Tokyo) PRMU2012-40 IBISML2012-23 |
Automatic image annotation (AIA) is a process to automatically assign metadata to a digital image in the form of caption... [more] |
PRMU2012-40 IBISML2012-23 pp.93-98 |
PRMU, NLC |
2012-06-29 17:00 |
Tokyo |
|
Bayesian Nonparametric Approach to Audio Event Detection Yasunori Ohishi (NTT), Daichi Mochihashi, Tomoko Matsui (ISM), Masahiro Nakano, Hirokazu Kameoka, Tomonori Izumitani, Kunio Kashino (NTT) NLC2012-9 PRMU2012-29 |
As the amount of available multimedia data increases, the technique to automatically extract the significant information... [more] |
NLC2012-9 PRMU2012-29 pp.37-42 |