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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IT, RCS, SIP | 2023-01-25 14:35 |
Gunma | Maebashi Terrsa (Primary: On-site, Secondary: Online) |
An Optimal Prediction on Multilevel Coefficient Linear Regression Model by Bayes Decision Theory and Its Approximation Method Kohei Horinouchi, Koshi Shimada, Toshiyasu Matsushima (Waseda Univ.)  IT2022-67 SIP2022-118 RCS2022-246 |
It is common practice to apply Multilevel Analysis for the data sampled from various classes. In this Analysis, it is co... [more] | IT2022-67 SIP2022-118 RCS2022-246 pp.217-222 |
| RCS | 2022-06-16 14:30 |
Okinawa | University of the Ryukyus, Senbaru Campus and online (Primary: On-site, Secondary: Online) |
Comparison of Performance and Complexity for different Search Methods in Stochastic MIMO Signal Detection Hiroki Asumi, Yukiko Kasuga, Kazushi Matsumura, Junichiro Hagiwara, Toshihiko Nishimura, Takanori Sato, Yasutaka Ogawa, Takeo Ohgane (Hokkaido Univ.) RCS2022-49 |
In large-scale MIMO signal detection, the computational complexity increases as the number of antennas increases. We hav... [more] | RCS2022-49 pp.150-155 |
| RCS | 2021-06-23 09:40 |
Online | Online | A Comparison of Variational Bayesian and Expectation Propagation Methods for Massive MIMO Signal Detection Hiroki Asumi, Junichiro Hagiwara, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa, Takanori Sato (Hokkaido Univ.) RCS2021-30 |
Signal detection in massive MIMO has difficulty in reducing computational complexity as the number of antennas increases... [more] | RCS2021-30 pp.7-12 |
| IT | 2020-07-16 14:45 |
Online | Online | Asymptotic Evaluation of $alpha$-divergence between VB Posterior Predictive Distribution and Bayesian Predictive Distribution Kazuki Yamada, Shota Saito, Toshiyasu Matsushima (Waseda Univ.) IT2020-14 |
In this paper, we consider the problem of determining probability distribution of $X_{n+1}$ given ${X_i }_{i=1}^{n}$ fol... [more] | IT2020-14 pp.19-23 |
| IT | 2019-07-25 14:25 |
Tokyo | NATULUCK-Iidabashi-Higashiguchi Ekimaeten | Bayes Optimal Prediction and Its Approximative Algorithm on Model Including Cluster Explanatory Variables and Regression Explanatory Variables Haruka Murayama, Shota Saito, Yuta Nakahara, Toshiyasu Matsushima (Waseda Univ.) IT2019-16 |
In this research, data are assumed to be divided in clusters based on a part of the continuous explanatory variables, an... [more] | IT2019-16 pp.5-10 |
| IBISML | 2018-03-05 17:25 |
Fukuoka | Nishijin Plaza, Kyushu University | Bayesian Independent Component Analysis under Hierarchical Model on Latent Variables Kai Asaba, Shota Saito, Shunsuke Horii, Toshiyasu Matsushima (Waseda Univ.) IBISML2017-97 |
Independent component analysis (ICA) deals with the problem of estimating unknown latent variables which generate the ob... [more] | IBISML2017-97 pp.49-53 |
| IBISML | 2016-11-17 14:00 |
Kyoto | Kyoto Univ. | Extraction of Cluster Structural Changes using Variational Bayes Daisuke Kaji (Denso), Kazuho Watanabe (Toyohashi Tech.) IBISML2016-78 |
Variational Bayes learning (VB) is widely applied to clustering problems as the low computational cost algorithm of Baye... [more] | IBISML2016-78 pp.229-233 |
| IBISML | 2014-11-17 17:00 |
Aichi | Nagoya Univ. | [Poster Presentation]
Theoretical Analysis of Empirical MAP and Empirical Partially Bayes Shinichi Nakajima (TU Berlin), Masashi Sugiyama (Univ. of Tokyo) IBISML2014-38 |
Variational Bayesian (VB) learning is known to be a promising approximation to Bayesian learning with computational... [more] |
IBISML2014-38 pp.25-32 |
| SP, IPSJ-MUS | 2014-05-24 11:30 |
Tokyo | Underdetermined Blind Separation of Moving Sources Based on Probabilistic Modeling Takuya Higuchi, Norihiro Takamune, Tomohiko Nakamura (Univ. of Tokyo), Hirokazu Kameoka (Univ. of Tokyo/NTT) SP2014-20 |
This paper deals with the problem of the underdetermined blind separation and tracking of moving sources. In practical s... [more] | SP2014-20 pp.211-216 |
|
| AP (2nd) |
2014-05-15 - 2014-05-16 |
Ishikawa | The Kanazawa Theatre | [Poster Presentation]
Study on Wave Distribution Function Method with Markov Random Field Model for VLF Electromagnetic Waves Mamoru Ota, Yoshiya Kasahara, Yoshitaka Goto (Kanazawa Univ.) |
The wave distribution function (WDF) method was proposed for VLF waves in the earth's plasmasphere/magnetosphere. This m... [more] | |
| NC, MBE (Joint) |
2014-03-18 14:20 |
Tokyo | Tamagawa University | 3D Superresolution of Microscopic Images based on Variational Bayesian Inference via Chebyshev polynomials approximation Yasuhiro Imoto, Shin-ichi Maeda, Shin Ishii (Kyoto Univ.) NC2013-111 |
Optical microscopes are used to elucidate changes in cellular functions mediated by morphological changes of cells in vi... [more] | NC2013-111 pp.133-138 |
| IBISML | 2014-03-06 14:55 |
Nara | Nara Women's University | Consideration of Correlation between Users' Evaluating Values and Their Dropouts in Missing Value Prediction Kenta Nishimura, Toshiyuki Tanaka (Kyoto Univ.) IBISML2013-71 |
In user-item relational data, there are sometimes correlations between values and their dropouts. Existing methods under... [more] | IBISML2013-71 pp.31-38 |
| PRMU | 2013-02-22 10:00 |
Osaka | Image recognition based on hidden Markov eigen-image models with the variational Bayesian method Kei Sawada, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.) PRMU2012-165 |
This paper proposes an image recognition technique based on Hidden Markov Eigen-image Models (HMEMs) using the variation... [more] | PRMU2012-165 pp.155-160 |
|
| IBISML | 2012-11-08 15:00 |
Tokyo | Bunkyo School Building, Tokyo Campus, Tsukuba Univ. | On Dimensionality Recovery Guarantee of Variational Bayesian PCA Shinichi Nakajima (Nikon), Ryota Tomioka (Univ. of Tokyo), Masashi Sugiyama (Tokyo Inst. of Tech.), Derin Babacan (Illinois Univ.) IBISML2012-66 |
The variational Bayesian (VB) approach is one of the best tractable approximations to the Bayesian estimation, and it ... [more] |
IBISML2012-66 pp.229-236 |
| IBISML | 2012-11-08 15:00 |
Tokyo | Bunkyo School Building, Tokyo Campus, Tsukuba Univ. | Considering the multiplicity in mixture model brings better results Tetsuo Furukawa (Kyutech) IBISML2012-89 |
The purpose of this work is to re-examine the probabilistic model of the mixture model, and to derive the algorithm by... [more] |
IBISML2012-89 pp.395-402 |
| SANE | 2012-07-27 13:25 |
Tokyo | Navigation, trafic control and general | Estimation of distribution model of lateral navigation performance of aircraft by means of variational Bayesian method Masato Fujita (ENRI) SANE2012-42 |
Lateral deviations of aircraft from the center line of the assigned route are modeled as probabilistic distribution mode... [more] | SANE2012-42 pp.7-12 |
| MBE, NC (Joint) |
2012-03-15 14:35 |
Tokyo | Tamagawa University | Constructing sparse generative topographic mapping using variational Bayes Nobuhiko Yamaguchi (Saga Univ.) NC2011-166 |
Generative Topographic Mapping (GTM) is a nonlinear latent variable model introduced by Bishop {\it et al.} as a data vi... [more] | NC2011-166 pp.263-268 |
| PRMU | 2011-11-25 13:45 |
Nagasaki | Face recognition based on separable lattice 2-D HMMs with variational Bayesian method Kei Sawada, Akira Tamamori, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.) PRMU2011-120 |
This paper proposes an image recognition technique based on separable lattice 2-D hidden Markov models (SL2D-HMMs) with ... [more] | PRMU2011-120 pp.125-130 |
|
| IBISML | 2011-11-09 15:45 |
Nara | Nara Womens Univ. | Local Minima Structure of Variational Bayes Learning Fumito Nakamura, Sumio Watanabe (Tokyo Tech) IBISML2011-43 |
Variational Bayes learning has good generalization performance as Bayes learning by relatively small computational cost... [more] |
IBISML2011-43 pp.5-10 |
| IBISML | 2011-11-10 15:45 |
Nara | Nara Womens Univ. | Image Segmentation and Restoration using Switching State-Space Model and Variational Bayesian Method Ryota Hasegawa (Kansai Univ.), Ken Takiyama, Masato Okada (Univ. of Tokyo), Seiji Miyoshi (Kansai Univ.) IBISML2011-67 |
We derive a deterministic algorithm that restores and segments image using switching state-space model and variational B... [more] | IBISML2011-67 pp.169-174 |
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