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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SIP, IT, RCS | 2024-01-18 11:45 |
Miyagi | (Primary: On-site, Secondary: Online) |
A Study on Massive MIMO Channel Estimation Based on Sparse Bayesian Learning Using Hierarchical Model Kengo Furuta, Takumi Takahashi, Kenta Ito (Osaka Univ.), Shinsuke Ibi (Doshisha Uni.)  IT2023-34 SIP2023-67 RCS2023-209 |
Massive multi-input multi-output (MIMO) channels are known to have pseudo-sparsity in the angular (beam) domain, and it ... [more] | IT2023-34 SIP2023-67 RCS2023-209 pp.25-30 |
| HCGSYMPO (2nd) |
2023-12-11 - 2023-12-13 |
Fukuoka | Asia pacific Import Mart (Kitakyushu) (Primary: On-site, Secondary: Online) |
Individual response prediction with the Anchoring effect model. Fumiya Komatsu, Tomoaki Hamada, Airi Ono, Kazuki Takahashi, Takashi Takekawa (Kogakuin Univ.) |
In the anchoring effect, we predicted individual response values to anchors. In addition to modeling the anchoring effec... [more] | |
| HCGSYMPO (2nd) |
2022-12-14 - 2022-12-16 |
Kagawa | Onsite (Sunport Takamatsu) and Online (Primary: On-site, Secondary: Online) |
Analysis of Individual Characteristics Using Anchoring Effect Model with Bayesian Updating Fumiya Komatsu, Tomoaki Hamada, Isao Ozawa, Yoshihito Yasaki, Takashi Takekawa (KUTE-TOKYO) |
The anchoring effect is a phenomenon in which later judgments are influenced by previously presented numbers. There is a... [more] | |
| IBISML | 2022-03-09 14:55 |
Online | Online | Infinite SCAN: Joint Estimation of Changes and the Number of Word Senses with Gaussian Markov Random Fields Seiichi Inoue, Mamoru Komachi (TMU), Toshinobu Ogiso (NINJAL), Hiroya Takamura (AIST), Daichi Mochihashi (ISM) IBISML2021-47 |
In this study, we propose a hierarchical Bayesian model that can automatically estimate the number of senses for each wo... [more] | IBISML2021-47 pp.61-68 |
| R | 2019-11-28 16:25 |
Osaka | Central Electric Club | Reliability Methodologies for Degradation Predictions Based on Hierarchical Bayesian Modeling and Machine Learning Toru Kaise, Toyohiko Egami (Univ. of Hyogo) R2019-49 |
Degradation processes are significant for making values of reliability. Particularly, it is known that stochastic model... [more] |
R2019-49 pp.35-38 |
| 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 |
| SANE | 2016-11-24 17:10 |
Overseas | National Taipei University of Technology (NTUT) | An Experimental study on the Effectiveness of Hierarchical-Bayesian Compressed Sensing for High-Accuracy and Robust TOA Estimation Akira Moro, Guanghao Sun, Tetsuo Kirimoto (UEC) SANE2016-76 |
Microwave radar system is a promising tool for observation of terrain surface and surveillance of suspicious ship under ... [more] | SANE2016-76 pp.127-132 |
| 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 |
| AI | 2015-12-18 12:00 |
Okinawa | A Study on Prediction Model of the Number of Applications on Internet Portal Sites for Job Hunting Takuto Notsu, Kenta Mikawa, Masayuki Goto (Waseda Univ.), Tairiku Ogihara (Recruit Career Co., Ltd.) AI2015-34 |
Recently, the number of companies which are published on internet portal sites has increased in Japan. These portal site... [more] | AI2015-34 pp.49-54 |
|
| MBE, BioX | 2014-09-12 17:00 |
Nagano | Shinshu University | [Poster Presentation]
Development of simultaneous eye and cortical current estimation method from measured EEG data during smooth pursuit eye movements Yoshinari Kiribayashi, Ken-ichi Morishige (Toyama Pref. Univ.), Takeshi Ogawa, Masa-aki Sato, Mitsuo Kawato (ATR) BioX2014-22 MBE2014-45 |
In this study, we applied our proposed MEG denosing method to EEG data. EEG is more difficult than MEG because the scalp... [more] | BioX2014-22 MBE2014-45 pp.63-68 |
| MBE | 2014-05-24 15:15 |
Toyama | University of Toyama | MEG-fMRI integration method : Validation of reconstruction accuracy under the existence of temporal correlated fMRI invisible sources. Takafumi Yano, Hiroaki Natsukawa, Tetsuo Kobayashi (Kyoto Univ.) MBE2014-9 |
In this study, we compared accuracies of signal reconstructions obtained by two different MEG-fMRI integrative methods. ... [more] | MBE2014-9 pp.43-48 |
| NC, MBE (Joint) |
2013-11-22 14:15 |
Miyagi | Tohoku University | Verification of Effectiveness of the Probabilistic Algorithm for Latent Structure Extraction Using Associative Memory Model Kensuke Wakasugi (Univ. Tokyo), Tatsu Kuwatani (Tohoku Univ.), Kenji Nagata (Univ. Tokyo), Hideki Asoh (AIST), Masato Okada (Univ. Tokyo/RIKEN) NC2013-49 |
There are many analysis methods for high-dimensional data, but, in many cases, analysis is done under assumption that a ... [more] | NC2013-49 pp.17-22 |
| IBISML | 2013-03-05 14:35 |
Aichi | Nagoya Institute of Technology | * Yusuke Kishi, Takuma Nakamura, Tatsuhiro Harada, Takashi Matsumoto (Waseda Univ.) IBISML2012-105 |
Infinite Hidden Markov Random Fields have been proposed for image segmentation as a solution to the problem of automatic... [more] | IBISML2012-105 pp.87-94 |
| IBISML | 2013-03-05 15:40 |
Aichi | Nagoya Institute of Technology | Hierarchical Multi-label Classification on Statistical Decision Theory Kiyohito Yamamoto, Tota Suko, Toshiyasu Matsushima (Waseda Univ.) IBISML2012-107 |
This paper considers multi-label classification on statistical decision theory. In Label Power Set format, multi-label c... [more] | IBISML2012-107 pp.101-106 |
| 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 |
| MBE, NC (Joint) |
2012-03-14 14:10 |
Tokyo | Tamagawa University | Emergence of even-symmetric response property of complex cell by hierarchical Bayesian model Hiroki Yokoyama, Osamu Watanabe (Muroran Inst. Tech.) NC2011-130 |
Neurons in the primary visual cortex (V1) can be classified into two types: simple- and complex-cells. Many statistical ... [more] | NC2011-130 pp.51-56 |
| IBISML | 2011-11-09 15:45 |
Nara | Nara Womens Univ. | An Accuracy Analysis of Latent Variable Estimation with the Maximum Likelihood Estimator Keisuke Yamazaki (Tokyo Inst. of Tech.) IBISML2011-55 |
Hierarchical learning models such as mixture models and hidden Markov models are widely used in machine learning and d... [more] |
IBISML2011-55 pp.87-91 |
| NC, NLP | 2011-01-24 18:25 |
Hokkaido | Hokakido Univ. | Model Adaptation with Bayesian Hierarchical Models Hideki Asoh (AIST) NLP2010-140 NC2010-104 |
Model adaptation is a process of modifying general model which is trained with large amount of training data to adapt a ... [more] | NLP2010-140 NC2010-104 pp.93-98 |
| 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 |
| PRMU, IE, MI | 2010-05-14 16:30 |
Aichi | Chubu Univ. | Hierarchical Classifier with Multiple Feature Weighted Fusion for Scene Recognition Yae Kikutani, Atsushi Okamoto, Xian-Hua Han (Ritsumeikan Univ.), Xiang Ruan (OMRON), Yen-Wei Chen (Ritsumeikan Univ.) IE2010-45 PRMU2010-33 MI2010-33 |
Recently, scene recognition is becoming an additional functional in digital camera. Automatic scene understanding is a h... [more] | IE2010-45 PRMU2010-33 MI2010-33 pp.175-179 |
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