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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2023-06-29 15:10 |
Okinawa | OIST Conference Center (Primary: On-site, Secondary: Online) |
Selective Inference for DNN-driven Saliency Map Daiki Miwa (NITech), Vo Nguyen Le Duy (RIKEN), Tomohiro Shiraishi (Nagoya Univ.), Ichiro Takeuchi (Nagoya Univ./RIKEN)  NC2023-5 IBISML2023-5 |
The usefulness of image classification using DNN models has been confirmed in various fields, but the prediction mechani... [more] | NC2023-5 IBISML2023-5 pp.30-34 |
| IT, ISEC, RCC, WBS | 2022-03-11 14:55 |
Online | Online | On Strong Converse Theorem for Distributed Hypothesis Testing Yasutada Oohama (UEC) IT2021-122 ISEC2021-87 WBS2021-90 RCC2021-97 |
In this study, we consider a communication system in which data generated at two points with correlation is separatley... [more] |
IT2021-122 ISEC2021-87 WBS2021-90 RCC2021-97 pp.228-233 |
| IBISML | 2022-01-18 13:40 |
Online | Online | More Powerful Selective Inference for K-means clustering with Application to Single Cell Analysis Mizuki Sato, Yumehiro Omori, Yu Inatsu, Ichiro Takeuchi (NITech) IBISML2021-25 |
K-means clustering is the most famous clustering method because of its simplicity, and it has been applied to a wide ran... [more] | IBISML2021-25 pp.54-60 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2021-06-28 16:10 |
Online | Online | More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method Kazuya Sugiyama (Nitech), Vo Nguyen Le Duy, Ichiro Takeuchi (Nitech/RIKEN) NC2021-8 IBISML2021-8 |
Conditional selective inference (SI) has been actively studied as a new statistical inference framework for data-driven ... [more] | NC2021-8 IBISML2021-8 pp.55-61 |
| SR | 2021-05-20 10:50 |
Online | Online | Statistic Sample Size Determination for Average Received Signal Power Using Statistical Inference Keita Katagiri, Takeo Fujii (UEC) SR2021-3 |
Nowadays, a crowdsourcing-assisted radio map has attracted attention. In crowdsourcing, distributed mobile terminals obs... [more] | SR2021-3 pp.16-23 |
| NC, MBE (Joint) |
2020-03-05 13:00 |
Tokyo | University of Electro Communications (Cancelled but technical report was issued) |
Bayesian learning curve for the case when the optimal distribution is not unique Shuya Nagayasu, Sumio Watanabe (Tokyo Tech) NC2019-94 |
Bayesian inference is a widely used statistical method. Asymptotic behaviors of generalization loss and free energy in B... [more] | NC2019-94 pp.107-112 |
| IBISML | 2020-01-09 14:15 |
Tokyo | ISM | Statistical Learning Theory of Data changed in Value Satoshi Kataoka (Titech) IBISML2019-21 |
In Statistical Learning Theory, the accuracy of inference is evaluated by generalization loss or free energy of true d... [more] |
IBISML2019-21 pp.25-30 |
| R | 2019-12-13 14:25 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Statistical method of estimating the date when school lunch caused mass food poisoning was supplied Mitsuhiro Kimura (Hosei Univ.), Shuhei Ota (Kanagawa Univ.) R2019-51 |
We focus on estimating the date when school lunch caused mass food poisoning was supplied. In the literature, a log-norm... [more] | R2019-51 pp.7-12 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
A Note on the Estimation Method of Causality Effects based on Statistical Decision Theory Shunsuke Horii, Tota Suko (Waseda Univ.) IBISML2018-97 |
In this paper, we deal with the problem of estimating the intervention effect in statistical causal analysis using struc... [more] | IBISML2018-97 pp.397-402 |
| SIP, EA, SP, MI (Joint) [detail] |
2018-03-19 10:50 |
Okinawa | On the Use of Deep Gaussian Processes for GPR-based Speech Synthesis Tomoki Koriyama, Takao Kobayashi (Tokyo Inst. of Tech.) EA2017-106 SIP2017-115 SP2017-89 |
This paper proposes a speech synthesis framework based on deep Gaussian processes (DGPs). DGP is a Bayesian deep learn... [more] |
EA2017-106 SIP2017-115 SP2017-89 pp.27-32 |
|
| SP, ASJ-H | 2018-01-20 13:25 |
Tokyo | The University of Tokyo | A study on statistical speech synthesis based on GP-DNN hybrid model Tomoki Koriyama, Takao Kobayashi (Tokyo Tech) SP2017-67 |
We propose a novel approach to Gaussian process regression (GPR)-based speech synthesis in this paper. Since the conve... [more] |
SP2017-67 pp.5-10 |
| SC | 2017-03-10 15:45 |
Tokyo | National Institute of Informatics | Probabilistic Inference of Customer States Using Statistical Open Data and Bayesian Networks Hiroaki Nakamura, Michiharu Kudo, Hironori Takeuchi (IBM Japan) SC2016-35 |
Enterprises need to provide services specialized for each customer in a timely manner, and for that purpose, they rely o... [more] | SC2016-35 pp.39-44 |
| EA, US (Joint) |
2017-01-25 13:00 |
Kyoto | Doshisha Univ. | [Poster Presentation]
Directive beamforming based on probability weighted least square Ryusuke Tanaka, Yoichi Haneda (UEC) EA2016-70 |
Directivity beamforming using a microphone array has been currently implemented for noise suppres- sion in video confer... [more] |
EA2016-70 pp.13-18 |
| IN, IA (Joint) |
2015-12-18 11:35 |
Hiroshima | Hiroshima City University | An improved inference method for mean flow rate in OD traffic matrix Yuki Wakamatsu, Masato Tsuru (Kyutech) IN2015-87 |
In network management, a global perspective of volume statistics of macro-level flows of network traffic, e.g., traffic ... [more] | IN2015-87 pp.95-100 |
| PRMU, MI, IE | 2013-05-25 15:30 |
Aichi | Study on Spatial Connectivity of Likelihood Distribution for Registering Point Distribution Model to Images Shin-ya Uto, Hidekata Hontani (Nagoya Inst. of Tech.) IE2013-25 PRMU2013-18 MI2013-18 |
We propose a non-rigid surface registration method for point distribution model, which considers spatial connectivity of... [more] | IE2013-25 PRMU2013-18 MI2013-18 pp.85-88 |
|
| ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] | 2013-02-18 15:20 |
Hokkaido | Hokkaido Univ. | Consideration of Perceptual Segmentation Algorithm for Natural Color Images Naoya Ishikura, Takehito Tani, Junji Maeda (Muroran Inst. of Tech.) ITS2012-31 IE2012-111 |
Image segmentation is a useful preprocessing in image recognition. The purpose of this paper is to develop the perceptu... [more] |
ITS2012-31 IE2012-111 pp.71-76 |
| MBE, NC (Joint) |
2012-11-17 13:30 |
Miyagi | Tohoku University | Composite likelihood estimation for bipartite Boltzmann machines Takashi Asari, Muneki Yasuda, Yuji Waizumi, Kazuyuki Tanaka (Tohoku Univ.) NC2012-68 |
The recent development of information technology has enabled us to obtain and to storage huge information data. Because... [more] |
NC2012-68 pp.39-44 |
| NLP | 2012-04-20 09:45 |
Mie | Ise City Plaza | Statistical Mechanics of Phase Unwrapping Using the Q-Ising Model Yohei Saika (Gunma NCT), Tatsuya Uezu (Nara Women's Univ.) NLP2012-12 |
On the basis of analogy between statistical mechanics and Bayesian inference, we constructed a method of phase unwrappin... [more] | NLP2012-12 pp.61-65 |
| ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] | 2012-02-20 10:20 |
Hokkaido | Hokkaido Univ. | Automatic Determination of Number of Regions in Perceptual Segmentation of Color Images Masanori Fujiwara, Kyohei Shima, Naoya Ishikura, Junji Maeda (Muroran IT) ITS2011-30 IE2011-106 |
Image segmentation is a useful preprocessing in image recognition. The purpose of this paper is to develop the perceptua... [more] | ITS2011-30 IE2011-106 pp.15-20 |
| IBISML | 2011-11-10 15:45 |
Nara | Nara Womens Univ. | A Method for Estimating Binary Data Generating Process Takanori Inazumi, Takashi Washio, Shohei Shimizu, Joe Suzuki (Osaka Univ.), Akihiro Yamamoto (Kyoto Univ.), Yoshinobu Kawahara (Osaka Univ.) IBISML2011-65 |
In our previous study, we proposed a method to identify a data generation process governing its given binary data set. H... [more] | IBISML2011-65 pp.155-162 |
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