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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| QIT (2nd) |
2023-12-18 16:50 |
Okinawa | OIST (Primary: On-site, Secondary: Online) |
Research on mathematical formulation of infinite-dimensional quantum graphical calculus model based on non-standard analysis Hironari Nagayoshi (UTokyo), Asavanant Warit (UTokyo/RIKEN), Ryuhoh Ide (UTokyo), Akira Furusawa (UTokyo/RIKEN) |
Continuous-variable quantum computation (CV-QC) is an approach for quantum computing utilizing quantum states of infinit... [more] | |
| CPSY, DC, IPSJ-ARC [detail] | 2023-08-03 09:25 |
Hokkaido | Hakodate Arena (Primary: On-site, Secondary: Online) |
A Proposal of Selection Guideline for Geographical SMR Protocols Using Communication Pattern-based Response Time Models Koya Shiozaki, Junya Nakamura (Toyohashi Tech)  CPSY2023-9 DC2023-9 |
State Machine Replication (SMR) is a replication method that achieves fault tolerance by duplicating a service. Geograph... [more] | CPSY2023-9 DC2023-9 pp.7-12 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2023-03-16 13:10 |
Okinawa | Okinawaken Seinenkaikan (Naha-shi) (Primary: On-site, Secondary: Online) |
[Special Talk]
Group Sparse/Low-rank Modeling for Multidimensional Signal Recovery Seisuke Kyochi (Kogakuin Univ.) IMQ2022-52 CQ2022-93 IE2022-129 MVE2022-82 |
Group sparse/low-rank modeling based on the ℓ1 norm and nuclear norm has been successfully applied to signal processing... [more] |
IMQ2022-52 CQ2022-93 IE2022-129 MVE2022-82 pp.156-161(IMQ), pp.64-69(CQ), pp.156-161(IE), pp.156-161(MVE) |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2021-06-28 17:15 |
Online | Online | Non-approximate Inference for Collective Graphical Models on Path Graphs via Discrete Difference of Convex Algorithm Yasunori Akagi, Naoki Marumo, Hideaki Kim, Takeshi Kurashima, Hiroyuki Toda (NTT) NC2021-10 IBISML2021-10 |
The importance of aggregated count data, which is calculated from the data of multiple individuals, continues to increas... [more] | NC2021-10 IBISML2021-10 pp.70-77 |
| WBS, IT, ISEC | 2021-03-05 10:15 |
Online | Online | A Proposal for Causal Inference with Subjective Evaluation Daichi Ikeda, Hikaru Morita (Graduate School of Kanagawa Univ.) IT2020-146 ISEC2020-76 WBS2020-65 |
Machine learning techniques such as deep learning are often used for identification and personal matching in information... [more] | IT2020-146 ISEC2020-76 WBS2020-65 pp.208-212 |
| NLC, IPSJ-DC | 2018-09-06 17:20 |
Tokyo | Seikei University | Latent co-occurrence words graph extraction using sparse structure estimation
-- Comparison of word vectors between topic model and distributed representation -- Norimitsu Kubono, Nozomi Hiyoshi, Daiju Akashi (PERSOL CAREER) NLC2018-19 |
We are considering application of "structural topic model" in order to extract customer insight from member questionnai... [more] | NLC2018-19 pp.51-56 |
| HCGSYMPO (2nd) |
2017-12-13 - 2017-12-15 |
Ishikawa | THE KANAZAWA THEATRE | Detection of Inattentive State Based on Change of Driving Behavior
-- Study on Driving Behavior Model using GGM -- Konomi Takeyasu, Momoyo Ito (Tokushima Univ.), Kazuhito Sato (Akita Pref. Univ.), Shin-ichi Ito, Minoru Fukumi (Tokushima Univ.) |
In recent years traffic fatality accidents caused by accidental driving are increasing. If it is possible to detect an i... [more] | |
| IBISML | 2017-11-10 13:00 |
Tokyo | Univ. of Tokyo | [Poster Presentation]
Structure Learning of Graph Product Multilayer Network-shaped Gaussian Markov Random Fields Yuya Takashina, Masato Inoue (Waseda Univ.) IBISML2017-88 |
Learning the structure of graphical models is important in many fields, e.g., multivariate analysis and anomaly detectio... [more] | IBISML2017-88 pp.383-388 |
| NLC | 2017-09-08 10:50 |
Tokyo | Seikei University | Applicability of Structural Topic Model to job search site VOC text analysis
-- Feature selection with Bayesian Network Structure Learning -- Norimitsu Kubono, Nozomi Hiyoshi, Daiju Akashi (PERSOL CAREER) NLC2017-25 |
We describe the result of examination applying Structural Topic Model and Bayesian net structure learning complementaril... [more] | NLC2017-25 pp.53-58 |
| IBISML | 2016-11-16 15:00 |
Kyoto | Kyoto Univ. | A study of message propagation algorithms for approximate MAP inference of large scale probabilistic models Takashi Sano, Yuuji Ichisugi (AIST AIRC) IBISML2016-57 |
(To be available after the conference date) [more] | IBISML2016-57 pp.81-86 |
| PRMU, IPSJ-CVIM, MVE [detail] | 2016-01-22 10:00 |
Osaka | Fine-Grained Classification of Pedestrian using Statistical Information Yoshihito Kokubo, Yu Wang, Jien Kato, Kenji Mase (NU) PRMU2015-124 MVE2015-46 |
The purpose of this study is fine-grained classification of sex(2 classes), age(5 classes), weight(3 classes), clothing(... [more] | PRMU2015-124 MVE2015-46 pp.169-173 |
|
| MICT, ASN, MoNA (Joint) |
2015-01-27 09:50 |
Wakayama | Nanki Shirahama | A Flower-type Hybrid Sensor Network for Simultaneous Realization of Landslide Detection, Electric Power Transmission and Data Communication. Ryoma Kondo (TDU), Hao Niu (UTokyo), Masayuki Iwai (TDU) ASN2014-138 |
The design of power-saving and efficient routing algorithms under ideal environments is paid much attention on in the pr... [more] | ASN2014-138 pp.151-158 |
| MoNA, CQ (Joint) |
2014-09-11 13:45 |
Miyagi | PoC of co-created quality with users in communication networks Yuki Goto, Ryoichi Shinkuma (Kyoto Univ.), Hirotada Honda, Hideki Nojiri, Akira Takahashi (NTT), Tatsuro Takahashi (Kyoto Univ.) CQ2014-49 |
As various mobile applications in communication networks have been provided, the dominant factors for the quality of use... [more] | CQ2014-49 pp.59-62 |
|
| MI | 2013-07-18 10:35 |
Miyagi | Comparison of sparse non-directional graphical models on anatomical landmark distances by the Smoothly Clipped Absolute Deviation (SCAD) and the Graphical Lasso Shouhei Hanaoka (Univ. of Tokyo Hospital), Yoshitaka Masutani (Univ. of Tokyo Hospital/Univ. of Tokyo), Mitsutaka Nemoto, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi (Univ. of Tokyo Hospital), Kuni Ohtomo (Univ. of Tokyo Hospital/Univ. of Tokyo) MI2013-20 |
We have been developed an automatic detection system for anatomical landmarks in CT images. The system utilizes a multi... [more] | MI2013-20 pp.7-12 |
|
| MI | 2013-01-24 10:30 |
Okinawa | Bunka Tenbusu Kan | Construction of a sparse non-directional graphical model on anatomical landmark distances by the Graphical Lasso
-- Feasibility study for application to automatic landmark detection system -- Shouhei Hanaoka, Yoshitaka Masutani, Mitsutaka Nemoto, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo (Univ. of Tokyo) MI2012-64 |
We have been developed an automatic detection system for anatomical landmarks in CT images. The system utilizes a non-s... [more] | MI2012-64 pp.13-18 |
| MBE, NC (Joint) |
2012-11-17 14:55 |
Miyagi | Tohoku University | Design of probabilistic image inpainting filters using Gaussian graphial models Tomotaka Kitagawa, Muneki Yasuda, Kazuyuki Tanaka (Tohoku Univ.) NC2012-71 |
A probabilistic image inpainting lter is an image processing lter that reconstructs lost or deteriorated pixels of ima... [more] | NC2012-71 pp.57-62 |
| IBISML | 2012-11-07 15:30 |
Tokyo | Bunkyo School Building, Tokyo Campus, Tsukuba Univ. | Structure Learning for Anomaly Localization Satoshi Hara, Takashi Washio (Osaka Univ.) IBISML2012-36 |
In this paper, we propose a graphical model learning algorithm for an anomaly localization. We introduce a new regulariz... [more] | IBISML2012-36 pp.17-22 |
| IBISML | 2012-11-08 15:00 |
Tokyo | Bunkyo School Building, Tokyo Campus, Tsukuba Univ. | New Graphical Model: Firing Process Network
-- A Model with Easy Learning -- Kazuya Takabatake, Shotaro Akaho (AIST) IBISML2012-78 |
We propose a versatile multivariate probabilistic model that can easily learn its structure and parameters from a given ... [more] | IBISML2012-78 pp.311-318 |
| CQ | 2012-07-12 11:00 |
Ehime | Ehime Univ. | A Service Trigger Detection Mechanism Based on Geographical and Social Relations Takayuki Nishio, Ryoichi Shinkuma (Kyoto Univ.), Francesco De Pellegrini (CREATE-NET), Hiroyuki Kasai (UEC), Kazuhiro Yamaguchi (KDL), Tatsuro Takahashi (Kyoto Univ.) CQ2012-17 |
Context awareness is believed to be a key enabler for the new network service paradigm brought by cloud computing platfo... [more] | CQ2012-17 pp.1-4 |
| PRMU, MI, IE | 2012-05-17 13:00 |
Aichi | [Special Talk]
On Statistical Shape Model of Surface for Nonrigid Registration Hidekata Hontani (NIT) IE2012-21 PRMU2012-6 MI2012-6 |
A linear statistical shape model (SSM) is widely used for the non-rigid registration of a surface model. One can constru... [more] | IE2012-21 PRMU2012-6 MI2012-6 pp.31-32 |
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