| IEICE Technical Committee Submission System Conference Schedule |
Online Proceedings [Sign in] Tech. Rep. Archives |
All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| ICM, NS, CQ, NV (Joint) |
2023-11-21 12:50 |
Ehime | Ehime Prefecture Gender Equality Center (Primary: On-site, Secondary: Online) |
Probabilistic Estimation of Millimeter Signal Communication Conditions in Private 5G Environments Daiki Kodama, Kenji Ohira, Hideyuki Shimonishi (Osaka Univ.), Toshiro Nakahira, Daisuke Murayama, Tomoaki Ogawa (former NTT)  CQ2023-43 |
In Cyber-Physical Systems (CPS), to improve the reliability of wireless communication, it is important to design the sys... [more] | CQ2023-43 pp.32-37 |
| NS, NWS (Joint) |
2023-01-26 11:20 |
Yamaguchi | Hybrid Meeting (Yamaguchi Prefecture) (Primary: On-site, Secondary: Online) |
Estimation of wi-fi signal condition in indoor environment for digital twin construction Daiki Kodama, Hiromu Honda, Techasarntikul Nattaon, Tomoki Yosihisa, Hideyuki Shimonishi (Osaka Univ.) NS2022-152 |
In cyber-physical systems (CPS) where humans and robots coexist, the safety and reliability of wireless communication ar... [more] | NS2022-152 pp.13-18 |
| 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 |
| ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2020-02-27 16:20 |
Hokkaido | Hokkaido Univ. (Cancelled but technical report was issued) |
[Special Talk]
Neighbor-Aware Approaches for Pixel Labeling Ryosuke Furuta (TUS), Naoto Inoue, Toshihiko Yamasaki (UT) ITS2019-45 IE2019-83 |
Pixel labeling is one of the most classical and important problems in the field of computer vision because it has a vari... [more] | ITS2019-45 IE2019-83 p.239 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
Development of the topology-preserving image alignment based on a local deformation of kernel density function Masataka Watajima (KIT), Sayuri Kuge, Takeshi Ishihara (KU), Yuichi Iino (UT), Ryo Yoshida (ISM), Terumasa Tokunaga (KIT) IBISML2018-55 |
Image alignment or image registration is a process for aligning two or more images into a common coordinate system. Many... [more] | IBISML2018-55 pp.83-90 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
Lattice Model Selection of Gaussian Markov Random Field Hirosato Ito, Hirotaka Sakamoto, Shun Katakami, Masato Okada (Univ. Tokyo) IBISML2018-69 |
Recently, many observed images have been obtained in various natural scientific fields. It is very important issue to e... [more] | IBISML2018-69 pp.191-196 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
Hyperparameter distribution estimation for binary images with the exchange Monte Carlo method Koki Obinata, Shun Katakami, Yue Yonghao, Masato Okada (UTokyo) IBISML2018-79 |
We estimate the distribution of hyperparameters corresponding to the coupling constant and noise in- tensity from an Isi... [more] | IBISML2018-79 pp.263-270 |
| IBISML | 2017-11-09 13:00 |
Tokyo | Univ. of Tokyo | Calculation method for grid-structured markov random field using corner transfer matrix renormalization group Tomoharu Yoshida, Kazuho Watanabe, Kyoji Umemura (Toyohashi Univ. of Tech.) IBISML2017-37 |
Calculating the marginal distribution of the grid-structured markov random field model in probabilistic image processing... [more] | IBISML2017-37 pp.15-22 |
| IBISML | 2017-11-10 13:00 |
Tokyo | Univ. of Tokyo | Approximated hyperparameter distribution estimation using Gaussian process and Bayesian optimization Shun Katakami, Hirotaka Sakamoto, Masato Okada (UTokyo) IBISML2017-81 |
In order to reduce the computational cost of Bayesian inference, we propose a method to estimate the Bayesian posterior ... [more] | IBISML2017-81 pp.333-338 |
| 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 |
| IBISML | 2017-03-06 14:00 |
Tokyo | Tokyo Institute of Technology | Exact calculation of grid-structured Markov random field model by corner transfer matrix method Tomoharu Yoshida, Kazuho Watanabe, Kyoji Umemura (Toyohashi Univ. of Tech.) IBISML2016-101 |
Calculating the marginal distribution of the grid-structured Markov random field model in probabilistic image processing... [more] | IBISML2016-101 pp.9-16 |
| IBISML | 2016-11-17 14:00 |
Kyoto | Kyoto Univ. | Gaussian Markov random field model without periodic boundary conditions Shun Katakami, Hirotaka Sakamoto, Shin Murata, Masato Okada (UTokyo) IBISML2016-83 |
In this study, we discuss Gaussian Markov random field model without periodic boundary conditions. First, we formulate a... [more] | IBISML2016-83 pp.267-274 |
| SIP | 2016-08-26 09:45 |
Chiba | Chiba Institute of Technology, Tsudanuma Campus | Proposal of an MRF-based image segmentation with automatic model parameter estimation Yoshihiko Toya, Hiroyuki Kudo (Univ. of Tsukuba) SIP2016-78 |
This paper deals with the segmentation of the image which consists of constant-density background and foreground with no... [more] | SIP2016-78 pp.27-31 |
| ITS, IE, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] | 2016-02-23 10:15 |
Hokkaido | Hokkaido Univ. | Refinement of Multi-Label Classification Results using Class Relations Based on Higher-Order MRF Ryosuke Furuta, Yusuke Fukushima, Toshihiko Yamasaki, Kiyoharu Aizawa (UT) ITS2015-76 IE2015-118 |
In multi-label classi cation problems, in which multiple labels are estimated for an input data, the simplest way is to ... [more] | ITS2015-76 IE2015-118 pp.241-246 |
| SANE | 2015-11-26 13:00 |
Miyagi | Tohoku University, Katahira Sakura Hall | [Special Talk]
Advanced Neural Adaptive Processing in Interferometric and Polarimetric Radar Imaging Akira Hirose (Tokyo Univ.) SANE2015-64 |
This special talk, given in part as IEEE Geoscience and Remote Sensing Society (GRSS) local-language Distinguished Lectu... [more] | SANE2015-64 pp.1-6 |
| IBISML | 2015-11-26 15:00 |
Ibaraki | Epochal Tsukuba | [Poster Presentation]
Learning Structure of Partial Markov Random Field via Partitioned Ratio Song Liu (ISM), Taiji Suzuki (Tokyo Tech.), Masashi Sugiyama (UTokyo), Kenji Fukumizu (ISM) IBISML2015-72 |
A new concept, partitioned ratio is proposed to find the partial connectivity of the Markov random field. First we argue... [more] | IBISML2015-72 pp.147-151 |
| NC, MBE | 2015-03-17 13:25 |
Tokyo | Tamagawa University | Effects of downsampling on hyperparameter estimation for Markov random field model Hirotaka Sakamoto (Univ. Tokyo), Yoshinori Nakanishi-Ohno (Univ. Tokyo/JSPS), Masato Okada (Univ. Tokyo/RIKEN) MBE2014-174 NC2014-125 |
We investigate effects which downsampling has on latent-variable estimation from image data. Downsampling is essential f... [more] | MBE2014-174 NC2014-125 pp.325-330 |
| PRMU | 2014-06-20 14:45 |
Tokyo | An experiment of Text/Non-text Classification using Conditional Random Fields for Japanese Online Handwritten Japanese Ink Documents Soichiro Inatani, Truyen Van Phan, Masaki Nakagawa (Tokyo Univ. of Agri. & Tech.) PRMU2014-34 |
In this paper, we propose the method based on Conditional Random fields (CRF) for separating text and non-text ink strok... [more] | PRMU2014-34 pp.73-78 |
|
| 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] | |
| MI | 2014-01-26 10:30 |
Okinawa | Bunka Tenbusu Kan | Exact solution method for MRF model-based image segmentation based on continuous optimization
-- Application to abdominal CT image and performance evaluation -- Takahiro Tayama, Hiroyuki Kudo, Hotaka Takizawa (Univ. of Tsukuba) MI2013-58 |
The medical image segmentation helps physicians to find diseased internal organs to perform the computer aided diagnosis... [more] | MI2013-58 pp.13-18 |
[Return to Top Page]