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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 |
| 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 |
| 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 |
| 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 |
| 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 |
| MI | 2013-11-07 15:20 |
Hiroshima | Image Segmentation for NBI Endoscopy Image Tsubasa Hirakawa, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Tetsushi Koide, Yoko Kominami, Rie Miyaki, Taiji Matsuo, Shigeto Yoshida, Shinji Tanaka (Hiroshima Univ.) MI2013-53 |
In this paper, we propose a texture image segmentation method by using SVM posterior probabilities with a Markov Random ... [more] | MI2013-53 pp.39-43 |
|
| PRMU | 2013-03-15 11:15 |
Tokyo | Recognition of Block World from Monocular Single Image Considering Spatial Relationship between Blocks Daichi Tanii, Hotaka Takizawa (Univ. of Tsukuba) PRMU2012-213 |
In this report, we propose a method of recognizing block scenes from monocular images. Block-like objects are represente... [more] | PRMU2012-213 pp.199-204 |
|
| PRMU | 2013-03-15 14:45 |
Tokyo | Segmentation-free MRF Recognition Method in Combination with P2DBMN-MQDF for Online Handwritten Cursive Word Bilan Zhu (Tokyo Univ. of Agriculture and Tech.), Arti Shivram, Srirangaraj Setlur, Venu Govindaraju (Univ. at Buffalo), Masaki Nakagawa (Tokyo Univ. of Agriculture and Tech.) PRMU2012-216 |
This paper describes an online handwritten English cursive word recognition method using a segmentation-free Markov rand... [more] | PRMU2012-216 pp.213-218 |
|
| NC, MBE (Joint) |
2012-12-12 15:40 |
Aichi | Toyohashi University of Technology | Distribution estimation of hyperparameters in Markov random field model Yoshinori Ohno, Kenji Nagata (Univ. Tokyo), Hayaru Shouno (UEC), Masato Okada (Univ. Tokyo/RIKEN) NC2012-86 |
Recent advances in measurement techniques allow us to obtain a large quantity of imaging data in various natural science... [more] | NC2012-86 pp.55-60 |
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