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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLC | 2020-09-10 13:25 |
Online | Online | Potential Need Externalization and Data Utilization in Corona Related Confusion Teruaki Hayashi, Nao Uehara, Daisuke Hase, Yukio Ohsawa (UT)  NLC2020-6 |
The new coronavirus infection (COVID-19) has affected various industries in the real world, and breakdowns between syste... [more] | NLC2020-6 pp.24-27 |
| IMQ, HIP | 2019-07-19 15:55 |
Hokkaido | Satellite Campus, Sapporo City University | A Note on Eye Gaze Based User-specific Interest Estimation for Images
-- Performance Improvement Based on Decision Level Fusion -- Masanao Matsumoto, Naoki Saito, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ) IMQ2019-4 HIP2019-32 |
This paper presents an estimation method of user-specific interests for images. The proposed method computes projection... [more] |
IMQ2019-4 HIP2019-32 pp.17-20 |
| RCS, IT, SIP | 2016-01-19 11:50 |
Osaka | Kwansei Gakuin Univ. Osaka Umeda Campus | Transmit Power Optimization for Tree Networks Employing Data-fusion in End-nodes Longfei Zhou, Ikuo Oka, Shingo Ata (Osaka City Univ.) IT2015-83 SIP2015-97 RCS2015-315 |
In the preceding works on the tree networks composed of binary symmetric channel (BSC),the error probability of majority... [more] | IT2015-83 SIP2015-97 RCS2015-315 pp.191-195 |
| WBS, SAT (Joint) |
2015-05-29 10:05 |
Tokyo | Tokyo City Univ. (Setagaya Campus) | Error Probability Analysis for Data fusion of End-Nodes in Tree Networks Longfei Zhou, Ikuo Oka, Shingo Ata (Osaka City Univ.) SAT2015-7 |
In the preceding works on the tree networks composed of binary symmetric channel (BSC), the error probability of majorit... [more] | SAT2015-7 pp.37-41 |
| IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] | 2015-02-23 14:30 |
Hokkaido | Hokkaido Univ. | A Note on Accurate Image Classification Method of Image Sharing Sites Naoki Saito, Takahiro Ogawa (Hokkaido Univ.), Satoshi Asamizu (Kushiro-N.C.T), Miki Haseyama (Hokkaido Univ.) |
In this paper, we propose an accurate image classification method that integrates multiple classification results. In th... [more] | |
| IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] | 2015-02-23 11:30 |
Hokkaido | Hokkaido Univ. | A Note on Helicobacter Pylori Infection Detection from Gastric X-ray Images
-- Performance Comparison between Feature Fusion and Decision Level Fusion -- Kenta Ishihara, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In this paper, we examine the helicobacter pylori (H. pylori) infection detection method using a feature fusion scheme. ... [more] | |
| BioX (2nd) |
2013-08-28 10:00 |
Osaka | The Institute of Scientific and Industrial Research, Osaka Univ. | On Optimal Sequential Fusion in Biometric Identification Takao Murakami, Kenta Takahashi (Hitachi), Kanta Matsuura (Univ. Tokyo) |
Biometric identification systems can provide a very convenient way of authentication because they do not require a user ... [more] | |
| BioX (2nd) |
2012-08-28 13:30 |
Tokyo | Waseda Univ. Nishiwaseda Campus | Biometric Authentication System Based on Generalized Linear Mixed Model Yosuke Kaga, Kenta Takahashi, Takao Murakami, Osamu Takata, Hisao Sakazaki (Hitachi, Ltd.) |
Some biometric authentication methods based on multiple biometric information are proposed. In these conventional metho... [more] |
|
| MI | 2012-07-20 10:30 |
Yamagata | Yamagata Univ. | Automated segmentation of hip and thigh muscles from CT data based on hierarchical multi-atlas label fusion
-- An experimental study on the relationship between training set size and segmentation accuracy -- Mika Takaya, Futoshi Yokota (Kobe Univ.), Toshiyuki Okada, Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yukio Tada (Kobe Univ.), Noriyuki Tomiyama, Yoshinobu Sato (Osaka Univ.) MI2012-31 |
Segmentation of the musculo-skeletal from 3D images is needed for patient-specific musculo-skeletal simulation. We propo... [more] | MI2012-31 pp.53-58 |
| MI | 2012-01-19 11:20 |
Okinawa | Automated Musculoskeletal Segmentation from 3D CT Data of the Hip
-- Segmentation of 18 individual muscles and muscle groups using a small number of training datasets based on hierarchical spatial normalization -- Mika Takaya (Osaka Univ.), Futoshi Yokota (Kobe Univ.), Toshiyuki Okada, Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yukio Tada (Kobe Univ.), Noriyuki Tomiyama, Yoshinobu Sato (Osaka Univ.) MI2011-95 |
The objective of this study is an automatic segmentation of individual muscles and muscle groups of hip from 3D CT image... [more] | MI2011-95 pp.97-102 |
|
| MI | 2011-11-29 16:40 |
Hyogo | Univ. Hyogo (Portisland C.) | Automated Segmentation of Musculoskeletal from 3D CT Data of Hip
-- Hybrid Method of Multi-Atlas and Statistical Prediction -- Futoshi Yokota (Kobe Univ.), Toshiyuki Okada, Mika Takaya, Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yukio Tada (Kobe Univ.), Noriyuki Tomiyama, Yoshinobu Sato (Osaka Univ.) MI2011-75 |
Segmentation of the musculo-skeletal from 3D images is needed for patient-specific musculo-skeletal simulation. Our aim ... [more] | MI2011-75 pp.71-76 |
| PRMU, SP, MVE, CQ | 2010-01-22 14:50 |
Kyoto | Kyoto Univ. | Multimodal speech recognition using multimodal voice activity detection Satoshi Tamura, Masato Ishikawa, Takashi Hashiba, Shin'ichi Takeuchi, Satoru Hayamizu (Gifu Univ.) CQ2009-105 PRMU2009-204 SP2009-145 MVE2009-127 |
Audio-Visual Automatic Speech Recognition (AVASR) has been developed to enhance the robustness in noisy environments, us... [more] | CQ2009-105 PRMU2009-204 SP2009-145 MVE2009-127 pp.345-350 |
| IN | 2009-07-10 09:55 |
Hokkaido | HOKKAIDO UNIVERSITY | On Fair Bandwidth Allocation in Diffusion-type Flow Control Hirokazu Kariya, Wataru Iwasaki (Tokyo Metropolitan Univ.), Chisa Takano (Hiroshima City Univ.), Masaki Aida (Tokyo Metropolitan Univ.) IN2009-31 |
We have proposed ``diffusion-type flow control (DFC)'' as a control mechanism that satisfies a severe control delay dema... [more] | IN2009-31 pp.37-42 |
| PRMU | 2007-12-14 15:30 |
Hyogo | Kobe Univ. | Relationship Between Errors of Supplementary Information and Misrecognition Rates Yoshio Furuya, Masakazu Iwamura, Koichi Kise (Osaka Pref. Univ.), Shinichiro Omachi (Tohoku Univ.), Seiichi Uchida (Kyusyu Univ.) PRMU2007-152 |
Pattern recognition with supplementary information is a new pattern recognition framework that determines an output clas... [more] | PRMU2007-152 pp.95-100 |
| RCS, CS | 2005-01-28 09:00 |
Okinawa | University of the Ryukyus | Wireless Sensor Networks with Local Fusion Hiroshi Yamamoto, Tomoaki Ohtsuki (TUS) |
Wireless sensor networks consisting of small sensors, data processing,and communication ability have attracted much at... [more] |
CS2004-200 RCS2004-307 pp.101-106 |
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