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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, MVE, VRSJ-SIG-MR, IPSJ-CVIM | 2024-01-25 10:03 |
Kanagawa | Keio Univ. (Hiyoshi Campus) | Estimation of 3D Coordinates of Fingertips using Contrastive Embeddings from Hand Images Tatsuya Abe, Takeshi Umezawa, Noritaka Osawa (Chiba Univ.)  PRMU2023-40 |
This study evaluated a method for estimating the 3D coordinates of fingertips from hand images when manipulating objects... [more] | PRMU2023-40 pp.7-12 |
| PRMU, IPSJ-CVIM, IPSJ-DCC, IPSJ-CGVI | 2023-11-16 16:50 |
Tottori | (Primary: On-site, Secondary: Online) |
Understanding level estimation using similarities between users' understanding expression patterns Yuki Kitagishi, Naohiro Tawara, Atsunori Ogawa, Taichi Asami (NTT), Tomoko Yonezawa (Kansai Univ.) PRMU2023-26 |
We define three-degree understanding levels of low/neutral/high as an audience member looks like they are understanding ... [more] | PRMU2023-26 pp.56-61 |
| SR | 2020-11-18 10:50 |
Online | Online | Automatic Modulation Recognition Method Using Two-Stage Deep Learning Kaoru Kishimoto, Kiyohiko Takahashi, Taichi Ohtsuji, Toshiki Takeuchi, Shigeyuki Kurahashi (NEC) SR2020-24 |
Automatic modulation recognition method could be applied to dynamic spectrum sharing, estimating communication method of... [more] | SR2020-24 pp.10-16 |
| MI, IE, SIP, BioX, ITE-IST, ITE-ME [detail] | 2020-05-28 10:50 |
Online | Online | [Special Talk]
High-dimensional Signal Restoration by Convolutional Networks Driving Fusion Across Multiple Disciplines
-- Sparse Modeling and Convolutional Dictionary Learning -- Shogo Muramatsu (Niigata Univ.) |
This talk outlines a restoration process of high-dimensional signals such as image and volumetric data. With the develop... [more] | |
| IPSJ-SLDM, RECONF, VLD, CPSY, IPSJ-ARC [detail] | 2020-01-22 17:45 |
Kanagawa | Raiosha, Hiyoshi Campus, Keio University | An FPGA Implementation of Monocular Depth Estimation Youki Sada, Masayuki Shimoda, Shimpei Sato, Hiroki Nakahara (titech) VLD2019-66 CPSY2019-64 RECONF2019-56 |
Among a lot of image recognition applications, Convolutional Neural Network (CNN) has gained high accuracy and increasin... [more] | VLD2019-66 CPSY2019-64 RECONF2019-56 pp.73-78 |
| WBS, ITS, RCC | 2018-12-06 13:00 |
Okinawa | Miyako Island Hirara Port Terminal Bldg. | [Poster Presentation]
Moving Sensor Detectable Code by Color Marker for Vehicle Position Estimate Technique Daiki Sakakibara, Haruki Kawanaka (Aichi Pref Univ.), Shintaro Ono (Tokyo Univ.), Yasuharu Asai (KICTEC), Koji Oguri (Aichi Pref Univ.) WBS2018-41 ITS2018-24 RCC2018-72 |
As a kind of vehicle positioning system, a method to recognize some coded patterns that are set on a road surface or on ... [more] | WBS2018-41 ITS2018-24 RCC2018-72 pp.75-80 |
| CCS | 2018-11-23 14:55 |
Hyogo | Kobe Univ. | Hypernetwork-based Implicit Posterior Estimation of CNN Kenya Ukai, Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) CCS2018-45 |
Deep neural networks have a rich ability to learn complex representations and achieved remarkable results in various tas... [more] | CCS2018-45 pp.67-72 |
| BioX | 2017-10-13 09:00 |
Okinawa | Nobumoto Ohama Memorial Hall | A Study of Parameter Estimation of False Accept Rate for Biometric Performance Evaluation Shigefumi Yamada, Takahiro Aoki, Takashi Shinzaki (FUJITSU LABS.) BioX2017-31 |
Evaluations of biometric performance are performed by using biometric dataset actually collected from subjects being tes... [more] | BioX2017-31 pp.33-37 |
| IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] | 2017-02-20 15:30 |
Hokkaido | Hokkaido Univ. | A note on estimation of users' emotion evoked during listening to music
-- Performance improvement base on fusion of multiple estimation results -- Boxiao Duan, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper precent estimation of users' emotion evoked during listening to music. In our method, we focus on RUSBagging ... [more] | |
| BioX | 2016-08-18 13:30 |
Miyagi | A Study of Estimation of False Accept Rate for Biometric Performance Evaluation Shigefumi Yamada, Shinzaki Takashi (FUJITSU LAB.) BioX2016-7 |
Evaluations of biometric performance are performed by using biometric dataset actually collected from subjects being tes... [more] | BioX2016-7 pp.1-5 |
|
| PRMU, IBISML, IPSJ-CVIM [detail] | 2015-09-15 10:00 |
Ehime | Recognition of Customer Behavior on the Front of Shelf from Surveillance Camera Jingwen Liu, Yanlei Gu, Shunsuke Kamijo (Univ. of Tokyo) PRMU2015-82 IBISML2015-42 |
The analysis of customer behavior from surveillance camera is one of the most important open topics for marketing. We pr... [more] | PRMU2015-82 IBISML2015-42 pp.97-102 |
|
| SP | 2015-08-21 15:05 |
Iwate | Iwate Prefectural Univ. | Spoken Term Detection based on Phoneme Error Pattern Training using DNN Naoki Sawada, Hiromitsu Nishizaki (Univ. of Yamanashi) SP2015-56 |
This report describes a novel spoken term detection framework based on a Deep Neural Network (DNN)-based correct phoneme... [more] | SP2015-56 pp.33-38 |
| SR, AN, USN, RCS (Joint) |
2012-10-19 10:25 |
Fukuoka | Fukuoka univ. | A Novel Double Detection Communication Range Recognition Method for Indoor Position Estimation in Passive RFID Systems Manato Fujimoto, Atsuki Inada, Tomotaka Wada (Kansai Univ.), Kouichi Mutsuura (Shinshu Univ.), Hiromi Okada (Kansai Univ.) USN2012-47 |
Radio Frequency IDentification (RFID) systems have become popular as a new identification source that is applicable in u... [more] | USN2012-47 pp.107-112 |
| SP, IPSJ-SLP (Joint) |
2012-07-20 12:00 |
Yamagata | Hotel Takinoyu (Yamagata Pref.) | Study on Time Adaptive Noise Estimation using Environmental Images for Speech Recognition Hitoshi Fujibayashi, Hiroki Imamura (Soka Univ.) SP2012-53 |
Speech recognition has a problem that background noise degrades the recognition performance. Spectral subtraction as a n... [more] | SP2012-53 pp.19-22 |
| EA, SP, SIP | 2012-05-25 16:00 |
Osaka | Osaka Univ. Nakanoshima Center | Evaluation and analysis of speaking-style in reverberant speech recognition performance Takahiro Fukumori, Masato Nakayama, Masanori Morise, Takanobu Nishiura, Yoichi Yamashita (Ritsumeikan Univ.) EA2012-31 SIP2012-31 SP2012-31 |
In recent years, a hands-free speech device has been developed with improving speech recognition techniques. The reverbe... [more] | EA2012-31 SIP2012-31 SP2012-31 pp.179-184 |
| IBISML | 2011-03-29 15:30 |
Osaka | Nakanoshima Center, Osaka Univ. | Asymptotic Analysis of the Estimators in Regression Analysis and the Application to Machine Learning Takanori Ayano (Osaka Univ.) IBISML2010-109 |
In machine learning, the method of regression analysis is very important. In this presentation, we will state the rate o... [more] | IBISML2010-109 pp.37-40 |
| CS, IPSJ-AVM, ITE-BCT, IE [detail] | 2010-12-03 10:50 |
Kyoto | Nagoya Univ | Visual Odometry based on De-correlation of Color Components of Video Yasuaki Fukutani, Katsuya Aihara, Masahiro Iwahashi (Nagaoka Univ. Tech.) CS2010-64 IE2010-103 |
The “odometry” based on GPS and IMU have been developed for various applications. Recently, the “visual odometry” has be... [more] | CS2010-64 IE2010-103 pp.107-112 |
| SP, EA, SIP | 2010-05-26 13:50 |
Hyogo | Konan Univ. (Hirao Seminar House) | An Evaluation of the performance estimation of reverberant speech recognition with reverberant criteria, RSR-Dn Takahiro Fukumori, Masanori Morise, Takanobu Nishiura (Ritsumeikan Univ.) EA2010-3 SIP2010-3 SP2010-3 |
As no common reverberation criteria for the recognition of reverberant-speech have been proposed, it has been difficult ... [more] | EA2010-3 SIP2010-3 SP2010-3 pp.13-18 |
| SP | 2009-07-18 09:50 |
Fukushima | Speaking Style Classification of Spontaneous Speech Using Multiple-Regression HMM Takashi Nose, Takeshi Matsubara, Yusuke Ijima, Takao Kobayashi (Tokyo Inst. of Tech.) SP2009-46 |
This paper describes speaking style classification and speech recognition for spontaneous speech based on multiple-regre... [more] | SP2009-46 pp.31-36 |
|
| SP, NLC | 2008-12-09 14:10 |
Tokyo | Waseda Univ. | Acoustic Model Training Technique for Speech Recognition using Style Estimation with Multiple-Regression HMM Yusuke Ijima, Makoto Tachibana, Takashi Nose, Takao Kobayashi (Tokyo Tech) NLC2008-30 SP2008-85 |
We propose a technique for emotional speech recognition based on multiple-regression HMM (MRHMM). To achieve emotional s... [more] | NLC2008-30 SP2008-85 pp.37-42 |
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