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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IBISML | 2020-10-20 10:50 |
Online | Online | System operation for estimation of road condition using tire vibration data Satoru Kawamata (Bridgestone), Tomoko Matsui (ISM), Mitsuhiro Nishida, Takeshi Masago (Bridgestone)  IBISML2020-10 |
In a system that estimates the road surface condition from tire sensor data and supports safe driving, it is crucial to ... [more] | IBISML2020-10 pp.14-19 |
| PRMU, IPSJ-CVIM | 2020-03-17 17:05 |
Kyoto | (Cancelled but technical report was issued) |
Experimental Evaluation on Bayes Error Estimation Capability of Kernel Minimum Classification Error Training Koji Yamada (Doshisha Univ.), Hideyuki Watanabe (ATR), Shigeru Katagiri, Miho Ohsaki (Doshisha Univ.) PRMU2019-100 |
A pattern classifier incorporating kernel mapping, which is trained by the Kernel Minimum Classification Error (KMCE) tr... [more] | PRMU2019-100 pp.237-242 |
| IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-05 14:45 |
Fukuoka | Kyushu Institute of Technology (Cancelled but technical report was issued) |
Typicality evaluation of food-type specific presentation Masamu Nakamura, Yasutomo Kawanishi (Nagoya Univ.), Keisuke Doman (Chukyou Univ.), Takatsugu Hirayama, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase (Nagoya Univ.) IMQ2019-49 IE2019-131 MVE2019-70 |
We propose a method to evaluate the typicality of a food presentation within its food-type for supporting cooking recipe... [more] | IMQ2019-49 IE2019-131 MVE2019-70 pp.171-176 |
| NLP, NC (Joint) |
2020-01-24 10:30 |
Okinawa | Miyakojima Marine Terminal | Visualization of Relational data by Embedding to Direct Product Space Kazuki Miyazaki, Ryuji Watanabe, Tetsuo Furukawa (Kyutech) NC2019-63 |
The aim of this work is to develop a modeling method of relational data. Relational data is a dataset observed obtained ... [more] | NC2019-63 pp.23-26 |
| RISING (2nd) |
2019-11-27 13:55 |
Tokyo | Fukutake Learning Theater, Hongo Campus, Univ. Tokyo | [Poster Presentation]
Reducing TCP Errors in Wi-Fi enabled Accelerated Android Ryosuke Onozato, Saneyasu Yamaguchi (Kogakuin Univ.), Akira Fukuda, Takeshi Kamiyama (Kyushu Univ.), Masato Oguchi (Ochanomizu Univ.) |
In our previous work, we proposed a method for virtually increasing the speed of time in an Android system. However, thi... [more] | |
| IA | 2019-09-05 14:30 |
Hokkaido | Hokkaido Univ. Humanities and Social Sciences Classroom Bldg, W102 | Applying Storm control to Linux kernel and the performance evaluation Ryusei Shiiba (Keio Univ.), Ryo Nakamura, Yohei Kuga (Tokyo Univ.), Shigeya Suzuki (Keio Univ.) IA2019-11 |
Linux is not only used for a general-purpose operating system(OS), but also comes to be used for an OS for switches and... [more] |
IA2019-11 pp.7-10 |
| R | 2019-06-14 15:30 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Identification comparison of software fault-prone modules using nonlinear logistic regression models Kazunari Yamanaka, Tadashi Dohi, Hiroyuki Okamura (Hiroshima U.) R2019-12 |
In this article, we compare several non-linear logistic regression models used in a fault-prone identification problem... [more] |
R2019-12 pp.19-24 |
| EA, SIP, SP | 2019-03-14 13:30 |
Nagasaki | i+Land nagasaki (Nagasaki-shi) | [Poster Presentation]
Snore sound identification using noise suppression and multi-class classification under real environments Keisuke Nishijima, Ken'ichi Furuya (Oita Univ.) EA2018-106 SIP2018-112 SP2018-68 |
In the conventional snore sound identification method, there is an issue that performance deteriorates when identifying ... [more] | EA2018-106 SIP2018-112 SP2018-68 pp.43-48 |
| EMM | 2019-03-13 14:05 |
Okinawa | TBD | [Poster Presentation]
A privacy preserving culculation method of eigenface using EtC images Masaki Kitayama, Hitoshi Kiya (Tokyo Metro. Univ.) EMM2018-91 |
In this paper, we propose a face recognition scheme using eigenface and kernel eigenface with EtC (Encryption-then-Compr... [more] | EMM2018-91 pp.1-6 |
| RCS, SR, SRW (Joint) |
2019-03-08 09:50 |
Kanagawa | YRP | A Study on Joint Probability Distribution Property of Busy/Idle Duration and its Impact on the Performance of Auto-regressive Based Predictor over Real Environmental Channel Yafei Hou (Okayama Univ.), Kazuto Yano (ATR), Satoshi Denno (Okayama Univ.), Yoshinori Suzuki (ATR) SR2018-137 |
For improving the spectrum efficiency (SE), one of efficient methods is allocating multiple bands for simultaneous wirel... [more] | SR2018-137 pp.89-96 |
| PRMU, CNR | 2019-03-01 11:40 |
Tokushima | A study on pigs tracking system using object tracking method with learning function Yoshimi Koto, Ryusei Chibu, Hiroki Tamura, Koichi Tanno (Miyazaki Univ.) PRMU2018-129 CNR2018-52 |
In recent years, due to the growing demand of pork, the large scale pig farmers are increasing. From this reason, the bu... [more] | PRMU2018-129 CNR2018-52 pp.83-88 |
|
| ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] | 2019-02-20 13:45 |
Hokkaido | Hokkaido Univ. | A Note on Eye Gaze-based Estimation of Emotion Evoked by Watching Images
-- Performance Improvement via Feature Transformation Based on KDLPCCA -- Taiga Matsui, Naoki Saito, Takahiro Ogawa (Hokkaido Univ.), Satoshi Asamizu (NIT, Kushiro College), Miki Haseyama (Hokkaido Univ.) |
This paper presents an estimation method for emotion evoked by watching images focused on non-linear correlations of bet... [more] | |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
Parameter Density Inheritance Using Kernel Density Estimation for Efficient CNN Learning Keisuke Horiuchi, Keisuke Kameyama (Tsukuba Univ.) IBISML2018-45 |
CNNs have shown state-of-the-art performances on a large variety of classification tasks. However, because of its comple... [more] | IBISML2018-45 pp.9-15 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
A Fast Approximation of the Nadaraya-Watson Regression with the k-Nearest Neighbor Crossover Kernel Toshio Ito, Naoki Hamada, Kotaro Ohori, Hiroyuki Higuchi (FUJITSU LAB) IBISML2018-46 |
For a system with inputs and outputs, a nonparametric regression has been proposed to clarify the relationship between i... [more] | IBISML2018-46 pp.17-21 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
Discovery of Governing equations in Reproducing Kernel Hilbert space Yosuke Otsubo (Nikon), Shinichi Nakajima (TUB/RIKEN) IBISML2018-65 |
It has great value in lots of scientific fields, e.g., physics, chemistry, and biology, to discover governing equations ... [more] | IBISML2018-65 pp.159-166 |
| IEE-CMN, EMM, LOIS, IE, ITE-ME [detail] | 2018-09-28 13:40 |
Oita | Beppu Int'l Convention Ctr. aka B-CON Plaza | Study on speech representation for speech fingerprint using perceptual matching-pursuit algorithm Dung Kim Tran, Huy Quoc Nguyen, Masashi Unoki (JAIST) LOIS2018-20 IE2018-40 EMM2018-59 |
Recent studies have revealed the weakness of audio fingerprinting methods in speech signals. The problem is that spectro... [more] | LOIS2018-20 IE2018-40 EMM2018-59 pp.71-76 |
| SIP, EA, SP, MI (Joint) [detail] |
2018-03-19 14:45 |
Okinawa | Optimization of Gaussian Kernel Parameters for Kernel Logistic Regression Kosuke Fukumori, Tomoya Wada, Toshihisa Tanaka (TUAT) EA2017-135 SIP2017-144 SP2017-118 |
The kernel logistic regression is a nonlinear classification model that effectively uses kernel methods, which are one o... [more] | EA2017-135 SIP2017-144 SP2017-118 pp.185-190 |
|
| SS, MSS | 2018-01-18 12:45 |
Hiroshima | Verification of an Approach to Find Determiner Set of Graphs Koki Tanaka, Takafumi Goto, Mituru Nakata (Yamaguchi Univ.), Chiranut Sa-ngiamsak (Khon Kaen Univ.), Qi-Wei Ge (Yamaguchi Univ.) MSS2017-51 SS2017-38 |
An automorphism of graph G=(V,E) is such a one-to-one correspondence from the vertex set V to itself that adjacency of t... [more] | MSS2017-51 SS2017-38 pp.25-30 |
|
| MBE, NC (Joint) |
2017-11-24 16:50 |
Miyagi | Tohoku University | NC2017-32 |
Continuous latent variable model is a category of dimension reduction methods, which estimates low dimensional latent va... [more] | NC2017-32 pp.29-34 |
| IBISML | 2017-11-09 13:00 |
Tokyo | Univ. of Tokyo | Efficient modal regression using gradient ascent and descent method Ryoya Yamasaki, Toshiyuki Tanaka (Kyoto Univ.) IBISML2017-57 |
Nonparametric modal regression is a method for regression analysis, which can estimate local maxima of the conditional p... [more] | IBISML2017-57 pp.169-176 |
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