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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SeMI, RCS, NS, SR, RCC (Joint) |
2019-07-10 13:50 |
Osaka | I-Site Nanba（Osaka） | [Encouragement Talk]
Utility-function modeling scheme for real-time prediction of spatial information Keiichiro Sato, Ryoichi Shinkuma, takehiro Sato, Eiji Oki (Kyoto Univ.), Takahiro Iwai, Takeo Onishi, Takahiro Nobukiyo, Dai Kanetomo, Kozo satoda (System platform Research Labs, NEC Corporation)  SeMI2019-21 |
Real-time prediction of spatial information has attracted a lot of attention.However, due to the strict limitation of ba... [more] | SeMI2019-21 pp.19-22 |
| SR | 2019-05-31 10:00 |
Tokyo | Tokyo Big Sight | [Technology Exhibit]
A study on evaluation method by smart phone application in WLAN channels Yoshinori Yahiro, Hiroto Ebisawa, Kenta Umebayashi (TUAT) SR2019-19 |
A smart phone application for wifi analysis is given as a tool to easily investigate the radio wave environment.In this ... [more] | SR2019-19 pp.113-118 |
| MoNA | 2019-01-17 09:40 |
Kyoto | T. B. D. | Modeling of Utility Function for Real-time Prediction of Spatiotemporal Information Keiichiro Sato, Ryoichi Shinkuma, Takehiro Sato, Eiji Oki (Kyoto Univ.), Takahiro Iwai, Takeo Onishi, Takahiro Nobukiyo, Dai Kanetomo, Kozo satoda (System platform Research Labs, NEC Corporation) MoNA2018-66 |
In recent years, real-time prediction of spatiotemporal information has attracted a lot of attention. It is expected th... [more] |
MoNA2018-66 pp.51-55 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2018-06-13 16:15 |
Okinawa | Okinawa Institute of Science and Technology | Enumeration of Distinct Support Vectors for Model Selection Kentaro Kanamori (Hokaido Univ.), Satoshi Hara (Osaka Univ.), Masakazu Ishihata (NTT), Hiroki Arimura (Hokaido Univ.) IBISML2018-12 |
In ordinary machine learning problems, the learning algorithm outputs a single model that optimizes its learning objecti... [more] | IBISML2018-12 pp.81-88 |
| MBE, NC (Joint) |
2018-03-14 11:15 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Evaluation of feature selection accuracy using sparse classification algorithm based on L0-norm optimization Naoki Ishibashi, Noriki Ito, Masashi Sato (UEC Tokyo), Yoshiyuki Kabashima (Tokyo Tech), Yoichi Miyawaki (UEC Tokyo/JST PRESTO) NC2017-91 |
Classification often suffers from overfitting if applied to a dataset of small sample size and high dimensionality. Dime... [more] | NC2017-91 pp.139-144 |
| PN | 2018-03-05 13:30 |
Kagoshima | Minami Tanemachi Shoko Kaikan | QoS Guaranteed Virtual Network Function Assignment using the Biological Attractor Selection Chiaki Hara, Mashito Mikuni, Kodai Yarita, Satoru Okamoto, Naoaki Yamanaka (Keio Univ.) PN2017-93 |
The network functions virtualization (NFV) becomes popular. Research of the service function chaining (SFC) which makes ... [more] | PN2017-93 pp.13-18 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2017-09-15 10:30 |
Tokyo | Experimental Analysis of Variational Bayesian Method in Model Selection of Gaussian Mixture Model by Singular Bayesian Information Criterion Naoki Hayashi (Tokyo Tech), Fumito Nakamura (Bosch) PRMU2017-41 IBISML2017-13 |
A Gaussian mixture model (GMM) is a statistical model used in various fields such a pattern recognition, thus, it is imp... [more] | PRMU2017-41 IBISML2017-13 pp.19-26 |
|
| IBISML | 2017-03-06 14:30 |
Tokyo | Tokyo Institute of Technology | Degrees of freedom in submodular regularization Kentaro Minami, Fumiyasu Komaki (The University of Tokyo) IBISML2016-102 |
We study two classes of convex regularization related to submodular functions, which we call the submodular regularizati... [more] | IBISML2016-102 pp.17-24 |
| SP, SIP, EA | 2017-03-01 12:40 |
Okinawa | Okinawa Industry Support Center | [Poster Presentation]
Dual-Sparsification of Kernel Regression Based on Sampling Atsushi Kojima, Toshihisa Tanaka (TUAT) EA2016-102 SIP2016-157 SP2016-97 |
When the input pattern have redundant features in regression analysis or pattern recognition, the prediction accuracy is... [more] | EA2016-102 SIP2016-157 SP2016-97 pp.115-118 |
| RCS, SR, SRW (Joint) |
2017-03-01 14:00 |
Tokyo | Tokyo Institute of Technology | Network Selection Scheme Using Positioning Information for Heterogeneous Wireless System: Proposal of Traffic Relay Qinhan Liu, Kohei Akimoto, Suguru Kameda, Noriharu Suematsu (Tohoku Univ.) SR2016-93 |
Heterogeneous wireless systems such as a combination of mobile broadband wireless access (MBWA) and wireless local area ... [more] | SR2016-93 pp.15-20 |
| IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] | 2017-02-20 16:00 |
Hokkaido | Hokkaido Univ. | A note on estimating human emotion evoked by visual stimuli using fNIRS signals Kento Sugata, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a method that estimates human emotion evoked by visual stimuli using functional near-infrared spectr... [more] | |
| SR | 2017-01-19 13:25 |
Ehime | Himegin Hall | Evaluation of Potential Game-based Channel Selection in Dense CSMA Networks for Throughput Starvation Mitigation Bo Yin, Shotaro Kamiya, Koji Yamamoto (Kyoto Univ.), Hirantha Abeysekera (NTT) SR2016-79 |
This paper formulates a potential game framework of a distributed channel selection scheme. The proposed channel selecti... [more] | SR2016-79 pp.5-10 |
| EA, ASJ-H | 2016-08-09 13:00 |
Miyagi | Tohoku Gakuin Univ., Tagajo Campus | Estimation of forced-selection speech intelligibility by comparing objective measures between candidate words Kazuhiro Kondo (Yamagata Univ.) EA2016-20 |
We proposed an estimation method for forced pairwise selection speech intelligibility test that takes into account the f... [more] | EA2016-20 pp.1-6 |
| RCS, RCC, ASN, NS, SR (Joint) |
2016-07-22 09:00 |
Aichi | Computationally Efficient Spectrum Sensing Based on Cyclostationarity Detection in Cognitive Radio Shusuke Narieda (NIT, Akashi College) SR2016-49 |
This paper presents a computationally efficient cyclostationarity detection based spectrum sensing in cognitive radio. T... [more] | SR2016-49 pp.97-102 |
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| NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] | 2016-07-05 13:00 |
Okinawa | Okinawa Institute of Science and Technology | Non-linear Embedded Feature Extraction Method using Comb-shaped Neural Network Akihito Sudo (UT), Tomoyuki Higuchi, Shin'ya Nakano, Masaya Saito (ISM), Takahiro Yabe, Yoshihide Sekimoto (UT) IBISML2016-1 |
Feature selection methods can be divided into three categories; wrapper methods, filter methods, and embedded methods. E... [more] | IBISML2016-1 pp.127-131 |
| MoNA, IPSJ-MBL, IPSJ-DPS | 2015-05-29 13:40 |
Okinawa | Miyakojima Marine Terminal | Evaluation of the Algorithm for Estimating the Performance of WLAN Systems with Various Urban Scenarios Shugo Kajita, Hirozumi Yamaguchi, Teruo Higashino (Osaka Univ.), Shigeki Umehara, Fumiya Saitou, Hirofumi Urayama, Masaya Yamada (Sumitomo Electric), Taka Maeno, Shigeru Kaneda (Space-Time Engineering), Mineo Takai (Space-Time Engineering/California Univ.) MoNA2015-5 |
This paper presents a method to estimate the performance of WLAN systems in urban areas.We consider (i) inter-channel in... [more] | MoNA2015-5 pp.189-194 |
| NS | 2014-05-16 11:15 |
Yamanashi | Yamanashi Univ. | Wi-Fi Congestion Detection based on Probe Traffic using WMM Junichi Suga, Yuji Kojima, Takeshi Kawasaki, Ryuichi Takechi (Fujitsu Labs) NS2014-37 |
An accurate Wi-Fi congestion detection is essential for the wireless access selection between Cellular and Wi-Fi taking ... [more] | NS2014-37 pp.75-77 |
| NC, MBE (Joint) |
2014-03-18 13:00 |
Tokyo | Tamagawa University | Model selection of NiGa_2S_4 triangular lattice by Bayesian estimation Hikaru Takenaka, Kenji Nagata, Takashi Mizokawa (Univ. of Tokyo), Masato Okada (Univ. of Tokyo/RIKEN) NC2013-107 |
The superexchange interaction, which favors parallel or anti-parallel alignment of electron spins in magnets, has an imp... [more] | NC2013-107 pp.109-114 |
| NC, MBE (Joint) |
2014-03-18 13:40 |
Tokyo | Tamagawa University | Computational validation of the information criterion WBIC by the exchange Monte Carlo method Satoru Tokuda, Kenji Nagata (Univ. of Tokyo), Sumio Watanabe (Tokyo Inst. of Tech.), Masato Okada (Univ. of Tokyo/RIKEN) NC2013-109 |
In the models with hierarchy like artificial neural networks and mixture models, asymptotic normality, which AIC and BIC... [more] | NC2013-109 pp.121-126 |
| LOIS | 2014-03-07 11:15 |
Okinawa | Latent Preference Estimation Method for Photo Viewers Using Vital Reaction Tomoyo Komatsu, Yumiko Nagatake, Akihisa Kodate (Tsuda Coll.), Manabu Motegi, Atsushi Fukayama, Michio Shimomura (NTT) LOIS2013-57 |
In recent years, rapid diffusion of high-performance smart phones and digital cameras with built-in wifi capabilities ha... [more] | LOIS2013-57 pp.17-22 |
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