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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NS, SR, RCS, SeMI, RCC (Joint) |
2022-07-15 13:40 |
Ishikawa | The Kanazawa Theatre + Online (Primary: On-site, Secondary: Online) |
Performance Analysis of a Link Symmetry Confirmation Method in Backoff-based Opportunistic Routing Takuma Yamazaki (SIT), Eri Hosonuma (UT), Taku Yamazaki, Takumi Miyoshi, Thomas Silverston (SIT)  NS2022-57 |
Backoff-based opportunistic routing autonomously selects a forwarder based on a random backoff time using hop counts. Ho... [more] | NS2022-57 pp.147-150 |
| RCS, SR, SRW (Joint) |
2021-03-03 10:35 |
Online | Online | A Study on Gaussian Belief Propagation with Whitening Filter for Faster-than-Nyquist Transmissions Natsuki Yanai, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.) RCS2020-205 |
This paper proposes a novel concatenated structure of whitening filter and iterative detector based on Gaussian belief p... [more] | RCS2020-205 pp.13-18 |
| SeMI, RCS, NS, SR, RCC (Joint) |
2019-07-10 13:50 |
Osaka | I-Site Nanba（Osaka） | Dual-Ascent Inspired Iterative Transmit Precoding Approaches for Spatial Modulation in Multiple Access MIMO Systems Yuwen Cao, Tomoaki Ohtsuki (Keio Univ.) RCS2019-102 |
In this paper, we propose novel dual-ascent inspired iterative transmit precoding (TPC) approaches for spatial modulat... [more] |
RCS2019-102 pp.7-11 |
| RCS | 2016-06-23 09:00 |
Okinawa | Univ. of the Ryukyus | A Study on Interference Cancellation Using Belief Propagation in Faster-than-Nyquist Signaling Kotaro Kihara, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa (Hokkaido Univ.) RCS2016-54 |
Faster-than-Nyquist (FTN) signaling is one of the approaches that improve spectrum efficiency by transmitting symbols fa... [more] | RCS2016-54 pp.47-52 |
| MW | 2016-05-20 11:10 |
Kyoto | Kyoto Univ. | A Fast Chirp Generation PLL-IC using Polarity Switching Loop Filter Koji Tsutsumi, Eiji Taniguchi (Mitsubishi Electric) MW2016-19 |
A PLL (Phase Locked Loop) is used to generate frequency chirp signal for FMCW radars. The chirp generator using PLL has ... [more] | MW2016-19 pp.47-50 |
| IBISML | 2014-11-18 15:00 |
Aichi | Nagoya Univ. | [Poster Presentation]
Basis functions for fast learning of log-linear models Kazuya Takabatake, Shotaro Akaho (AIST) IBISML2014-76 |
We propose basis functions for log-linear models and a fast learning algorithm that works on these bases. These bases a... [more] |
IBISML2014-76 pp.307-312 |
| VLD, CAS, MSS, SIP | 2012-07-03 09:30 |
Kyoto | Kyoto Research Park | Fast Simulation of Multiconductor Transmission Lines Using Nodal Block Relaxation (NBR) Method Takahiro Takasaki, Tadatoshi Sekine, Hideki Asai (Shizuoka Univ.) CAS2012-15 VLD2012-25 SIP2012-47 MSS2012-15 |
This paper describes a nodal block relaxation (NBR) method in which the block relaxation method is applied to the nodal ... [more] | CAS2012-15 VLD2012-25 SIP2012-47 MSS2012-15 pp.81-85 |
| IBISML | 2011-11-09 15:45 |
Nara | Nara Womens Univ. | On Fast Convergence Rate of Non-Sparse Multiple Kernel Learning and Optimal Regularization Taiji Suzuki (Tokyo University) IBISML2011-64 |
In this paper, we give a new generalization error bound of Multiple Kernel Learning (MKL) for a general class of regular... [more] | IBISML2011-64 pp.147-154 |
| IBISML | 2011-03-29 16:30 |
Osaka | Nakanoshima Center, Osaka Univ. | Fast Convergence Rate of Multiple Kernel Learning with Elastic-net Regularization Taiji Suzuki, Ryota Tomioka (Univ. of Tokyo), Masashi Sugiyama (Tokyo Inst. of Tech.) IBISML2010-126 |
We investigate the learning rate of multiple kernel leaning (MKL) with elastic-net regularization, which consists of a... [more] |
IBISML2010-126 pp.153-160 |
| NC, MBE (Joint) |
2010-03-10 10:15 |
Tokyo | Tamagawa University | Effect of the number of input layer units on performance of voiceprint identification systems using layered neural networks Shunsuke Onishi, Hiroshi Hasegawa, Kentaro Kinoshita, Satoru Kishida (Tottori Univ.) NC2009-131 |
We constructed an individual identification system using three-layered neural networks with a back-propagation learning ... [more] | NC2009-131 pp.255-259 |
| NC, MBE (Joint) |
2010-03-10 11:30 |
Tokyo | Tamagawa University | Applications of Neural Networks into Judgement from X-ray Images of Chest Takahiro Sasaki (Tottori Univ/Sharp Corp.), Kentaro Kinoshita, Satoru Kishida (Tottori Univ), Yoshiharu Hirata, Seigo Yamada (Tottori Univ Hospital) NC2009-134 |
We constructed the system including neural networks for medical diagnosis support and investigated the performance of th... [more] | NC2009-134 pp.273-278 |
| SIP, CAS, CS | 2007-03-06 13:20 |
Tottori | Blancart Misasa (Tottori) | Fast and Stabilized Adaptive Lowpass Filters Hidenari Kim, Eiji Watanabe (Shibaura Inst. of Tech.), Akinori Nishihara (Tokyo Inst. of Tech.) CAS2006-108 SIP2006-209 CS2006-125 |
First-order adaptive infinite impulse response (IIR) lowpass filters have been proposed to find unknown passband-edge fr... [more] | CAS2006-108 SIP2006-209 CS2006-125 pp.75-80 |
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