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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SP, EA, SIP | 2020-03-02 13:00 |
Okinawa | Okinawa Industry Support Center (Cancelled but technical report was issued) |
[Poster Presentation]
Restoration of clipped signal using oversampling based on differentiable and convex loss function Natsuki Ueno, Shoichi Koyama, Hiroshi Saruwatari (Univ. Tokyo)  EA2019-126 SIP2019-128 SP2019-75 |
A signal reconstruction method of clipped time-continuous signal using oversampling is proposed. The signal reconstructi... [more] | EA2019-126 SIP2019-128 SP2019-75 pp.147-152 |
| SP, EA, SIP | 2020-03-03 16:15 |
Okinawa | Okinawa Industry Support Center (Cancelled but technical report was issued) |
A Portscan Detection Based on Low-rankness of Destination Port Matrices Hiroki Nousou, Masao Yamagishi, Isao Yamada (Tokyo Tech) EA2019-167 SIP2019-169 SP2019-116 |
The detection of port scans as possible preliminaries to more serious attacks is important for system administrators and... [more] | EA2019-167 SIP2019-169 SP2019-116 pp.385-390 |
| NS, RCS (Joint) |
2019-12-19 16:05 |
Tokushima | Tokushima Univ. | Optimal Relay Placement for Seafloor Optical Wireless Networks Yoshiaki Inoue (Osaka Univ.), Takahiro Kodama (Kagawa Univ.), Tomotaka Kimura (Doshisha Univ.) NS2019-147 RCS2019-250 |
For underwater communications, acoustic wireless channels have conventionally been regarded as main media because of the... [more] | NS2019-147 RCS2019-250 pp.69-74 |
| SeMI, RCS, NS, SR, RCC (Joint) |
2019-07-10 15:45 |
Osaka | I-Site Nanba（Osaka） | Robust Transmit Beamforming Design via Fractional Programming for Downlink Power-Domain NOMA Systems Hiroki Iimori, Koji Ishibashi (UEC), Giuseppe Abreu (JUB) RCC2019-16 NS2019-49 RCS2019-106 SR2019-25 SeMI2019-25 |
Taking into account imperfect channel state information, we study a robust transmit beamforming design for downlink powe... [more] | RCC2019-16 NS2019-49 RCS2019-106 SR2019-25 SeMI2019-25 pp.27-32(RCC), pp.37-42(NS), pp.31-36(RCS), pp.37-42(SR), pp.41-46(SeMI) |
| SIS, IPSJ-AVM, ITE-3DMT [detail] | 2019-06-13 16:25 |
Nagasaki | Fukue Culture Center | [Invited Talk]
Image Processing Based on Sparse and Low-rank Modeling Seisuke Kyochi (The Univ. of Kitakyushu) SIS2019-10 |
This paper presents fundamental tools for image recovery by convex optimization and introduces some case study from the ... [more] | SIS2019-10 pp.55-60 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
Bregman monotone operator splitting and its application example Kenta Niwa (NTT), W. Bastiaan Kleijn (VUW) IBISML2018-80 |
Monotone operator splitting is a powerful paradigm that facilitates parallel processing for optimization problems where ... [more] | IBISML2018-80 pp.271-278 |
| RCS, SR, SRW (Joint) |
2018-03-02 15:45 |
Kanagawa | YRP | Rate Maximization via Probabilistic Constellation Shaping in AWGN Channels with Non-linear Distortion Hiroki Iimori, Giuseppe Thadeu Freitas de Abreu (Ritsumeikan Uni.) RCS2017-401 |
It is well known that distortion in wireless transmit signals occurs due to the non-linearity of power amplifiers. The t... [more] | RCS2017-401 pp.459-464 |
| US, EA (Joint) |
2018-01-23 13:00 |
Osaka | [Poster Presentation]
Performance improvement of gridless sound field decomposition using signal separation based on convex optimization Yuhta Takida, Shoichi Koyama, Natsuki Ueno, Hiroshi Saruwatari (The Univ. of Tokyo) EA2017-87 |
A sound field reconstruction method inside a region including sound sources is proposed. Previously, a method based on a... [more] | EA2017-87 pp.19-24 |
|
| IBISML | 2017-11-09 13:00 |
Tokyo | Univ. of Tokyo | Online Optimization Method for Generalized $ell_1$ Regularized Problems Yoshihiro Nakazato, Kazuto Fukuchi (Tsukuba Univ.), Jun Sakuma (Tsukuba Univ./Riken/JST) IBISML2017-47 |
Structured sparse regularization is vital to enhance the precision and the interpretability of the model by introducing ... [more] | IBISML2017-47 pp.93-100 |
| IE | 2017-06-29 14:15 |
Okinawa | IE2017-27 |
(To be available after the conference date) [more] | IE2017-27 pp.13-18 |
|
| NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] | 2017-06-25 10:20 |
Okinawa | Okinawa Institute of Science and Technology | Learning with linearly transformed l0 sparsity Naoki Marumo, Tomoharu Iwata (NTT) IBISML2017-8 |
We consider a class of non-convex optimization problems with linearly transformed sparsity constraints, which includes... [more] |
IBISML2017-8 pp.193-199 |
| IBISML | 2017-03-07 10:30 |
Tokyo | Tokyo Institute of Technology | Doubly Accelerated Stochastic Variance Reduced Gradient Method for Regularized Empirical Risk Minimization Tomoya Murata, Taiji Suzuki (Tokyo Tech) IBISML2016-106 |
We develop a new stochastic gradient method for solving convex regularized empirical risk minimization problem in mini-b... [more] | IBISML2016-106 pp.49-56 |
| PRMU, CNR | 2017-02-19 11:20 |
Hokkaido | [Poster Presentation]
Compressed Sensing for 4D-MRI
-- Fast Algorithm of Image Reconstruction -- Kohei Mochizuki, Tomoya Sakai (Nagasaki Univ.), Yukinojo Kitakami, Hideaki Haneishi (Chiba Univ.) PRMU2016-181 CNR2016-48 |
This work aims to reduce measurement time and improve the computational efficiency of four-dimensional magnetic resonanc... [more] | PRMU2016-181 CNR2016-48 pp.159-160 |
|
| RCS, AP (Joint) |
2016-11-24 15:35 |
Kyoto | Kyoto International Community House | [Invited Lecture]
Multiuser Detection by Convex Relaxed MAP Estimation Hampei Sasahara (Tokyo Inst. Tech.), Kazunori Hayashi (Kyoto Univ.), Masaaki Nagahara (Univ. Kitakyusyu) AP2016-115 RCS2016-199 |
In this manuscript, we propose a new multiuser signal detection considering discreteness of signals explicitly. The mul... [more] |
AP2016-115 RCS2016-199 pp.47-52 |
| IBISML | 2016-11-16 15:00 |
Kyoto | Kyoto Univ. | Proximal Average Accelerated Proximal Gradient Algorithm with Adaptive Restart Yoshihiro Nakazato, Kazuto Fukuchi, Jun Sakuma (Univ. Tsukuba) IBISML2016-55 |
When using multiple regularizers, their proximal mapping is not easily available in closed form. The method to calculat... [more] |
IBISML2016-55 pp.65-71 |
| PRMU, IPSJ-CVIM, IBISML [detail] | 2016-09-05 15:45 |
Toyama | Sparse learning for pattern mining problem by using Safe Pattern Pruning method Kazuya Nakagawa, Shinya Suzumura, Masayuki Karasuyama (NIT), Koji Tsuda (Univ. of Tokyo), Ichiro Takeuchi (NIT) PRMU2016-70 IBISML2016-25 |
In this paper we study predictive pattern mining problems where the goal is to construct a predictive model based on a s... [more] | PRMU2016-70 IBISML2016-25 pp.127-134 |
|
| PRMU, IE, MI, SIP | 2016-05-19 15:10 |
Aichi | High accuracy reconstruction algorithm for CS-MRI using SDMM Motoi Shibata, Norihito Inamuro, Takashi Ijiri, Akira Hirabayashi (Ritsumeikan Univ.) SIP2016-12 IE2016-12 PRMU2016-12 MI2016-12 |
We propose a high accuracy magnetic resonance imaging (MRI) reconstruction algorithm from compressively sampled measurem... [more] | SIP2016-12 IE2016-12 PRMU2016-12 MI2016-12 pp.59-64 |
|
| EA, SP, SIP | 2016-03-29 09:00 |
Oita | Beppu International Convention Center B-ConPlaza | [Poster Presentation]
Amplitude limiters based on phase optimization Akira Kakitani, Daisuke Saito, Yasuhiro Kosugi, Nobuaki Minematsu (UTokyo) EA2015-111 SIP2015-160 SP2015-139 |
In order to reduce the peak value of source waveforms without quality degradation, a novel method is proposed. In this m... [more] | EA2015-111 SIP2015-160 SP2015-139 pp.249-254 |
| IBISML | 2015-11-26 15:00 |
Ibaraki | Epochal Tsukuba | [Poster Presentation]
Robustification of Learning Algorithms using Hinge-loss Takafumi Kanamori (Nagoya Univ.), Shuhei Fujiwara (TopGate), Akiko Takeda (Univ. of Tokyo) IBISML2015-71 |
We propose a unified formation of robust learning methods for classification and regression problems. In the learnin... [more] |
IBISML2015-71 pp.139-146 |
| IBISML | 2015-11-27 14:00 |
Ibaraki | Epochal Tsukuba | [Poster Presentation]
Secure Approximation Guarantee for Private Empirical Risk Minimization with Homomorphic Encryption Toshiyuki Takada, Hiroyuki Hanada (NIT), Jun Sakuma (Univ.Tsukuba), Ichiro takeuchi (NIT) IBISML2015-86 |
Privacy concern has been increasingly important in many machine learning problems. In this paper, we study empirical ris... [more] | IBISML2015-86 pp.249-256 |
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