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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SIP | 2024-08-26 12:50 |
Fukui | University of Fukui (Bunkyo Campus) (Primary: On-site, Secondary: Online) |
Image Restoration Using Accelerated Subgradient Method with Learned Convex Regularizers Kosuke Sugimura (Osaka Univ.), Ryo Hayakawa (TUAT), Yoji Iiguni (Osaka Univ.)  SIP2024-44 |
Image restoration is the estimation of an unknown image from its degraded measurement. One approach for the image rest... [more] |
SIP2024-44 pp.1-6 |
| SIP | 2023-08-07 14:45 |
Osaka | Osaka Univ. (Suita) Convention Center (Primary: On-site, Secondary: Online) |
[Invited Talk]
On optimization over Stiefel manifold based on adaptive Cayley parametrization Keita Kume, Isao Yamada (TokyoTech) SIP2023-50 |
The Stiefel manifold, say St(p,N), is the set of all N-by-p matrices whose column vectors are orthonormal. Optimization ... [more] | SIP2023-50 p.20 |
| IE | 2023-02-02 15:30 |
Tokyo | NII (Primary: On-site, Secondary: Online) |
[Invited Talk]
How Can We Compress Signs of DCT Coefficients in Image Coding?
-- A Method Inspired by Phase Retrieval -- Chihiro Tsutake (Nagoya Univ.) IE2022-55 |
Compressing the signs of DCT coefficients is an intractable problem in image coding because of their equiprobable charac... [more] | IE2022-55 p.19 |
| EA, SIP, SP, IPSJ-SLP [detail] | 2022-03-01 09:20 |
Okinawa | (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Robust Hyperspectral Anomaly Detection via Component Decomposition Based on Convex Optimization Koyo Sato, Shunsuke Ono (Tokyo Tech) EA2021-71 SIP2021-98 SP2021-56 |
Anomaly detection in hyperspectral (HS) images is a technique to identify pixels whose spectral wavelengths differ from ... [more] | EA2021-71 SIP2021-98 SP2021-56 pp.44-49 |
| RISING (3rd) |
2021-11-17 11:00 |
Tokyo | (Primary: On-site, Secondary: Online) |
An Overloaded IoT Signal Detection Method Using Piecewise Continuous Nonconvex Sparse Regularizer Atsuya Hirayama (Osaka City Univ.), Kazunori Hayashi (Kyoto Univ.) |
In this talk, we consider the signal detection problem of overloaded massive multi-user multi-input multi-output (MU-MIM... [more] | |
| RCS | 2021-10-21 11:15 |
Online | Online | A Study on Resource Allocation and Beamforming Design via Geometric Mean Maximization for Cell-free Massive MIMO Systems with Dynamic TDD Shuto Fukue (UEC), Hiroki Iimori, Giuseppe Abreu (JUB), Koji Ishibashi (UEC) RCS2021-121 |
In this paper, we consider a cell-free multiple-input multiple-output (MIMO) systems operated in a dynamic time division... [more] | RCS2021-121 pp.19-24 |
| RCS, SAT (Joint) |
2021-08-27 14:55 |
Online | Online | Resource Allocation and Beamforming Design Considering User Fairness for Cell-Free Massive MIMO System with Dynamic TDD Shuto Fukue (UEC), Hiroki Iimori, Giuseppe Abreu (JUB), Koji Ishibashi (UEC) RCS2021-115 |
In this paper, we consider a cell-free massive multiple-input multiple-output (MIMO) system, in which uplink and downlin... [more] | RCS2021-115 pp.85-90 |
| SIP | 2021-08-23 14:00 |
Online | Online | [Invited Talk]
Block-Sparse Estimation using Optimal Block Structure Hiroki Kuroda (Ritsumeikan Univ.) SIP2021-29 |
This talk presents a convex optimization based block-sparse estimation method which is effective even when concrete bloc... [more] | SIP2021-29 p.11 |
| NS, RCS (Joint) |
2020-12-18 15:00 |
Online | Online | Dynamic TDD Allocation via Fractional Programming for Cell-Free Massive MIMO Systems Shuto Fukue (UEC), Hiroki Iimori, Giuseppe Abreu (Jacobs Univ. Bremen), Koji Ishibashi (UEC) RCS2020-151 |
In this paper, we consider a user-centric spacial resource management problem for cell-free massive MIMO architectures w... [more] | RCS2020-151 pp.91-96 |
| SIP | 2020-08-28 11:20 |
Online | Online | [Invited Talk]
Blind source separation based on proximal splitting algorithm Kohei Yatabe (Waseda Univ.) SIP2020-36 |
This talk presents blind source separation (BSS) from multi-channel audio signals. BSS is methodology of estimating sepa... [more] | SIP2020-36 p.31 |
| SR, NS, SeMI, RCC, RCS (Joint) |
2020-07-08 13:50 |
Online | Online | Deep Unfolded Multicast Beamforming for Massive MIMO Satoshi Takabe, Tadashi Wadayama (NITech) RCS2020-64 |
Multicast beamforming is a promising technique for multicast communications to design a beamforming vector based on chan... [more] | RCS2020-64 pp.37-42 |
| 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 |
| 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 |
| 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 |
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