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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| VLD, HWS, ICD | 2024-02-28 16:20 |
Okinawa | (Primary: On-site, Secondary: Online) |
Single Trunk Routing Problem for Generalized Channel Zezhong Wang, Masayuki Shimoda, Atsushi Takahashi (Tokyo Tech)  VLD2023-104 HWS2023-64 ICD2023-93 |
This paper addresses the challenges posed by tight horizontal routing capacity in critical layers of chip design. A Gene... [more] | VLD2023-104 HWS2023-64 ICD2023-93 pp.30-35 |
| SIS, IPSJ-AVM [detail] | 2023-06-16 13:20 |
Shimane | NIT, Matsue College (Primary: On-site, Secondary: Online) |
A Proposal of Lightness Modification Method in RGB Color Space for Protanopia and Deuteranopia Ayaka Fujita, Mashiho Mukaida (Yamaguchi Univ.), Tadahiro Azetsu (Yamaguchi Prefectural Univ.), Noriaki Suetake (Yamaguchi Univ.) SIS2023-14 |
For dichromats, there are certain color combinations which cannot be distinguished. To generate images, whose colors are... [more] | SIS2023-14 pp.73-78 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-03 16:25 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Fast Identification of Possible Model Parameter Update for Low-Rank Update of Training Data Hiroyuki Hanada, Noriaki Hashimoto (RIKEN), Kouichi Taji, Ichiro Takeuchi (Nagoya Univ.) PRMU2022-123 IBISML2022-130 |
Machine learning methods often require re-training the training dataset with low-rank modifications (small number of ins... [more] | PRMU2022-123 IBISML2022-130 pp.347-354 |
| SP, IPSJ-SLP, EA, SIP [detail] | 2023-02-28 11:40 |
Okinawa | (Primary: On-site, Secondary: Online) |
Acoustic Echo and Noise Canceller Based on Minimization of Shared-Error Signal Kenta Iwai, Takanobu Nishiura (Ritsumeikan Univ.) EA2022-86 SIP2022-130 SP2022-50 |
This paper proposes a new acoustic echo and noise canceller (AENC) based on minimizing a shared error signal. The conven... [more] | EA2022-86 SIP2022-130 SP2022-50 pp.67-72 |
| IT, RCS, SIP | 2023-01-24 16:20 |
Gunma | Maebashi Terrsa (Primary: On-site, Secondary: Online) |
Underdetermined DOA Estimation of Correlated Signals Using Atomic Norm Minimization Soichi Obata, Steven Wandale, Koichi Ichige (Yokohama Nat'l Univ.) IT2022-50 SIP2022-101 RCS2022-229 |
This paper discusses the underdetermined Direction-of-Arrival (DOA) estimation of correlated sources where the number of... [more] | IT2022-50 SIP2022-101 RCS2022-229 pp.120-125 |
| NC, MBE (Joint) |
2022-09-29 13:50 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
Isotropic Inference and Modularity in Neural Networks Yuma Onishi, Tomoaki Imajo, Yusuke Matsubara, Koiti Hasida (UTokyo) NC2022-37 |
Neural networks can be regarded as a system of simultaneous equations. Reasoning with it is to solve the simultaneous eq... [more] | NC2022-37 pp.20-23 |
| PRMU | 2021-12-16 14:45 |
Online | Online | Unsupervised Logo Detection Using Adversarial Learning from Synthetic to Real Images Rahul Kumar Jain (Ritsumeikan Univ.), Takahiro Sato, Taro Watasue, Tomohiro Nakagawa (tiwaki), Yutaro Iwamoto (Ritsumeikan Univ.), Xiang Ruan (tiwaki), Yen-Wei Chen (Ritsumeikan Univ.) PRMU2021-31 |
Most of the existing deep learning based logo detection methods typically use a large amount of annotated training data,... [more] | PRMU2021-31 pp.43-44 |
| SANE | 2021-08-26 15:25 |
Online | Online | Accelerating Target Detection Based on Atomic Norm Minimization Akira Kakitani, Kentaro Isoda, Kei Suwa, Ryuhei Takahashi (Mitsubishi Electric) SANE2021-25 |
We propose a method to detect the chirp signal, which is a target echo, by atomic norm minimization, assuming that the r... [more] | SANE2021-25 pp.16-21 |
| IA, ICSS | 2021-06-22 11:15 |
Online | Online | A Solution for Recovering Missing Links in Network Topology using Sparse Modeling Ryotaro Matsuo, Hiroyuki Ohsaki (Kwansei Gakuin Univ.) IA2021-14 ICSS2021-14 |
In recent years, sparse modeling, which is a statistical approach, has been applied to many practical problems mostly in... [more] | IA2021-14 ICSS2021-14 pp.74-79 |
| VLD, DC, RECONF, ICD, IPSJ-SLDM (Joint) [detail] |
2020-11-18 14:25 |
Online | Online | Energy Efficient Approximate Storing of Image Data for Non-volatile Memory Yoshinori Ono, Kimiyoshi Usami (SIT) VLD2020-38 ICD2020-58 DC2020-58 RECONF2020-57 |
A non-volatile memory (NVM) employing MTJ has a lot of strong points. However, it consumes a lot of energy when writing ... [more] | VLD2020-38 ICD2020-58 DC2020-58 RECONF2020-57 pp.145-150 |
| IA | 2020-10-01 13:15 |
Online | Online | A Study on Recovering Network Topology with Missing Links using Sparse Modeling Ryotaro Matsuo, Hiroyuki Ohsaki (Kwansei Gakuin Univ.) IA2020-3 |
In recent years, sparse modeling, which is a statistical approach, has been applied to many practical problems mostly in... [more] | IA2020-3 pp.10-13 |
| 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 |
| SIS, ITE-BCT | 2018-10-25 10:00 |
Kyoto | Kyoto University Clock Tower Centennial Hall | Accuracy Analysis of Background Noise Estimation Using Outer Product Expansion with Lower Norm Kouta Sugiura, Akitoshi Itai (Chubu Univ.) SIS2018-10 |
In this paper, the background noise estimation using outer product expansion is developed. We have shown that a possib... [more] |
SIS2018-10 pp.1-5 |
| CAS, SIP, MSS, VLD | 2018-06-15 15:05 |
Hokkaido | Hokkaido Univ. (Frontier Research in Applied Sciences Build.) | A Rough Placement Method Using Multi-Objective Genetic Algorithm Shohei Shirageyama, Kunihiro Fujiyoshi (TUAT) CAS2018-29 VLD2018-32 SIP2018-49 MSS2018-29 |
In placement problem of LSI layout design, the main purpose is to minimize the wiring length. Analytical placement has ... [more] |
CAS2018-29 VLD2018-32 SIP2018-49 MSS2018-29 pp.149-154 |
| IBISML | 2018-03-06 10:00 |
Fukuoka | Nishijin Plaza, Kyushu University | Learning rule-base model by Safe Pattern Pruning Hiroki Kato, Hiroyuki Hanada (Nagoya Inst. of Tech.), Ichiro Takeuchi (Nagoya Inst. of Tech./RIKEN/NIMS) IBISML2017-98 |
We consider learning the prediction model called ''rule-base model''. Rule-base model is the model which uses ''rules'' ... [more] | IBISML2017-98 pp.55-62 |
| SIP, CAS, MSS, VLD | 2017-06-20 11:40 |
Niigata | Niigata University, Ikarashi Campus | Matrix Completion Algorithm based on Locally Linear Embedding and its Application to Signal Restoration of Nonlinear Systems Ryohei Sasaki (TUS), Katsumi Konishi (Kogakuin Univ.), Tomohiro Takahashi, Toshihiro Furukawa (TUS) CAS2017-18 VLD2017-21 SIP2017-42 MSS2017-18 |
In this paper, we deal with matrix completion problem of non-low rank matrix. In the problem of recovering the output si... [more] | CAS2017-18 VLD2017-21 SIP2017-42 MSS2017-18 pp.93-97 |
| 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 |
| IBISML | 2016-11-17 14:00 |
Kyoto | Kyoto Univ. | Empirical risk minimization for interval data and its applications to privacy preservations Hiroyuki Hanada, Toshiyuki Takada, Atsushi Shibagaki (NITech), Jun Sakuma (Univ. of Tsukuba), Ichiro Takeuchi (NITech) IBISML2016-89 |
In this research, for machine learning tasks, we consider that the values in the training data are given as intervals an... [more] | IBISML2016-89 pp.305-312 |
| COMP | 2016-09-06 15:20 |
Toyama | Toyama Prefectural University | An algorithm for an optimal sink location problem in dynamic tree networks on condition that minimize the total evacuation time Naoki Takahashi, Naoki Katoh (Kwansei Gakuin Univ), Yuya Higashikawa (Chuo Univ) COMP2016-20 |
We study dynamic tree network to represent evacuation of evacuees originally at vertices by using a road network to... [more] |
COMP2016-20 pp.37-44 |
| PRMU, IPSJ-CVIM, IBISML [detail] | 2016-09-06 10:45 |
Toyama | A proposal on quick sensitivity analysis of empirical risk minimization problems Hiroyuki Hanada, Atsushi Shibagaki (NITech), Jun Sakuma (Univ. of Tsukuba), Ichiro Takeuchi (NITech) PRMU2016-80 IBISML2016-35 |
For a training data set consisting of $n$ vectors of $d$ dimensions, we consider obtaining a training result from it by ... [more] | PRMU2016-80 IBISML2016-35 pp.203-210 |
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