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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| CAS, CS | 2024-03-14 11:40 |
Okinawa | Multiple Source Localization Method by Multiple Group PSO Kazuki Fujita, Keniji Suyama (Tokyo Denki Univ.)  CAS2023-116 CS2023-109 |
A high-resolution single source localization method based on an approximation of the sinc function has been developed. H... [more] | CAS2023-116 CS2023-109 pp.29-34 |
|
| RCC, ISEC, IT, WBS | 2024-03-14 17:00 |
Osaka | Osaka Univ. (Suita Campus) | Reconstruction of Boyer quantum algorithm and its application to hash puzzles Chris Idota, Yuichi Kaji (Nagoya Univ.) IT2023-132 ISEC2023-131 WBS2023-120 RCC2023-114 |
This study investigates the computational complexity of solving hash puzzles using quantum algorithms. A hash puzzle is ... [more] | IT2023-132 ISEC2023-131 WBS2023-120 RCC2023-114 pp.358-365 |
| ICTSSL, CAS | 2024-01-25 11:30 |
Kanagawa | (Primary: On-site, Secondary: Online) |
On an approximation of images by means of bivariate polynomials JiaHang Chang, Kazuya Ozawa, Kaito Isogai, Hideaki Okazaki (SIT) CAS2023-87 ICTSSL2023-40 |
In this report, we construct the inequality condition problem of approximating a bivariate polynomial of an image as a K... [more] | CAS2023-87 ICTSSL2023-40 pp.26-30 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-03 17:25 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
The free energy of the mean field approximation in normal crossing functions Miki Aoyagi (Nihon Univ.) PRMU2022-127 IBISML2022-134 |
Then main terms of the free energy in singular models are obtained by a resolution map of Kullback function's singularit... [more] | PRMU2022-127 IBISML2022-134 pp.378-383 |
| CAS, CS | 2023-03-02 14:50 |
Fukuoka | Kitakyushu International Conference Center (Primary: On-site, Secondary: Online) |
Sound Source Localization Method Based on Approximation of Sinc Function by FIR Filter Kazuki Fujita, Kenji Suyama (Tokyo Denki Univ.) CAS2022-120 CS2022-97 |
Sound source localization using microphone pairs is a technique for estimating the sound source direction based on the t... [more] | CAS2022-120 CS2022-97 pp.141-144 |
| EMCJ, IEE-EMC, IEE-SPC | 2022-12-07 15:50 |
Aichi | A Study on Relative Permittivity Estimation for Human Body Using Two-Dimensional Electric Field Approximation Takuro Saji, Daisuke Anzai (NIT) EMCJ2022-70 |
In recent years, there has been a growing demand for a simple and accurate method to estimate the moisture content of th... [more] | EMCJ2022-70 pp.39-43 |
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| COMP | 2022-10-26 16:30 |
Fukuoka | Kyusyu Univ. Nishijin Plaza | COMP2022-19 |
The sum approximation (from below) of an irrational number $alpha$ is the function that, given a nonnegative number $n$,... [more] | COMP2022-19 pp.30-31 |
| VLD, DC, RECONF, ICD, IPSJ-SLDM (Joint) [detail] |
2021-12-02 10:35 |
Online | Online | Calculation method of correctly rounded exponential function on an FPGA Takuya Haraguchi, Naofumi Takagi (Kyoto Univ.) VLD2021-35 ICD2021-45 DC2021-41 RECONF2021-43 |
We propose the FPGA-oriented calculation method of correctly rounded exponential function, exp, which is one of the func... [more] | VLD2021-35 ICD2021-45 DC2021-41 RECONF2021-43 pp.105-110 |
| MIKA (3rd) |
2021-10-29 10:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Comments on the Closed Form Expression of Average Block Error Rate in Finite Block-Length Transmission over Fading Channels Masaya Kambara, Tomotaka Kimura, Jun Cheng (Doshisha Univ.) |
It is well-known that a closed form expression is derived to give an average block error rate of finite-blocklength tran... [more] | |
| SDM, ICD, ITE-IST [detail] | 2021-08-17 11:45 |
Online | Online | Approximation of Non-Linear Function for Hardware Implementation of Echo-State-Network Amartuvshin Bayasgalan, Makoto Ikeda (UTokyo) SDM2021-32 ICD2021-3 |
Reservoir computing (RC) is a machine-learning algorithm that can learn complex temporal signals while presenting a fast... [more] | SDM2021-32 ICD2021-3 pp.12-17 |
| MSS, CAS, IPSJ-AL [detail] | 2020-11-26 13:50 |
Online | Online | On an approximating polynomials by a Pseudo Residual Neural Network with a Power Activation Function Kazuya Ozawa, Kaito Isogai, Hideaki Okazaki (Shonan Inst. Tech) CAS2020-31 MSS2020-23 |
Since a series of successes of Deep neural networks (DNNs) with rectified linear units (ReLUs), many approximations by N... [more] | CAS2020-31 MSS2020-23 pp.68-72 |
| AP, SANE, SAT (Joint) |
2020-07-16 13:00 |
Online | Online | Numerical Analysis of Array Antennas Using Method of Moments Based on Far-Field Approximation of a Dyadic Green's Function in Free Space. Tsukasa Susuga, Keisuke Konno, Qiang Chen (Tohoku Univ.) AP2020-17 |
The numerical analysis of a large-scale array antenna is computationally expensive, so it is essential to speed up the c... [more] | AP2020-17 pp.45-49 |
| PRMU, IPSJ-CVIM | 2020-03-17 09:45 |
Kyoto | (Cancelled but technical report was issued) |
Deep neural network representation and learning of low-rank and sparse approximation
-- With application to celiac angiography under free breathing -- Ryohei Miyoshi, Tomoya Sakai (Nagasaki Univ.), Takashi Ohnishi, Hideaki Haneishi (Chiba Univ.) PRMU2019-91 |
Low-rank and sparse (L+S) approximation, a.k.a. stable and robust principal component analysis, is known to be suitable ... [more] | PRMU2019-91 pp.133-138 |
| CAS, MSS, IPSJ-AL [detail] | 2019-11-28 13:25 |
Fukuoka | A Multiplication by a Neural Network (NN) with Power Activations and a Polynomial Enclosure for a NN with Parametric ReLU Functions Kazuya Ozawa, Kaito Isogai, Toshihiro Tachibana, Hideo Nakano, Hideaki Okazaki (SIT) CAS2019-49 MSS2019-28 |
Since a series of successes of Deep neural networks (DNNs) with rectified linear units (ReLUs), many approximations by N... [more] | CAS2019-49 MSS2019-28 pp.27-32 |
|
| AP | 2019-10-17 12:30 |
Osaka | Osaka Univ. | [Poster Presentation]
Far-Field Approximation of a Dyadic Green's Function in Free Space and Its Application to Method of Moments Tsukasa Susuga, Keisuke Konno, Qiang Chen (Tohoku Univ.) AP2019-96 |
Since the numerical analysis of large-scale antennas using method of moments (MoM) is computationally expensive, reducti... [more] | AP2019-96 pp.85-88 |
| COMP | 2019-03-18 15:00 |
Tokyo | The University of Tokyo | [Invited Talk]
Cheeger Inequalities for Submodular Transformations Yuichi Yoshida (NII) COMP2018-50 |
The Cheeger inequality for undirected graphs, which relates the conductance of an undirected graph and the second smalle... [more] | COMP2018-50 p.45 |
| NC, MBE (Joint) |
2019-03-04 13:25 |
Tokyo | University of Electro Communications | Approximation of inverse embedding function using neural network, and its application for the interpretation of document data distribution Yuya Mizobuchi, Hirotaka Hachiya (Wakayama Univ.) NC2018-54 |
Recently, analysing the relation between human and compnies based those related documents such as tweets and web pages. ... [more] |
NC2018-54 pp.61-66 |
| AP | 2019-02-21 13:05 |
Osaka | Sumitomo Electric Industries (Osaka Works) | [Invited Lecture]
Design of Parallel Plate Slot Array by Method of Moments Analysis Considering Higher Order Distribution of Equivalent Magnetic Current on Slot Aperture Koh Hashimoto, Makoto Higaki (Toshiba) AP2018-170 |
Parallel plate slot array antennas are known for their high-gain and high-efficiency characteristics. A radiating slot p... [more] | AP2018-170 pp.1-6 |
| MSS, CAS, IPSJ-AL [detail] | 2018-11-13 13:25 |
Shizuoka | On an approximated polynomial function by neural networks with parametric rectified linear units Kazuya Ozawa, Toshihiro Tachibana, Hideo Nakano, Hideaki Okazaki (SIT) CAS2018-72 MSS2018-48 |
In this report we discuss learnings of a polynomial function approximation by a neural network with rectified linear uni... [more] | CAS2018-72 MSS2018-48 pp.105-110 |
|
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
An Efficient Branch-and-Bound Algorithm for Submodular Function Maximization Naoya Uematsu, Shunji Umetani, Yoshinobu Kawahara (Osaka Univ./RIKEN) IBISML2018-68 |
The submodular function maximization is an attractive optimization model that appears in many real applications. Altho... [more] |
IBISML2018-68 pp.183-190 |
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