Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
PRMU, IPSJ-CVIM, IBISML |
2025-03-18 11:00 |
Shiga |
(Shiga, Online) (Primary: On-site, Secondary: Online) |
A method for classification of data with uncertainty using hypothesis testing Shoma Yokura, Akihisa Ichiki (Fukuoka Univ.) |
(To be available after the conference date) [more] |
|
SCE |
2023-10-31 10:00 |
Miyagi |
RIEC, Tohoku Univ. (Miyagi, Online) (Primary: On-site, Secondary: Online) |
Design of a Modularized Circuits Library for Binary Convolutional Neural Network Accelerator using Single Flux Quantum Circuits Zeyu Han, Zongyuan Li, Yuki Yamanashi, Nobuyuki Yoshikawa (Yokohama National Univ.) SCE2023-17 |
To implement a binary neural network (BNN) based on SFQ circuits, we designed a modularized circuits library based on th... [more] |
SCE2023-17 pp.26-31 |
PRMU |
2022-12-16 14:55 |
Toyama |
Toyama International Conference Center (Toyama, Online) (Primary: On-site, Secondary: Online) |
On a difficulty of TextVQA Koki Nakamura, Seiichi Uchida (Kyushu Univ.) PRMU2022-51 |
Text Visual Question Answering (TextVQA) is a task that uses textual information in images to generate natural language ... [more] |
PRMU2022-51 pp.100-105 |
VLD, HWS [detail] |
2022-03-07 15:30 |
Online |
Online (Online) |
High-throughput In-Memory Accelerator for Binarized Neural Network based on 8T-SRAM Hiroto Tagata, Hiromitsu Awano (Kyoto Univ.) VLD2021-88 HWS2021-65 |
An in-memory accelerator for binary deep neural networks is presented.
The proposed circuit doubled the execution spee... [more] |
VLD2021-88 HWS2021-65 pp.63-68 |
EA, US, SP, SIP, IPSJ-SLP [detail] |
2021-03-04 09:00 |
Online |
Online (Online) |
Anomalous Sound Detection Using a Binary Classification Model Considering Class Centroids Ibuki Kuroyanagi, Tomiki Hayashi, Kazuya Takeda, Tomoki Toda (Nagoya Univ) EA2020-79 SIP2020-110 SP2020-44 |
In an anomalous sound detection system, it is necessary to detect unknown anomalous sounds using only normal sound data.... [more] |
EA2020-79 SIP2020-110 SP2020-44 pp.114-121 |
MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-29 10:50 |
Online |
Online (Online) |
Classification of binary data based on binary neural networks Kento Saka, Tomoyuki Togawa, Toshimichi Saito (HU) NC2020-8 |
This paper presents a novel application of binary neural networks to clustering of data sets.
The network characterized... [more] |
NC2020-8 pp.1-4 |
KBSE |
2020-09-18 10:00 |
Online |
Online (Online) |
Proposal of an automatic classification of web news sources by short title texts Takuto Sugita, Yutaka Matsuno (Nihon Univ.) KBSE2020-1 |
In recent years, the demand for services to collect and provide news sources on the Web has been increasing, and the tec... [more] |
KBSE2020-1 pp.1-6 |
IBISML |
2020-03-11 10:45 |
Kyoto |
Kyoto University (Kyoto) (Cancelled but technical report was issued) |
Calibrated Surrogate Maximization of Linear-Fractional Utility in Binary Classification Han Bao (Univ. of Tokyo/RIKEN), Masashi Sugiyama (RIKEN/Univ. of Tokyo) IBISML2019-43 |
Complex classification performance metrics such as the F-measure and Jaccard index are often used to handle class imbala... [more] |
IBISML2019-43 pp.71-78 |
HCGSYMPO (2nd) |
2019-12-11 - 2019-12-13 |
Hiroshima |
Hiroshima-ken Joho Plaza (Hiroshima) (Hiroshima) |
Design and utilization of linear separator which has likelihood value on the negative conversion data Takuma Yabe, Kazuki Yamada, Keiichi Zempo (Univ. of Tsukuba) |
In the real world, there are situation that you cannot get enough negative data for the binary classification. In this p... [more] |
|
MSS, CAS, IPSJ-AL [detail] |
2018-11-12 17:15 |
Shizuoka |
(Shizuoka) |
[Invited Talk]
Robust Optimization and its Application to Supervised Learning Akiko Takeda (U.Tokyo) CAS2018-67 MSS2018-43 |
There are various uncertainties in real-world problems. When formulating them as mathematical optimization problems, we ... [more] |
CAS2018-67 MSS2018-43 p.55 |
PRMU, BioX |
2017-03-21 14:10 |
Aichi |
(Aichi) |
Three-dimensional shape retrieval based in voxel representation using LSTM and CNN Ryo Miyagi, Masaki Aono (TUT) BioX2016-67 PRMU2016-230 |
In recent years, with the spread of 3D scanners, VR headsets, etc., there is an increasing demand for recognition and re... [more] |
BioX2016-67 PRMU2016-230 pp.203-208 |
IBISML |
2015-11-27 14:00 |
Ibaraki |
Epochal Tsukuba (Ibaraki) |
[Poster Presentation]
An Efficient Accelerated Proximal Gradient Method for Unified Binary Classification Model Naoki Ito, Akiko Takeda (UTokyo), Kim-Chuan Toh (NUS) IBISML2015-93 |
In this paper, we develop an efficient general optimization algorithm for a unified formulation of various binary classi... [more] |
IBISML2015-93 pp.299-303 |
MBE, BioX, NC |
2015-10-25 09:40 |
Osaka |
Osaka Electro-Communication University (Osaka) |
Effects of monetary incentive on response facilitation
-- Analyses of task performance and electroencephalogram -- Takuya Kimura, Jiro Okuda (Kyoto Sangyo Univ.) BioX2015-24 MBE2015-35 NC2015-19 |
In this study, we investigated effects of monetary motivation on performance of a delayed response task and electroencep... [more] |
BioX2015-24 MBE2015-35 NC2015-19 pp.13-18 |