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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SIS, ITE-BCT | 2022-10-13 16:00 |
Aomori | Hachinohe Institute of Technology (Primary: On-site, Secondary: Online) |
[Invited Talk]
Quasiconformal Mapping and its Application
-- Numerical Method and Application to Machine Learning -- Hirokazu Shimauchi (Hachinohe Inst. of Tech.)  SIS2022-14 |
Quasiconformal mapping is a natural generalization of conformal mapping and plays an important role in the areas of math... [more] | SIS2022-14 pp.17-20 |
| EA | 2022-05-13 14:35 |
Online | Online | A serial anomalous sound detection method using outlier exposure based on two types of binary classification Ibuki Kuroyanagi (Nagoya Univ.), Tomoki Hayashi (Nagoya Univ./HDL/), Kazuya Takeda, Tomoki Toda (Nagoya Univ.) EA2022-8 |
Anomalous sound detection systems use only normal sound data to detect unknown, atypical sounds. Conventional methods us... [more] | EA2022-8 pp.35-40 |
| IBISML | 2022-03-08 10:25 |
Online | Online | Robust computation of optimal transport by β-potential regularization Shintaro Nakamura (Univ. Tokyo), Han Bao (Univ.Tokyo/RIKEN), Masashi Sugiyama (RIKEN/Univ. Tokyo) IBISML2021-31 |
Optimal transport (OT) has become a widely used tool to measure the discrepancy between probability distributions in th... [more] |
IBISML2021-31 pp.8-14 |
| CPSY, DC, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC [detail] | 2021-03-26 10:40 |
Online | Online | Unsupervised Recycled FPGA Detection Using Direct Density Ratio Estimation Based on Self-referencing Yuya Isaka (KGU), Michihiro Shintani (NAIST), Foisal Ahmed (PU), Michiko Inoue (NAIST) CPSY2020-60 DC2020-90 |
It is well known that the performance of field-programmable gate-array (FPGA) degrades over time due to their usage. Sev... [more] | CPSY2020-60 DC2020-90 pp.61-66 |
| DC | 2021-02-05 10:55 |
Online | Online | Hardware Trojan Detection by Learning Power Side Channel Signals Considering Random Process Variation Michiko Inoue, Riaz-Ul-Haque Mian (NAIST) DC2020-70 |
Due to the globalization and complexity of the supply chain, there is a growing concern about the insertion of hardware ... [more] | DC2020-70 pp.7-11 |
| MBE, MICT | 2021-01-28 15:40 |
Online | Online | Consideration about Learning Scheme with Outlier Detection in Training Data for Prediction Model of Medication Effect Using Recurrent Neural Networks Yoshitomo Sakuma, Takumi Kobayashi, Chika Sugimoto, Ryuji Kohno (Yokohama National Univ.) MICT2020-27 MBE2020-32 |
Recently, the application of machine learning to the medical and healthcare field has attracted attention. In particular... [more] | MICT2020-27 MBE2020-32 pp.28-33 |
| CPSY, RECONF, VLD, IPSJ-ARC, IPSJ-SLDM [detail] | 2021-01-25 16:45 |
Online | Online | Comparison of ICA Algorithms in the Compressed Sensing EEG Measurement Framework Using OD-ICA Wataru Okumura, Daisuke Kanemoto, Osamu Maida, Tetsuya Hirose (Osaka Univ) VLD2020-52 CPSY2020-35 RECONF2020-71 |
Compressed sensing gives reduction of power consumption for electroencephalogram (EEG) measurement system. However, ocul... [more] | VLD2020-52 CPSY2020-35 RECONF2020-71 pp.75-79 |
| VLD, DC, RECONF, ICD, IPSJ-SLDM (Joint) [detail] |
2020-11-17 14:25 |
Online | Online | Energy-Efficient ECG Signals Outlier Detection Hardware Using a Sparse Robust Deep Autoencoder Naoto Soga, Shimpei Sato, HIroki Nakahara (Tokyo Tech) VLD2020-17 ICD2020-37 DC2020-37 RECONF2020-36 |
Advancements in portable electrocardiographs have allowed electrocardiogram (ECG) signals to be recorded in everyday lif... [more] | VLD2020-17 ICD2020-37 DC2020-37 RECONF2020-36 pp.36-41 |
| ET | 2020-03-07 11:00 |
Kagawa | National Institute of Technology, Kagawa Collage (Cancelled but technical report was issued) |
Development of an Assessment Support System for Detecting Changes of Self-Assessment Using Outlier Analysis Tetsuya Ebina, Yasuhiko Morimoto (Tokyo Gakugei Univ.) ET2019-78 |
In recent years, it has become necessary for students to prepare an outlook about their learning by reflecting on it thr... [more] | ET2019-78 pp.13-18 |
| VLD, DC, CPSY, RECONF, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC (Joint) [detail] |
2019-11-13 10:55 |
Ehime | Ehime Prefecture Gender Equality Center | VLD2019-31 DC2019-55 |
In testing of large scale integration (LSI) circuit, test escape detection using machine learning algorithms has been at... [more] | VLD2019-31 DC2019-55 pp.13-18 |
| EMCJ, MICT (Joint) |
2019-03-15 11:30 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Effect of the position and pressure on the accuracy of PPG-based heart rate sensor Yuzu Kuwahara, Masaya Kimoto, Takunori Shimazaki, Shinsuke Hara (Osaka City Univ.), Hiroyuki Yomo (Kansai Univ.) MICT2018-69 |
These days, because of its simplicity, noninvasiveness and unobtrusiveness, photoplethysmography (PPG) has been commonly... [more] | MICT2018-69 pp.5-10 |
| HWS, VLD | 2019-02-28 13:55 |
Okinawa | Okinawa Ken Seinen Kaikan | Model Compression for ECG Signals Outlier Detection Hardware trained by Sparse Robust Deep Autoencoder Naoto Soga, Shimpei Sato, Hiroki Nakahara (Titech) VLD2018-114 HWS2018-77 |
In recent years, portable electrocardiographs and wearable devices have begun to spread so that electrocar- diogram (ECG... [more] | VLD2018-114 HWS2018-77 pp.127-132 |
| VLD, DC, CPSY, RECONF, CPM, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC (Joint) [detail] |
2018-12-06 11:20 |
Hiroshima | Satellite Campus Hiroshima | Hardware implementation of ECG signals outlier detector trained by Sparse Robust Deep Autoencoder Naoto Soga, Shimpei Sato, Hiroki Nakahara (Titech) RECONF2018-42 |
Current ECG outlier detection is rule-based, there are many false positives, and it is necessary to study a new outlier ... [more] | RECONF2018-42 pp.45-50 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
Classification Algorithms for Generalized Label Noise Model with Unknown Parameter Tota Suko, Goki Yasuda, Shunsuke Horii, Manabu Kobayashi (Waseda Univ) IBISML2018-92 |
In classification problem, there is a case where noise is added to the label. The generalized label noise model is a mod... [more] | IBISML2018-92 pp.361-366 |
| SIS, IPSJ-AVM, ITE-3DMT [detail] | 2018-06-07 14:20 |
Hokkaido | Jozankei View Hotel | Estimation of heart rate variability parameters using pulse waved measured by smartphone cameras Yuichiro Tanaka, Akihiro Suzuki (Kyutech), Hirohisa Isogai (Kyushu Sangyo University), Masaaki Iwasaki (Bratech), Hakaru Tamukoh (Kyutech) SIS2018-4 |
Heart rate variability (HRV) parameters are used for analysing activations of autonomic nervous. Generally, the HRV para... [more] | SIS2018-4 pp.35-38 |
| RCC, MICT | 2018-05-24 13:00 |
Tokyo | Tokyo Big Sight | [Poster Presentation]
Effect of Fastening Belt Pressure on the Accuracy of Photoplethysmography-Based Heart Rate Sensing Yuzu Kuwahara, Masaya Kimoto, Takunori Shimazaki (Osaka City Univ.), Hiroyuki Yomo (Kansai Univ.), Shinsuke Hara (Osaka City Univ.) RCC2018-1 MICT2018-1 |
Photoplethysmography (PPG) is non-invasive and unobtrusive, so it has been commonly used for heart rate (HR) sensing dur... [more] | RCC2018-1 MICT2018-1 pp.1-6 |
| SANE | 2018-01-26 13:00 |
Nagasaki | Nagasaki Prefectural Art Museum | Removing outliers in phase based localization by cumulative residues and cyclic operation Takeshi Amishima, Tadashi Oshima, Tsubasa Terada, Nobuhiro Suzuki (Mitsubishi Electric Corp.) SANE2017-101 |
In this paper, we consider the problem of removing outliers from phase measurements in phase of arrival (POA) based loca... [more] | SANE2017-101 pp.89-94 |
| IBISML | 2017-11-10 13:00 |
Tokyo | Univ. of Tokyo | The Classification Problem in Generalized Label Noise Model Tota Suko, Shunsuke Horii (Waseda Univ) IBISML2017-87 |
In classification problem, there is a case where noise is added to the label. In this study, we proposes a general nois... [more] |
IBISML2017-87 pp.377-382 |
| PRMU, CNR | 2017-02-19 11:20 |
Hokkaido | [Poster Presentation]
Online algorithm of swallowing detection using close-range depth sensor Tsubasa Takai, Tomoya Sakai, Misako Higashijima (Nagasaki Univ) PRMU2016-183 CNR2016-50 |
We are developing an online algorithm of detecting and counting swallowing motions from a depth image sequence for cont... [more] |
PRMU2016-183 CNR2016-50 pp.163-164 |
|
| CPSY, RECONF, VLD, IPSJ-SLDM, IPSJ-ARC [detail] | 2017-01-24 16:55 |
Kanagawa | Hiyoshi Campus, Keio Univ. | FPGA Implementation of Mahalanobis Distance-Based Outlier Detection for Streaming Data Yuto Arai, Shin'ichi Wakabayashi, Shinobu Nagayama, Masato Inagi (Hiroshima City Univ.) VLD2016-91 CPSY2016-127 RECONF2016-72 |
This paper focuses on a method to detect outliers in streaming data, and proposes a fast FPGA implementation of outlier ... [more] | VLD2016-91 CPSY2016-127 RECONF2016-72 pp.141-146 |
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