Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
PRMU, IBISML, IPSJ-CVIM |
2024-03-03 09:36 |
Hiroshima |
Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
Sign language recognition using subspace representations Ryota Sato, Suzana Rita Alves Beleza (Univ. of Tsukuba), Erica Kido Shimomoto (AIST), Matheus Silva de Lima (Univ. of Tsukuba), Nobuko Kato (Tsukuba Univ. of Technology), Kazuhiro Fukui (Univ. of Tsukuba) PRMU2023-54 |
This paper proposes a subspace-based method for sign language recognition in videos.
The proposed method represents a ... [more] |
PRMU2023-54 pp.19-24 |
QIT (2nd) |
2023-12-19 11:15 |
Okinawa |
OIST (Primary: On-site, Secondary: Online) |
Unification and Improvement of Quantum Error Mitigation Methods via Generalized Quantum Subspace Expansion Shigeo Hakkaku (NTT), Nobuyuki Yoshioka (UTokyo), Yuuki Tokunaga, Suguru Endo (NTT) |
Numerous quantum error mitigation methods are proposed to make the most of noisy quantum devices that lack the capabilit... [more] |
|
QIT (2nd) |
2023-05-30 11:00 |
Kyoto |
Katsura Campus, Kyoto University |
Efficient measurement in quantum subspace expansion. Yuma Nakamura (IBM Japan), Yoshichika Yano, Nobuyuki Yoshioka (UTokyo) |
Estimation of physical observables for unknown quantum states is an important problem that underlies a wide range of fie... [more] |
|
AP |
2023-03-17 13:35 |
Toyama |
Toyama Prefectural Civic Hall (Primary: On-site, Secondary: Online) |
[Invited Talk (Young Researcher)]
Application of Advanced Linear Algebra Techniques to Array Signal Processing Changyu Zhou, Motoyuki Sato (Tohoku Unvi.) AP2022-248 |
In this paper, some advanced linear algebra techniques are introduced to improve the DOA estimation problems in the fiel... [more] |
AP2022-248 pp.81-86 |
QIT (2nd) |
2022-12-08 18:00 |
Kanagawa |
Keio Univ. (Primary: On-site, Secondary: Online) |
Quantum subspace expansion based on fermionic shadow tomography for k-RDM estimation Nayuta Takemori (Osaka Univ.), Nobuyuki Yoshioka (Tokyo Univ.), Wataru Mizukami (Osaka Univ.) |
The reduced density matrix in quantum many-body systems is extremely useful in elaborating physical properties, as it co... [more] |
|
PRMU |
2022-10-21 10:45 |
Tokyo |
Miraikan - The National Museum of Emerging Science and Innovation (Primary: On-site, Secondary: Online) |
Subspace based Anomaly Detection Takumi Kanai, Naoya Sogi (Univ. Tsukuba), Atsuto Maki (KTH), Kazuhiro Fukui (Univ. Tsukuba) PRMU2022-25 |
In this paper, we propose a change point detection method in time series data by incorporating the concept of difference... [more] |
PRMU2022-25 pp.18-23 |
NC, MBE (Joint) |
2021-11-26 15:50 |
Online |
Online |
An Influence of Individual Differences in EEG ERD/ERS Analysis in the Three Grasping Posture Task for Motor Rehabilitation Satoru Mishima, Kosei Shibata, Maria Rodalyn V. Sanchez (LSSE, Kyushu Institute of Technology), Hiroaki Wagatsuma (LSSE, Kyushu Institute of Technology/RIKEN CBS) NC2021-29 |
Electroencephalogram (EEG) is a way to inspect medical diagnoses such as epilepsy and then there is a further potential ... [more] |
NC2021-29 pp.7-12 |
SAT, SANE (Joint) |
2020-02-19 10:50 |
Okinawa |
|
Signal Subspace Classification Framework for Small UAV Surveillance Ryoma Yataka, Kazuki Hirashima, Takafumi Matsuda, Tai Tanaka, Masato Gocho, Masashi Shiraishi (MELCO) SANE2019-99 |
In this study, we focus on the classification problem of small radar targets. Persistent monitoring of a radar target re... [more] |
SANE2019-99 pp.13-18 |
IBISML |
2020-01-10 13:15 |
Tokyo |
ISM |
A Change Detection Method based on Temporal Variation of Subspace Geometry Honami Kanamori, Naoya Sogi, Kazuhiro Fukui (Univ. Tsukuba) IBISML2019-30 |
In this paper, we propose a change detection method on temporal variation of subspace geometry. In the proposed method, ... [more] |
IBISML2019-30 pp.83-89 |
MVE |
2019-08-29 15:10 |
Aichi |
|
[Short Paper]
Typicality analysis of a food within a food category based on its appearance Masamu Nakamura, Yasutomo Kawanishi (Nagoya Univ.), Keisuke Doman (Chukyou Univ.), Takatsugu Hirayama, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase (Nagoya Univ.) MVE2019-10 |
We propose a method to analyze the typicality of a food within its food category based on its appearance for supporting ... [more] |
MVE2019-10 pp.31-34 |
RCS |
2019-06-21 11:00 |
Okinawa |
Miyakojima Hirara Port Terminal Building |
Low-Complexity MMSE Channel Estimation in Massive MU-MIMO System Yunfeng Deng, Tomoaki Ohtsuki (Keio Univ.) RCS2019-90 |
In massive multi-user MIMO (MU-MIMO) systems,
the base station (BS) requires accurate channel state information
(CSI).... [more] |
RCS2019-90 pp.309-314 |
SANE |
2019-04-16 11:55 |
Kanagawa |
Defense Academy; Defense Training Institute |
Range Resolution Characteristics of Synthetic Bandwidth Radar Using Signal Subspace Estimation Takafumi Nagano (Mitsubishi Electric Corp.) SANE2019-7 |
This paper discusses range resolution characteristics of a synthetic bandwidth method for high range resolution radars w... [more] |
SANE2019-7 pp.33-36 |
PRMU, BioX |
2019-03-18 10:30 |
Tokyo |
|
Gait Recognition Based on Constraint Mutual Subspace Method with CNN Features Akinari Sakai, Naoya Sogi, Kazuhiro Fukui (University of Tsukuba) BioX2018-50 PRMU2018-154 |
In this paper, we propose a high performance gait recognition framework. In recent years, the gait recognition has attra... [more] |
BioX2018-50 PRMU2018-154 pp.125-130 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2018-09-21 09:40 |
Fukuoka |
|
Deep Learning and Related Technology
-- Subspace Method and Hebbian Learning Revisited -- Ken-ichi Maeda PRMU2018-49 IBISML2018-26 |
Deep Learning is recognised as the state-of-the-art AI technology, but it has several known problems. We discuss severa... [more] |
PRMU2018-49 IBISML2018-26 pp.89-96 |
SANE |
2018-05-14 11:25 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Synthetic Bandwidth Method for High Range Resolution Radars Based on Signal Subspace Estimation Takafumi Nagano, Yoshitsugu Sawa (Mitsubishi Electric Corp.) SANE2018-4 |
This paper proposes a synthetic bandwidth method for high range resolution radars which employ linear frequency modulati... [more] |
SANE2018-4 pp.19-22 |
MBE, NC, NLP (Joint) |
2018-01-26 15:50 |
Fukuoka |
Kyushu Institute of Technology |
Restricted Representation for Attentional Items of Feature Map Developed by a Self-Organizing Map Hiroshi Wakuya, Yuukou Tanaka, Hideaki Itoh (Saga Univ.) NC2017-56 |
A self-organizing map (SOM) can be seen as a signal converter preserving its topology between the input and output space... [more] |
NC2017-56 pp.35-40 |
PRMU, IE, MI, SIP |
2017-05-26 10:20 |
Aichi |
|
Deep Subspace Methods
-- Pattern Recognition using Hierarchical Structure of Linear Subspaces -- Hayato Itoh, Atsushi Imiya (Chiba Univ.), Tomoya Sakai (Ngasaki Univ.) SIP2017-18 IE2017-18 PRMU2017-18 MI2017-18 |
We introduce an new geodesic distance between images. This distance is defined as the Wasserstein distance between contr... [more] |
SIP2017-18 IE2017-18 PRMU2017-18 MI2017-18 pp.93-98 |
PRMU, BioX |
2017-03-20 10:00 |
Aichi |
|
Selection of Near-Boundary Data for Semi-Supervised Learning Ryohei Tanaka, Xiao Ding, Soichiro Ono, Akio Furuhata (Toshiba) BioX2016-33 PRMU2016-196 |
Semi-supervised learning (SSL) is a technique which makes use of unlabeled data in addition to labeled data to obtain be... [more] |
BioX2016-33 PRMU2016-196 pp.1-6 |
AP, WPT (Joint) |
2017-01-19 13:00 |
Hiroshima |
Hiroshima Institute of Technology |
Localization of Radio Terminals based on Leaky Coaxial Cable-MIMO Propagation Minoru Okada, Takeshi Higashino, Yafei Hou (NAIST) AP2016-130 |
LCX (Leaky Coaxial Cable) is an efficient technique capable of
establishing reliable wireless communication in closed ... [more] |
AP2016-130 pp.7-11 |
EST |
2016-09-09 13:30 |
Okinawa |
Ishigakishi-Shoko-Kaikan |
Performance of Preconditioned Linear Solver for Electromagnetic Field Analysis of Resonator Using Frequency-domain Finite Element Method
-- Characteristic of Some Preconditioners and Parallelization Technique -- Tomonori Tsuburaya (Fukuoka Univ.), Yoshifumi Okamoto (Hosei Univ.) EST2016-52 |
When the dielectric heating analysis based on frequency-domain finite element method (FEM) is performed, a linear solver... [more] |
EST2016-52 pp.265-270 |