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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 68  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, MBE
(Joint)
2024-03-12
10:25
Tokyo The Univ. of Tokyo
(Primary: On-site, Secondary: Online)
Investigation of high resolutional animal MRI using micro transmit/receive coil
Kazuhiro Nakamura, Toshibumi Kinoshita (Akita Noken) MBE2023-76
In order to recognize the perivascular space perfusion, we need a method for combined evaluation of MRI and flurescence ... [more] MBE2023-76
pp.42-45
SIS 2023-12-08
14:40
Aichi Sakurayama Campus, Nagoya City University
(Primary: On-site, Secondary: Online)
[Invited Talk] Maximum Likelihood DOA Estimation
Masakiyo Suzuki (Kitami Inst. Technol.) SIS2023-44
DOA estimation of narrow band signals based on Maximum Likelihood method is formulated using arrival signals modeled as ... [more] SIS2023-44
pp.111-116
MBE 2023-07-22
15:25
Okayama Kawasaki University of Medical Welfare A new fNIRS measurement equipment for improving spatial resolution and removal of systemic components by using near skin blood flow as a reference signal
Rui Taniguchi, Takeshi Kohama, Hisashi Yoshida (Kindai Univ.) MBE2023-21
We propose a new fNIRS measurement system that uses proximity skin blood flow as a reference signal to improve spatial r... [more] MBE2023-21
pp.22-26
R 2023-03-10
15:50
Hiroshima
(Primary: On-site, Secondary: Online)
Search Space Reduction using Neighborhood in Genetic Algorithm
Natsumi Takahashi, Tetsushi Yuge (NDA), Tomoaki Akiba (CIT) R2022-54
In this study, we consider two-objective network design problem with all-terminal reliability and construction costs. Th... [more] R2022-54
pp.37-40
MI 2023-03-06
09:57
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
Multi-label multi-class estimation of pathology in high-resolution chest CT images using SRGAN
Tetsuya Asakawa, Riku Tsuneda, Yuki Sugimoto (TUT), Kazuki Shimizu, Takuyuki Komoda (THC), Masaki Aono (TUT) MI2022-76
The purpose of this research, three pathologies (thickening, calcification, and cavitation) were accurately estimated as... [more] MI2022-76
pp.14-19
AI 2022-09-16
15:45
Shizuoka
(Primary: On-site, Secondary: Online)
An image restoration method for lecture videos with projected lecture slides
Yuma Ito, Masato Kikuchi, Tadachika Ozono (NIT) AI2022-32
The lecturers can use their body movements and gestures in the lectures with slides displayed using a projector in the r... [more] AI2022-32
pp.79-84
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] 2022-02-21
15:20
Online Online Resolution in 3D super-resolution projection using single-lens spatial cross modulation method
Xinruinan Zhang, Atsushi Okamoto (Hokkaido Univ.), Hisatoshi Funakoshi (Gifu Univ.), Shuanglu Zhang, Akihisa Tomita (Hokkaido Univ.)
Spatial cross modulation (SCMM) can regenerate optical complex amplitudes by combining a single spatial light modulator ... [more]
SANE 2020-04-22
11:40
Online Online Highly Precise and High-Resolution Measurement of Direction of Arrival by Using a Rotating Antenna -- Result of Receiving and Processing Radio Waves from H-IIB Launch Vehicle on Launch Pad --
Toshihiro Sezai, Kohtaroh Sugizono, Tomonori Ichikawa, Koji Sunami (JAXA) SANE2020-5
One of the authors devised a method for the highly precise and high-resolution measurement of radio wave information by ... [more] SANE2020-5
pp.25-29
PRMU 2019-10-18
14:50
Tokyo   From Cats to Cars: A Data Set Generation Strategy for U-net based Autonomous Driving
Hiroki Hiraoka, Atsushi Imiya (Chiba Univ.) PRMU2019-38
The deep convolutional neural networks (DCNNs)
require data to supervise the network structures.
A semi-automatic da... [more]
PRMU2019-38
pp.35-40
SIS, IPSJ-AVM, ITE-3DMT [detail] 2019-06-13
14:25
Nagasaki Fukue Culture Center Single Image Super-Resolution for being flexible to downsampling kernel by using self-examplers
Shogo Seta, Takuro Yamaguchi, Masaaki Ikehara (Keio Univ) SIS2019-6
We propose a fast single super resolution which is comparable image quality with conventional methods without being bas... [more] SIS2019-6
pp.29-34
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
IMQ, HIP 2018-07-20
13:30
Hokkaido Sapporo City University, Satellite Campus [Invited Lecture] Inpainting based on low-dimensional image approximation and its applications
Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) IMQ2018-5 HIP2018-32
This paper introduces inpainting based on low-dimensional image approximation and its applications. Specifically, low-di... [more] IMQ2018-5 HIP2018-32
pp.1-4
R 2018-05-25
16:20
Aichi Aichi Institute of Technology, Motoyama Campus Search Space Restriction by Spanning Tree in Multi-Objective Network
Natsumi Takahashi (Aoyama Gakuin Univ.), Tomoaki Akiba (Chiba Inst. of Tech.), Hisashi Yamamoto (Tokyo Metropolitan Univ.), Shao-Chin Sung (Aoyama Gakuin Univ.) R2018-6
Many networks have been applied extensively in the real world, for example, scheduling of a production and distribution ... [more] R2018-6
pp.31-36
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
SANE 2018-05-14
13:15
Tokyo Kikai-Shinko-Kaikan Bldg. Closely Spaced Multiple Target Tracking with Super-Resolution DoA Estimation using Multiple Hypothesis
Masanari Nakamura, Tetsutaro Yamada, Yasushi Obata, Hiroshi Kameda (Mitsubishi Electric Corp.) SANE2018-6
In this paper, we propose multiple target tracking algorithm for dense targets which move toward the radar. When FBSSP-M... [more] SANE2018-6
pp.29-34
MBE, NC
(Joint)
2018-03-14
10:00
Tokyo Kikai-Shinko-Kaikan Bldg. Hierarchical quaternion neural networks with self-organizing codebook for unsupervised PolSAR land classification
Hyunsoo Kim, Akira Hirose (Tokyo Univ.) NC2017-88
We propose a self-organizing codebook-based hierarchical polarization feature vector generation to realize an unsupervis... [more] NC2017-88
pp.121-126
R 2017-10-20
16:20
Kumamoto   Search for Optimal Construction Network with Multi-Objective Functions
Natsumi Takahashi (Aoyama Gakuin Univ.), Tomoaki Akiba (Chiba Inst. of Tech.), Hisashi Yamamoto (Tokyo Metropolitan Univ.), Shao-Chin Sung (Aoyama Gakuin Univ.) R2017-49
Many networks have been applied extensively in the real world, for example, scheduling of a production and distribution ... [more] R2017-49
pp.29-33
EA, US
(Joint)
2017-01-25
13:00
Kyoto Doshisha Univ. [Poster Presentation] Listening-area-informed sound field reproduction -- A case study on arbitrary configuration and directivity of loudspeakers --
Natsuki Ueno, Shoichi Koyama, Hiroshi Saruwatari (Univ. Tokyo) EA2016-69
A sound field reproduction method using prior information on listening areas is proposed. Most current methods aim to re... [more] EA2016-69
pp.7-12
MI 2017-01-18
10:41
Okinawa Tenbusu Naha [Short Paper] Super Resolution of MR images via Optimization in Fourier Domain with Low Rank and Smoothness of Image Space
Naoki Kawamura, Tatsuya Yokota, Hidekata Hontani (NITech) MI2016-74
We use MR images of the same object measured with different magnetic gradient directions in order to construct a MR imag... [more] MI2016-74
pp.19-20
IMQ 2016-12-16
14:20
Tokyo Tokyo University of Technology Application of Classification Algorithm for the Image Quality Assessment of Multi-view 3D CG Images and 5K Images by Using S-CIELAB Color Space
Norifumi Kawabata, Masaru Miyao (Nagoya Univ.) IMQ2016-18
Toward the 2020 Tokyo Olympic Games, it is expected that general broadcasting of 4K picture quality will be started. The... [more] IMQ2016-18
pp.13-18
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