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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 83  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MBE, NC
(Joint)
2022-03-02
09:55
Online Online NC2021-47 In this paper, we propose reconstructive reservoir computing (RRC), which can detect anomaly in time-series signals. In ... [more] NC2021-47
pp.5-10
MBE, NC
(Joint)
2022-03-02
15:20
Online Online NC2021-56 We propose a spin-wave antenna structure that penetrates a garnet film, which we named film-penetrating transducers (FPT... [more] NC2021-56
pp.50-55
MBE, NC
(Joint)
2022-03-02
15:45
Online Online NC2021-57 We propose a polarimetric remote sensing system to classify daily movements of humans such as walking and standing. We e... [more] NC2021-57
pp.56-61
SANE 2021-12-16
11:00
Chiba Chiba University
(Primary: On-site, Secondary: Online)
Flood Detection by use of Temporally Stacking of Synthetic Aperture Radar Interferometric Coherence
Yoshio Nishidate, Akira Hirose, Ryo Natsuaki (UTokyo) SANE2021-67
We propose a new method for detecting flood area by using Synthetic Aperture Radar (SAR). This method estimates the floo... [more] SANE2021-67
pp.23-28
SANE 2021-11-12
12:30
Online Online Landmine detection with model-based homogeneity to extend compressed sensing
Ryuta Imai, Yicheng Song, Ryo Natsuaki, Akira Hirose (Tokyo Univ.) SANE2021-55
This paper proposes model-based homogeneity (MBH) to extend compressed sensing (CS) for landmine-detection ground penetr... [more] SANE2021-55
pp.124-129
EMT, IEE-EMT 2021-11-05
11:15
Online Online Quaternion convolutional neural networks for PolSAR land classification
Yuya Matsumoto, Ryo Natsuaki, Akira Hirose (UTokyo) EMT2021-43
We propose a quaternion convolutional neural network (QCNN) for Polarimetric synthetic aperture radar
(PolSAR) land cla... [more]
EMT2021-43
pp.76-81
SANE 2021-08-27
11:05
Online Online Satellite Data Fusion for damage assessment and analysis of the significant features
Gunjan Joshi, Ryo Natsuaki, Akira Hirose (UT) SANE2021-29
Lately, the resolution and detection capabilities of remote sensing satellites specifically, synthetic aperture radars (... [more] SANE2021-29
pp.37-42
NC, MBE
(Joint)
2021-03-04
09:00
Online Online Proposal of higher-order tensor independent component analysis for MIMO remote sensing systems
Seishiro Goto, Ryo Natsuaki, Akira Hirose (The Univ. of Tokyo) NC2020-54
This paper proposes higher-order tensor independent component analysis (HOT-ICA). HOT-ICA is a tensor ICA that makes eff... [more] NC2020-54
pp.65-70
NC, MBE
(Joint)
2021-03-05
09:30
Online Online Quaternion neural networks for channel prediction including polarization states
Haotian Chen, Ryo Natsuaki, Akira Hirose (Tokyo Univ.) NC2020-64
Fading channel compensation requires channel prediction because channels change in time. In this paper, we ... [more] NC2020-64
pp.121-126
NC, MBE
(Joint)
2021-03-05
09:55
Online Online Aspect classification by using complex-valued reservoir computing
Bungo Konishi, Akira Hirose, Ryo Natsuaki (UT) NC2020-65
Synthetic aperture radar (SAR) is widely used for ground surface classification because of their information on vegetati... [more] NC2020-65
pp.127-132
NC, MBE
(Joint)
2021-03-04
14:10
Online Online Proposal of dielectric-loaded waveguide probes for non-invasive millimeter-wave blood glucose estimation using complex-valued neural networks
Seko Nagae, Akira Hirose (The Univ. of Tokyo) MBE2020-46
In this paper, we propose a dielectric-loaded waveguide probes for non-invasive millimeter-wave blood glucose monitoring... [more] MBE2020-46
pp.32-35
EMT, IEE-EMT 2020-11-05
13:25
Online Online Quaternion neural network for PolSAR land classification to deal with Stokes vectors adaptively
Yuya Matsumoto, Ryo Natsuaki, Akira Hirose (Univ. Tokyo) EMT2020-35
 [more] EMT2020-35
pp.43-48
SANE 2020-06-26
13:25
Online Online Ground penetrating radar system using phasor quaternion neural networks to visualize landmines
Yicheng Song, Akira Hirose (UTokyo) SANE2020-10
 [more] SANE2020-10
pp.7-12
SANE 2020-06-26
13:50
Online Online Land classification by quaternion convolutional neural network
Yuya Matsumoto, Ryo Natsuaki, Akira Hirose (Univ. Tokyo) SANE2020-11
 [more] SANE2020-11
pp.13-18
NC, MBE
(Joint)
2020-03-06
13:00
Tokyo University of Electro Communications
(Cancelled but technical report was issued)
Complex-valued reservoir computing for land form classification in interferometric synthetic aperture radar
Bungo Konishi, Akira Hirose, Ryo Natsuaki (UT) NC2019-109
(To be available after the conference date) [more] NC2019-109
pp.193-198
EMT, IEE-EMT 2019-11-07
15:15
Saga Hotel Syunkeiya Land classification using unsupervised quaternion neural network with neighbor pixel information
Jungmin Song, Ryo Natusaki, Akira Hirose (The Univ. of Tokyo) EMT2019-57
(To be available after the conference date) [more] EMT2019-57
pp.117-122
EMT, IEE-EMT 2019-11-07
15:40
Saga Hotel Syunkeiya ENHANCEMENT OF POLARIZATION MECHANISM IN PIXEL-BY-PIXEL PHASE OPTIMIZATION IN POLINSAR
Yuta Otsuka, Tomohiro Shimada, Ryo Natsuaki, Akira Hirose (Univ. Tokyo) EMT2019-58
We investigate the effect of polarization in the pixel-by-pixel phase optimization we proposed previously to reduce sing... [more] EMT2019-58
pp.123-128
MBE, NC 2019-10-12
10:25
Miyagi   Neural Networks with multiple feature extractors for monitoring tissue circulation
Yuki Sunaga, Jian Gu, Koici Kida, Akira Hirose, Yoko Tomioka, Masaki Sekino (The Univ. of Tokyo) MBE2019-40 NC2019-31
(To be available after the conference date) [more] MBE2019-40 NC2019-31
pp.53-57
NC, MBE
(Joint)
2019-03-05
10:20
Tokyo University of Electro Communications Reservoir computing devices that realize pattern information representation and processing directly in physics: Its advantages
Akira Hirose, Gouhei Tanaka (Tokyo Univ.), Seiji Takeda, Toshiyuki Yamane, Hidetoshi Numata, Naoki Kanazawa, JeanBenoit Heroux, Daiju Nakano (IBM Japan), Ryosho Nakane (Tokyo Univ.) NC2018-65
 [more] NC2018-65
pp.117-120
NC, MBE
(Joint)
2019-03-05
10:45
Tokyo University of Electro Communications Spatial distribution of effective information in spin-wave reservoir computing
Takehiro Ichimura, Ryosho Nakane, Gohei Tanaka, Akira Hirose (The Univ. of Tokyo) NC2018-66
This paper reports the spatial distribution of effective information for function learning in a spin-wave reservoir-compu... [more] NC2018-66
pp.121-126
 Results 1 - 20 of 83  /  [Next]  
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