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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 26  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IE, SIP, BioX, ITE-IST, ITE-ME [detail] 2021-06-04
11:15
Online Online Robust Constrained Hyperspectral Unmixing Using Multiple Regularizations
Yuki Nagamatsu, Shunsuke Ono (Tokyo Tech)
(To be available after the conference date) [more]
IE, SIP, BioX, ITE-IST, ITE-ME [detail] 2021-06-04
11:45
Online Online Frequency-domain Robust Principal Component Analysis
Manabu Sueyasu, Seisuke Kyochi (The Univ. of Kitakyushu), Shunsuke Ono (Tokyo Tech)
 [more]
EA, US, SP, SIP, IPSJ-SLP [detail] 2021-03-03
10:00
Online Online A Constrained Alternating Minimization Approach to End-to-End Graph Signal Denoising
Eisuke Yamagata, Shunsuke Ono (Titech) EA2020-59 SIP2020-90 SP2020-24
This paper proposes a denoising method for smooth graph signals observed on a graph of unknown topology. The proposed me... [more] EA2020-59 SIP2020-90 SP2020-24
pp.1-4
EA, US, SP, SIP, IPSJ-SLP [detail] 2021-03-03
10:25
Online Online Remote Sensing Data Restoration by Constraining the Gradients of Stripe Noise
Kazuki Naganuma, Saori Takeyama, Shunsuke Ono (Titech) EA2020-60 SIP2020-91 SP2020-25
This paper proposes an effective and efficient restoration methods for remote-sensing data by constraining the gradient ... [more] EA2020-60 SIP2020-91 SP2020-25
pp.5-8
EA, US, SP, SIP, IPSJ-SLP [detail] 2021-03-03
10:50
Online Online Design of Graph Signal Sampling Matrices for Arbitrary Signal Subspaces
Junya Hara, Koki Yamada (TUAT), Shunsuke Ono (TIT), Yuichi Tanaka (TUAT) EA2020-61 SIP2020-92 SP2020-26
We propose a design method of sampling matrices for graph signals that guarantees perfect recovery for arbitrary graph s... [more] EA2020-61 SIP2020-92 SP2020-26
pp.9-14
SP, EA, SIP 2020-03-03
15:25
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
Mixed norm minimization based on epigraphical projection
Seisuke Kyochi (The Univ. of Kitakyushu), Shunsuke Ono (Tokyo Tech) EA2019-165 SIP2019-167 SP2019-114
 [more] EA2019-165 SIP2019-167 SP2019-114
pp.373-378
SIP 2019-08-29
15:35
Tokyo   Using word co-occurrences for visualizing research trends
Marie Katsurai (Doshisha Univ.), Shunsuke Ono (Tokyo Institute of Tech.) SIP2019-43
Word co-occurrence statistics have been widely used to provide insight into the topic evolution in an arbitrary research... [more] SIP2019-43
pp.23-27
SIP, MI, IE 2019-05-23
13:25
Aichi   OCT Volumetric Data Restoration with 3-D Non-separable Oversampled Lapped Transforms
Yuta Yoshida, Genki fujii (Graduate School of Science and Tech., Niigata Univ.), Shogo Muramatsu, Samuel Choi (Niigata Univ.), Shunsuke Ono (Tokyo Institute of Tech.), Takeru Ota, Fumiaki Nin, Hiroshi Hibino (Niigata Univ.) SIP2019-2 IE2019-2 MI2019-2
 [more] SIP2019-2 IE2019-2 MI2019-2
pp.7-12
EA, SIP, SP 2019-03-15
13:30
Nagasaki i+Land nagasaki (Nagasaki-shi) [Poster Presentation] A compressed sensing approach to hyperspectral pansharpening
Saori Takeyama, Shunsuke Ono, Itsuo Kumazawa (Tokyo Tech) EA2018-137 SIP2018-143 SP2018-99
(To be available after the conference date) [more] EA2018-137 SIP2018-143 SP2018-99
pp.223-227
SIP 2018-08-20
14:25
Tokyo Takushoku Univ. Bunkyo Campus. Experiment on OCT Volumetric Data Restoration via Hierarchical Sparsity and Hard Constraint
Genki Fujii, Shogo Muramatsu, Samuel Choi (Niigata Univ.), Shunsuke Ono (Tokyo Tech.), Takeru Ota, Fumiaki Nin, Hiroshi Hibino (Niigata Univ.) SIP2018-58
In this report, we try to apply the restoration algorithm proposed in [1] to real observation data acquired byoptical co... [more] SIP2018-58
pp.7-12
PRMU, MI, IE, SIP 2018-05-17
15:15
Gifu   On OCT Volumetric Data Restoration via Hierarchical Sparsity and Hard Constraint
Shogo Muramatsu, Satoshi Nagayama, Samuel Choi (Niigata Univ.), Shunsuke Ono (Tokyo Institute of Tech.), Takeru Ota, Fumiaki Nin, Hiroshi Hibino (Niigata Univ.) SIP2018-3 IE2018-3 PRMU2018-3 MI2018-3
This work proposes a novel restoration method for optical coherence tomography (OCT) data. OCT is a measurement techniqu... [more] SIP2018-3 IE2018-3 PRMU2018-3 MI2018-3
pp.7-12
SIP, EA, SP, MI
(Joint) [detail]
2018-03-19
13:00
Okinawa   [Poster Presentation] A new hyperspectral pansharpening method using noisy panchromatic image
Saori Takeyama, Shunsuke Ono, Itsuo Kumazawa (Tokyo Inst. of Tech.) EA2017-127 SIP2017-136 SP2017-110
(To be available after the conference date) [more] EA2017-127 SIP2017-136 SP2017-110
pp.143-148
IE 2017-06-29
14:15
Okinawa   IE2017-27 (To be available after the conference date) [more] IE2017-27
pp.13-18
IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] 2017-02-21
14:30
Hokkaido Hokkaido Univ. Minimization of mixed norm for frequency spectrum of images and its application of pattern noise decomposition
Keiichiro Shirai (Shinshu Univ.), Shunsuke Ono (Tokyo Institute Tech.), Masahiro Okuda (Univ. Kitakyushu) ITS2016-57 IE2016-115
This paper deals with a mixed norm for complex vectors, i.e., the summation of amplitude spectrum, and its minimization ... [more] ITS2016-57 IE2016-115
pp.275-280
IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] 2017-02-21
14:45
Hokkaido Hokkaido Univ. Mixed noise removal of hyperspectral images by hybrid spatio-spectral total variation reguralization
Saori Takeyama, Shunsuke Ono, Itsuo Kumazawa (Tokyo Tech.) ITS2016-58 IE2016-116
Since hyperspectral image (HSI) contains rich spectral information, it has been recognized as a key technology in many f... [more] ITS2016-58 IE2016-116
pp.281-285
IE 2016-07-01
13:10
Okinawa   A constrained optimization approach to image restoration using blurred/noisy image pair
Saori Takeyama, Shunsuke Ono, Itsuo Kumazawa (Tokyo Tech.) IE2016-40
Existing image restoration methods with a blurred/noisy image pair do not fully exploit the information on both images i... [more] IE2016-40
pp.25-29
SIP, EA, SP 2015-03-03
09:00
Okinawa   [Poster Presentation] Image Restoration by Stochastic Proximal Optimization
Shunsuke Ono (Tokyo Tech.), Takamichi Miyata (Chiba Tech.), Itsuo Kumazawa (Tokyo Tech.) EA2014-98 SIP2014-139 SP2014-161
This report presents a stochastic proximal optimization framework for image restoration. Existing proximal optimization ... [more] EA2014-98 SIP2014-139 SP2014-161
pp.139-144
SIP, EA, SP 2015-03-03
09:00
Okinawa   [Poster Presentation] Fast image inpainting using Chebyshev polynomial approximation
Masaki Onuki (TUAT), Shunsuke Ono (Tokyo Tech.), Keiichiro Shirai (Shinshu Univ.), Yuichi Tanaka (TUAT) EA2014-99 SIP2014-140 SP2014-162
In this report, we propose a method of singular value filtering using Chebyshev polynomial approximation.Recent image pr... [more] EA2014-99 SIP2014-140 SP2014-162
pp.145-150
PRMU, CNR 2014-02-14
10:40
Fukuoka   [Special Talk] Convex Optimization for Applications to Image Analysis and Processing -- With a focus on effective utilization of the nuclear norm --
Shunsuke Ono, Masao Yamagishi, Isao Yamada (Tokyo Inst. of Tech.) PRMU2013-158 CNR2013-66
Remarkable advances in convex optimization have enabled us to handle large-scale (constrained) convex optimization probl... [more] PRMU2013-158 CNR2013-66
p.147
SIP 2013-08-29
14:10
Tokyo Tokyo University of Agriculture and Technology Overlapped Local Color Nuclear Norm And Its Constrained Use
Shunsuke Ono, Isao Yamada (Tokyo Inst. of Tech.) SIP2013-68
This report presents a generalization of the local color nuclear norm (G-LCNN) and proposes its constrained use for colo... [more] SIP2013-68
pp.13-16
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