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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 79 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
OCS, LQE, OPE 2019-10-18
10:20
Kagoshima   Intelligent Monitoring of Optical Fiber Transmission Using Sparse Coding
Takayuki Nakachi, Yitu Wang, Tetsuro Inui, Takafumi Tanaka, Takahiro Yamaguchi, Katsuhiro Shimano (NTT) OCS2019-42 OPE2019-80 LQE2019-58
This paper proposes a sparse coding-based intelligent constellation diagram analyzer for optical fiber communications. I... [more] OCS2019-42 OPE2019-80 LQE2019-58
pp.77-82
MIKA
(2nd)
2019-10-03
13:35
Hokkaido Hokkaido Univ. [Invited Lecture] DOA Estimation Using Sparse Modeling
Toshihiko Nishimura, Seigi Nakatsu, Takeo Ohgane, Yasutaka Ogawa (Hokkaido Univ.)
The problem of estimating the direction of arrival (DOA) of radio waves from signals received by multiple antennas is a ... [more]
SIP, MI, IE 2019-05-23
13:00
Aichi   Optimum 2-D Sparse Array with Extended Aperture for Accurate DOA Estimation
Shogo Nakamura, Sho Iwazaki, Koichi Ichige (Yokohama Nat'l Univ.) SIP2019-1 IE2019-1 MI2019-1
We present a way of optimizing 2-D sparse array with extended aperture and its interpolation method based on simulated a... [more] SIP2019-1 IE2019-1 MI2019-1
pp.1-6
SIS 2019-03-06
15:10
Tokyo Tokyo Univ. Science, Katsushika Campus Secure Computation of Sparse Dictionary Learning
Takayuki Nakachi, Yukihiro Bandoh (NTT), Hitoshi Kiya (Tokyo Metro. Univ.) SIS2018-43
With the advent of the big data era, all digital contents continue to increase. Sparse modeling is drawing attention as ... [more] SIS2018-43
pp.35-40
NC, MBE
(Joint)
2019-03-05
16:40
Tokyo University of Electro Communications Influence of Alzheimer's Disease on Features of Waveforms in Pupil Light Reflex
Wioletta Nowak (Wroclaw Univ. of S&T), Minoru Nakayama (Tokyo Tech), Tomasz Krecicki (Wroclaw Medical Univ.), Andrzej Hachol (Wroclaw Univ. of S&T) MBE2018-103
Alzheimer's Disease (AD) patients were extracted using features of Pupil
Light Reflex (PLR) for 1 second chromatic sti... [more]
MBE2018-103
pp.89-92
PRMU, CNR 2019-03-01
13:45
Tokushima   Fast ADMM-L1 minimization method by using SMW formula
Naoya Chiba (Tohoku Univ.), Akira Imakura (Tsukuba niv.), Koichi Hashimoto (Tohoku Univ.) PRMU2018-131 CNR2018-54
The light ray propagation of a projector-camera system is described by Light Transport Matrix (LTM), which is often used... [more] PRMU2018-131 CNR2018-54
pp.95-98
RCS, SIP, IT 2019-01-31
10:15
Osaka Osaka University A Study on Regularization Parameter in OFDM Communication Using Sparse Channel Estimation
Kenta Kawahara, Takahiro Natori (Tokyo Univ. of Science), Takashi Yoshida (TMCIT), Akira Nakamura, Makoto Itami, Naoyuki Aikawa (Tokyo Univ. of Science) IT2018-38 SIP2018-68 RCS2018-245
In recent years, sparse estimation using signal sparsity, which is one solution to the inverse problem, attracts attenti... [more] IT2018-38 SIP2018-68 RCS2018-245
pp.19-24
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Estimation of Sparse Basis Representation for Non-periodic data
Shun Katakami, Hirotaka Sakamoto, Yasuhiko Igarashi, Masato Okada (Univ. Tokyo) IBISML2018-71
In this research, we propose a method to estimate a sparse basis representation for non-periodic data. For periodic data... [more] IBISML2018-71
pp.205-212
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) IBISML2018-87 A learning algorithm to perform sparse estimation method can estimate effective parameters of a polynomial regression mo... [more] IBISML2018-87
pp.321-328
SANE 2018-10-12
11:45
Tokyo The University of Electro-Communications Evaluation of Range Estimation Accuracy by Wideband Coherent Processing for Sparse Frequency Bands
Kazuhiro Watanabe, Manabu Akita, Takayuki Inaba (EUC) SANE2018-49
Ultra-wideband is becoming available in short range radar, and further higher resolution is expected by utilizing ultra-... [more] SANE2018-49
pp.29-34
IEE-CMN, EMM, LOIS, IE, ITE-ME [detail] 2018-09-27
13:50
Oita Beppu Int'l Convention Ctr. aka B-CON Plaza Image Patch Modeling in Encrypted Domain using Sparse Coding
Takayuki Nakachi (NTT), Hitoshi Kiya (Tokyo Metro. Univ.) LOIS2018-12 IE2018-32 EMM2018-51
Sparse coding represents observed signals effectively as a linear combination of a small number of bases which are chose... [more] LOIS2018-12 IE2018-32 EMM2018-51
pp.13-18
NLC, IPSJ-DC 2018-09-06
17:20
Tokyo Seikei University Latent co-occurrence words graph extraction using sparse structure estimation -- Comparison of word vectors between topic model and distributed representation --
Norimitsu Kubono, Nozomi Hiyoshi, Daiju Akashi (PERSOL CAREER) NLC2018-19
We are considering application of "structural topic model" in order to extract customer insight from member questionnai... [more] NLC2018-19
pp.51-56
ICSS, IA 2018-06-26
09:50
Ehime Ehime University Proposal of Sparse-Modeling based Approach for Betweenness Centrality Estimation
Ryotaro Matsuo, Ryo Nakamura, Hiroyuki Ohsaki (Kwansei Gakuin Univ.) IA2018-10 ICSS2018-10
In recent years, a statistical approach for estimating unobserved model parameters from a small number of observations u... [more] IA2018-10 ICSS2018-10
pp.61-66
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2018-06-13
16:15
Okinawa Okinawa Institute of Science and Technology Decoding Covert Spatial Attention using Privacy-preserving Sparse Coding
Takayuki Nakachi, Hiroyuki Ishihara (NTT), Hitoshi Kiya (Tokyo Metro. Univ.) NC2018-8
Brain-machine interface (BMI) has attracted much attention not only in biomedical engineering fields but also in ICT hum... [more] NC2018-8
pp.15-20
SIS, IPSJ-AVM, ITE-3DMT [detail] 2018-06-07
10:20
Hokkaido Jozankei View Hotel Secure Computation of Sparse Coding for Privacy Protection
Takayuki Nakachi (NTT), Hitoshi Kiya (Tokyo Metro. Univ.) SIS2018-2
Sparse coding represents observed signals effectively as a linear combination of a small number of bases which are chose... [more] SIS2018-2
pp.7-12
PRMU, MI, IE, SIP 2018-05-17
17:00
Gifu   [Invited Talk] Statistical Modeling of 3-D DFT Coefficients of Moving Images and Its Applications to Video Restoration
Takahiro Saito, Takashi Komatsu (Kanagawa Univ.) SIP2018-6 IE2018-6 PRMU2018-6 MI2018-6
Recently we have presented moving-image denoising with 3-D Mean-Separation-type Short-Time DFT and demonstrated that it ... [more] SIP2018-6 IE2018-6 PRMU2018-6 MI2018-6
pp.23-28
MBE, NC
(Joint)
2018-03-13
14:00
Tokyo Kikai-Shinko-Kaikan Bldg. A study of the histogram weighting for the real-time DUET method
Yoshiki Banno, Susumu Kuroyanagi (NIT) NC2017-74
In this paper, we discussed sound source separation method, as pre-processing of a danger perceive system. The method ha... [more] NC2017-74
pp.39-44
AP, WPT
(Joint)
2018-01-19
11:30
Nara ATR Performance Improvement by Two-step Search Method in DOA Estimation Based on Sparse Reconstruction
Toshiya Nasu, Nobuyoshi Kikuma, Kunio Sakakibara (NITech) AP2017-167
In recent years, researches for applying signal-processing techniques based on sparse reconstruction and compressed sens... [more] AP2017-167
pp.93-98
HCGSYMPO
(2nd)
2017-12-13
- 2017-12-15
Ishikawa THE KANAZAWA THEATRE Detection of Inattentive State Based on Change of Driving Behavior -- Study on Driving Behavior Model using GGM --
Konomi Takeyasu, Momoyo Ito (Tokushima Univ.), Kazuhito Sato (Akita Pref. Univ.), Shin-ichi Ito, Minoru Fukumi (Tokushima Univ.)
In recent years traffic fatality accidents caused by accidental driving are increasing. If it is possible to detect an i... [more]
IMQ 2017-10-06
16:15
Hyogo Kobe Univesity A study of estimation by sparse coding of dislocation regions in photoluminescence image of multicrystalline silicon
Hiroaki Kudo, Yusuke Hayama, Tetsuya Matsumoto (Nagoya Univ.), Kentaro Kutsukake (Tohoku Univ.), Noritaka Usami (Nagoya Univ.) IMQ2017-19
Increasing attention has been focused on a structure control of multicrystalline silicon wafers. In this report, we stud... [more] IMQ2017-19
pp.29-34
 Results 21 - 40 of 79 [Previous]  /  [Next]  
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