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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IBISML | 2020-01-09 16:45 |
Tokyo | ISM | Application of tensor decomposition based unsupervised feature extraction to single cell RNA-seq analysis Y-h. Taguchi (Chuo Univ.)  IBISML2019-26 |
Cannonical correlation analysis (CCA) is known to integrate two matrices, each of which have elements, $x_{ij} in mathbb... [more] | IBISML2019-26 pp.55-59 |
| SANE | 2019-10-31 - 2019-11-01 |
Overseas | KOREA (Jeju) | Scattering Vector Parameterization for Rank-1 Decomposition of Polarimetric SAR Imagery Junjun Yin (USTB), Jian Yang (Tsinghua Univ.) SANE2019-61 |
In this study, we propose a new scattering vector parameterization method for interpreting coherent scattering. This new... [more] | SANE2019-61 pp.67-69 |
| PRMU, MI, IPSJ-CVIM [detail] | 2019-09-04 15:40 |
Okayama | Preliminary investigation on decomposition of individual muscles and bones of lower extremity from single radiograph using CycleGAN Naoki Nakanishi, Yuta Hiasa, Yoshito Otake (NAIST), Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST) PRMU2019-16 MI2019-35 |
Extraction of musculoskeletal structures of lower extremity from medical images is useful for quantitatively understandi... [more] | PRMU2019-16 MI2019-35 pp.25-30 |
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| NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] | 2019-06-18 10:25 |
Okinawa | Okinawa Institute of Science and Technology | Spatial-Temporal decomposition to resting and task MEG using DMD Fumiya Nakai (NAIST), Okito Yamashita (ATR) NC2019-13 IBISML2019-11 |
Magneto/electroencephalography (M/EEG) observe neural activities with high spatial-temporal resolution without invasive ... [more] | NC2019-13 IBISML2019-11 pp.51-56(NC), pp.73-78(IBISML) |
| LQE, OPE, SIPH | 2018-12-06 17:10 |
Tokyo | Keio University | Deposition of Ce:YIG on Si for Magneto-Optical Devices Michiomi Noguchi, Yuya Shoji, Tetsuya Mizumoto (Tokyo Tech) OPE2018-123 LQE2018-133 SIPH2018-39 |
We report the deposition of a polycrystalline Ce-monosubstituted Yttrium Iron Garnet (CeY2Fe5O12, Ce:YIG) by a direct de... [more] | OPE2018-123 LQE2018-133 SIPH2018-39 pp.131-134 |
| MBE, NC (Joint) |
2018-11-22 14:20 |
Kyoto | Validity Evaluation of Electrogastrography Generated with a Mathematical Model and Extraction Accuracy Evaluation of Gastric Electrical Activity Using Ensemble Empirical Mode Decomposition Masahiro Tatsuta, Ryo Kato, Kosuke Sasaki, Masaki Kyoso (Tokyo City Univ.) MBE2018-44 |
Our final goal is to develop an Electrogastrogram (EGG) signal extraction method aimed at evaluating autonomic nervous a... [more] | MBE2018-44 pp.41-46 |
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| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
Normal mode selection of coherent phonons by Bayesian LARS-OLS Itsushi Sakata, Yoshihiro Nagano (UTokyo), Yasushiko Igarashi (JST), Shin Murata (UTokyo), Kohji Mizoguchi (Osaka Prefecture Univ.), Ichiro Akai (Kumamoto Univ.), Masato Okada (UTokyo) IBISML2018-78 |
Coherent phonon (CP) signals contain normal modes representing the material property and experimental artifacts. It is p... [more] | IBISML2018-78 pp.255-262 |
| CAS, SIP, MSS, VLD | 2018-06-14 14:30 |
Hokkaido | Hokkaido Univ. (Frontier Research in Applied Sciences Build.) | New Matrix Factorization Method of DOSY for the Inhomogeneity Magnetic Field by using both the Eigenvalue Decomposition and the Approximation of the Diffusion Coefficient Yuho Tanaka, Kazunori Uruma (TUS), Tomoki Nakao (JEOL RESONANCE Inc.), Toshihiro Furukawa (TUS) CAS2018-9 VLD2018-12 SIP2018-29 MSS2018-9 |
Diffusion ordered 2D NMR spectroscopy (DOSY) estimates a diffusion coefficient and a spectrum by using nuclear magnetic ... [more] | CAS2018-9 VLD2018-12 SIP2018-29 MSS2018-9 pp.45-49 |
| NLP, CCS | 2018-06-08 09:45 |
Kyoto | Kyoto Terrsa | Application of tensor decomposition to chaotic itinerancy time series Takahiro Arai, Toshio Aoyagi (Kyoto Univ.) NLP2018-29 CCS2018-2 |
Tensor decomposition is a typical method for analyzing resting-state BOLD signals. This method can decompose the observe... [more] | NLP2018-29 CCS2018-2 pp.7-12 |
| EMCJ | 2018-04-13 14:00 |
Tokyo | Tokyo Institute of Technology | Analysis method for magnetically coupled loop system with relative motion for calculating electromagnetic induction by MAGLEV train Yoshimasa Sakai, Atsuhiro Nishikata, Masamitsu Tokuda (TIT) EMCJ2018-2 |
In order to solve the electromagnetic induction problem caused by moving magnetic field with high speed running MAGLEV t... [more] | EMCJ2018-2 pp.7-12 |
| SIP, EA, SP, MI (Joint) [detail] |
2018-03-19 13:00 |
Okinawa | [Poster Presentation]
The sound spot reproduction by recomposing decomposed signals using multiple loudspeaker arrays Kazuya Yasueda, Daisuke Shinjo, Akitoshi Kataoka (Ryukoku Univ.) EA2017-119 SIP2017-128 SP2017-102 |
We propose the sound spot reproduction method that is recomposing sub-signals decomposed input signal on the target spac... [more] | EA2017-119 SIP2017-128 SP2017-102 pp.107-110 |
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| SIP, EA, SP, MI (Joint) [detail] |
2018-03-20 09:00 |
Okinawa | [Poster Presentation]
Effective Frequency Bands and Features for Epileptic Focus Detectionfrom Interical Electrocorticogram Tatsunori Itakura, Shintaro Ito, Toshihisa Tanaka (TUAT), Hidenori Sugano (Juntendo Univ.) EA2017-159 SIP2017-168 SP2017-142 |
In this paper, we propose fast singular value decomposition (SVD) based on the Chebyshev polynomial approximation (CPA).... [more] | EA2017-159 SIP2017-168 SP2017-142 pp.311-316 |
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| SIP, EA, SP, MI (Joint) [detail] |
2018-03-20 15:20 |
Okinawa | Fast Singular Value Decomposition Using Polar Decomposition Based on Chebyshev Polynomial Approximation Masaki Onuki, Yuichi Tanaka (TUAT) EA2017-173 SIP2017-182 SP2017-156 |
In this paper, we propose fast singular value decomposition (SVD) based on the Chebyshev polynomial approximation (CPA).... [more] | EA2017-173 SIP2017-182 SP2017-156 pp.391-396 |
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| SIS | 2018-03-09 11:25 |
Aichi | Meijo Univ. Tempaku Campus | Improvement of QRM-MLD Method for MIMO Utilizing Noise Variance Ryotaro Konno, Yosuke Sugiura, Tetsuya Shimamura (Saitama Univ.) SIS2017-66 |
In this paper, we propose a new method for improving the bit error rate (BER) and the computational complexity in Maximu... [more] | SIS2017-66 pp.51-56 |
| RCS, SR, SRW (Joint) |
2018-02-28 11:30 |
Kanagawa | YRP | An OFDM system using nonlinear signal decomposition based on radio propagation characteristics and multiple antenna transmission Tatsunari Takeoka, Hideichi Sasaoka, Hisato Iwai (Doshisha Univ.) RCS2017-332 |
In a mobile communication environment, OFDM transmission system using signal decomposition and spatial composition, in w... [more] | RCS2017-332 pp.87-92 |
| SIP, IT, RCS | 2018-01-23 10:00 |
Kagawa | Sunport Hall Takamatsu | Evaluation of Eavesdropping Resistance in Secret Information Transmission Scheme Using Signal Decomposition and Spatial Vector Composition Kazuki Tsuji, Hideichi Sasaoka, Hisato Iwai (Doshisha Univ.) IT2017-85 SIP2017-93 RCS2017-299 |
As a countermeasure against eavesdropping in mobile communications, secret information transmission scheme using signal ... [more] | IT2017-85 SIP2017-93 RCS2017-299 pp.177-182 |
| PRMU, MVE, IPSJ-CVIM [detail] | 2018-01-18 18:05 |
Osaka | Convolutional Neural Network based on Entanglement Entropy and Convolutional Neural Network based on Principal Component Analysis Shu Eggchee, Masaru Tanaka (Fukuoka Univ.) PRMU2017-129 MVE2017-50 |
In this paper, we study the differences in the CNN performing processing in accordance with the data using the CNN and e... [more] | PRMU2017-129 MVE2017-50 pp.141-146 |
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| IBISML | 2017-11-09 13:00 |
Tokyo | Univ. of Tokyo | Calculation method for grid-structured markov random field using corner transfer matrix renormalization group Tomoharu Yoshida, Kazuho Watanabe, Kyoji Umemura (Toyohashi Univ. of Tech.) IBISML2017-37 |
Calculating the marginal distribution of the grid-structured markov random field model in probabilistic image processing... [more] | IBISML2017-37 pp.15-22 |
| IBISML | 2017-11-10 13:00 |
Tokyo | Univ. of Tokyo | Convolutional Neural Network with Entanglement Entropy Shu Eguchi, Masaru Tanaka (Fukuoka Univ.) IBISML2017-65 |
In this paper, we propose a CNN with a process to reduce unnecessary information to identify input data using entangleme... [more] | IBISML2017-65 pp.227-233 |
| IBISML | 2017-11-10 13:00 |
Tokyo | Univ. of Tokyo | Feature Extraction Using Empirical Mode Decomposition for Tire Sensing Keita Ishii, Takato Goto (BS), Matsui Tomoko (ISM), Gareth Peters (HW), Nourddine Azzaoui (UCA) IBISML2017-78 |
This paper describes a novel feature-extraction method for classifying road conditions by using acceleration signals tha... [more] | IBISML2017-78 pp.315-320 |
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