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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
EST, MW, EMT, OPE, MWPTHz, IEE-EMT [detail] 2023-07-21
13:00
Hokkaido Muroran Institute of Technology
(Primary: On-site, Secondary: Online)
A Study on Topology Optimization of Nonlinear Optical Waveguide Device
Hayase Hirao, Akito Iguchi, Yasuhide Tsuji (Muroran IT) EMT2023-55 MW2023-73 OPE2023-55 EST2023-55 MWPTHz2023-51
All optical logic gates, which are challenging to design with linear material, are now possible with optical devices tha... [more] EMT2023-55 MW2023-73 OPE2023-55 EST2023-55 MWPTHz2023-51
pp.236-240
EST 2022-05-19
13:00
Tokyo Kikai-Shinko-Kaikan Bldg.
(Primary: On-site, Secondary: Online)
Topology Optimal Design of Optical Device Using Covariance Matrix Adaptation Evolution Strategy and Function Expansion Method
Hiroki Maruyama, Akito Iguchi, Yasuhide Tsuji (Muroran IT), Tatsuya Kashiwa (Kitami IT) EST2022-1
In order to develop high performance photonic devices, topology optimization method has been attracted a lot of attentio... [more] EST2022-1
pp.1-5
NC, MBE
(Joint)
2020-03-05
16:35
Tokyo University of Electro Communications
(Cancelled but technical report was issued)
Sparse STC estimation of suppressive elements for neurons in primary visual cortex
Reiji Tanaka (Osaka Univ.), Kota Sasaki (Osaka Univ./NICT), Hirotaka Sakamoto, Yoshihiro Nagano (Tokyo Univ.), Yonghao Yue (Aoyama Gakuin Univ.), Masato Okada (Tokyo Univ./RIKEN), Izumi Ohzawa (Osaka Univ./NICT) NC2019-102
To improve a functional model for visual neurons, we have been developing a novel technique (sparse STC) where a spike-t... [more] NC2019-102
pp.155-159
SP, EA, SIP 2020-03-02
10:10
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
Multichannel NMF with Joint-Diagonalizable Constraint Based on Generalized Gaussian Distribution for Blind Source Separation
Keigo Kamo, Yuki Kubo, Norihiro Takamune (UTokyo), Daichi Kitamura (NIT Kagawa), Hiroshi Saruwatari (UTokyo), Yu Takahashi, Kazunobu Kondo (Yamaha) EA2019-103 SIP2019-105 SP2019-52
Multichannel nonnegative matrix factorization (MNMF) is a blind source separation technique, which employs the full-rank... [more] EA2019-103 SIP2019-105 SP2019-52
pp.13-19
EA 2019-12-13
13:25
Fukuoka Kyushu Inst. Tech. Rank-constrained spatial covariance matrix estimation based on multivariate complex generalized Gaussian distribution and its acceleration for blind speech extraction
Yuki Kubo, Norihiro Takamune (UTokyo), Daichi Kitamura (NIT, Kagawa), Hiroshi Saruwatari (UTokyo) EA2019-78
In this paper, we generalize a generative model in rank-constrained spatial covariance matrix estimation that separates ... [more] EA2019-78
pp.85-92
EA, ASJ-H 2019-10-28
14:00
Tokyo NHK Science&Technology Research Lab. FastMNMF based on multivariant complex Student's t distribution for blind source separation
Keigo Kamo, Yuki Kubo, Norihiro Takamune (UTokyo), Daichi Kitamura (Kagawa NCIT), Hiroshi Saruwatari (UTokyo), Yu Takahashi, Kazunobu Kondo (Yamaha) EA2019-40
FastMNMF is a blind source separation technique, which is an accelerated algorithm of multichannel nonnegative matrix fa... [more] EA2019-40
pp.23-29
US 2016-10-07
14:55
Fukushima College of Eng., Nihon Univ. A Method for Combining Sub-Array Averaging with Sub-Aperture Beamforming in Adaptive Beamformer
Hideyuki Hasegawa (Univ. Toyama) US2016-45
We have increased the temporal resolution of ultrasonic imaging to more than 1 kHz for accurate measurement of tissue dy... [more] US2016-45
pp.7-10
PRMU, IPSJ-CVIM, MVE [detail] 2015-01-22
15:50
Nara   Covariance matrix estimation for multivariate Gaussian process regression
Yuki Matsumura, Toshikazu Wada (Wakayama Univ.) PRMU2014-98 MVE2014-60
Gaussian process regression is a nonlinear regression that estimates the expected value of the of the output and its var... [more] PRMU2014-98 MVE2014-60
pp.117-122
AP, SANE
(Joint)
2014-08-29
14:05
Niigata Niigata University Satellite campus [Invited Lecture] On the Covariance Matrix in Array Signal Processing
Koichi Ichige, Yu Iwabuchi (Yokohama National Univ.) AP2014-87 SANE2014-60
This paper introduces the relation between the covariance matrix elements in array signal processing. Also we develop a ... [more] AP2014-87 SANE2014-60
pp.85-90(AP), pp.71-76(SANE)
PRMU, IBISML, IPSJ-CVIM [detail] 2013-09-02
10:00
Tottori   A proposal of simple correcting scheme for sample Mahalanobis distances using Delta method
Yasuyuki Kobayashi (Teikyo Univ.) PRMU2013-37 IBISML2013-17
In statistical machine learning technology, it is difficult to ignore errors between sample Mahalanobis distances estima... [more] PRMU2013-37 IBISML2013-17
pp.25-30
PRMU, MVE, IPSJ-CVIM
(Joint) [detail]
2013-01-24
14:45
Kyoto   Vector output estimation by Gaussian Process Regression using dynamic Active Set
Yuki Matsumura, Toshikazu Wada (Wakayama Univ.), Shunji Maeda, Hisae Shibuya (Hitachi) PRMU2012-120 MVE2012-85
This report presents a method to estimate vector outputs in the framework of Gaussian Process Regression (GPR) . GPR is ... [more] PRMU2012-120 MVE2012-85
pp.317-322
EA 2012-06-08
14:05
Shizuoka Yamaha Co. Underdetermined DOA estimation by the non-linear MUSIC based on higher-order moment analysis
Yuya Sugimoto, Shigeki Miyabe, Takeshi Yamada, Shoji Makino (Univ. Tsukuba) EA2012-41
This paper describes a new approach to extend MUltiple SIgnal Classification (MUSIC) to underdeter-mined direction-of-ar... [more] EA2012-41
pp.49-54
RCS, NS
(Joint)
2011-07-21
11:05
Hokkaido Asahikawa Civic Culture Hall Investigation of Interference Rejection Combining Receiver to Suppress Inter-cell Interference in LTE-Advanced Downlink
Yusuke Ohwatari, Nobuhiko Miki, Takahiro Asai, Tetsushi Abe (NTT DOCOMO), Hidekazu Taoka (DOCOMO Euro Lab) RCS2011-80
The interference rejection combining (IRC) receiver is effective in improving the cell-edge user throughput because it s... [more] RCS2011-80
pp.31-36
EA 2010-12-10
13:45
Ibaraki Univ. of Tsukuba Diffuse noise robust multiple source localization based on noise reduction in covariance matrix domain
Nobutaka Ito (Univ. Tokyo), Emmanuel Vincent (INRIA Rennes), Nobutaka Ono (Univ. Tokyo), Remi Gribonval (INRIA Rennes), Shigeki Sagayama (Univ. Tokyo) EA2010-102
In this paper, we propose a method for estimating the azimuths of multiple sound sources accurately even in the presence... [more] EA2010-102
pp.31-36
IMQ
(2nd)
2010-10-29
14:10
Hyogo   Color Transformation of Digital Image
Shinya Oketani (Kyoto Pref. Technology Center/Kyoto Institute of Technology), Kazuhiro Fujita (Ryukoku Univ.), Koji Shinomiya (Hyogo Pref. Police H.Q.), Nobuyuki Nakamori, Kazunari Morimoto, Weiwei Du (Kyoto Institute of Technology)
We propose a method to transfer the color shade of a object image to one of a reference image by matching their RGB ave... [more]
SANE 2010-10-27
15:20
Overseas Ramada Hotel, Jeju-do, Korea Decomposition technique considering azimuth rotation for polarimetric SAR image analysis
Toshifumi Moriyama, Hiroaki Matsushita (Nagasaki Univ.) SANE2010-82
This report deals with a polarimetric decomposition considering azimuth rotation based on evolutionary algorithm. Polari... [more] SANE2010-82
pp.81-86
NLP, CAS 2006-10-04
15:55
Osaka   Design of Extended Recursive Wiener Fixed-Point Smoother and Filter in Continuous-Time Stochastic Systems
Seiichi Nakamori (Kagoshima Univ.)
This paper designs the extended recursive Wiener fixed-point smoother and
filter in continuous-time wide-sense stationa... [more]
CAS2006-29 NLP2006-52
pp.49-53
EA 2006-08-09
11:30
Miyagi   Criterion obtained from wavefront by circular microphone array for estimating acoustic-sound-source location
Ryuudou Nagase (CIT), Kunio Oishi (TUT), Hajime Kubota (CIT)
This paper proposes a new circular microphone array model in which the distance between the array and sound source can b... [more] EA2006-36
pp.11-16
SANE 2005-03-05
10:25
Overseas KARI, Daejeon, Korea Four-Component Scattering Model for Polarimetric SAR Image Decomposition based on Asymmetric Covariance Matrix
Yoshio Yamaguchi, Motoi Ishido, Hiroyoshi Yamada (Niigata Univ.)
Covariance matrix approach is suitable for statistical polarimetric SAR image analysis. A four-component scattering mode... [more] SANE2004-119
pp.19-24
AP 2004-09-09
16:00
Kanagawa National Defense Academy in JAPAN A Proposal of Four-Component Scattering Model for Polarimetric SAR Image Decomposition
Yoshio Yamaguchi (Niigata Univ.), Toshifumi Moriyama (NICT), Motoi Ishido, Hiroyoshi Yamada (Niigata Univ.)
Covariance matrix approach is suited for statistical polarimetric SAR image analysis. A four-component scattering model ... [more] AP2004-132
pp.47-52
 Results 1 - 20 of 20  /   
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