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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 42 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, MI, IE, SIP 2015-05-15
09:30
Mie   Second-Order Tensor Principal Component Analysis Meets Two-Dimensional Singular Value Decomposition
Hayato Itoh, Atsushi Imiya, Tomoya Sakai (Chiba Univ.) SIP2015-14 IE2015-14 PRMU2015-14 MI2015-14
We show that the second-order tensor principal component analysis is theoretically equivalent to the two-dimensional sin... [more] SIP2015-14 IE2015-14 PRMU2015-14 MI2015-14
pp.71-75
AP
(2nd)
2015-01-09
10:45
Overseas PTIT, Ho Chi Minh City, Vietnam [Invited Talk] Scattering component decomposition of Pol-SAR image by using multi-baseline SAR data -- Preliminary results on PiSAR2-X campaign in Niigata --
Hiroyoshi Yamada, Chizuru Komagata, Daisuke Sato, Yoshio Yamaguchi, Ryoichi Sato (Niigata Univ.), Shoichiro Kojima (NICT)
Polarimetric scattering component decomposition is one of the powerful tool in PolSAR image analysis. However, because o... [more]
AP, SANE
(Joint)
2014-08-29
10:25
Niigata Niigata University Satellite campus Development of speckle filter based on the four-component scattering power decomposition
Takuya Ochiai, Yoshio Yamaguchi, Hiroyoshi Yamada, Cui Yi (Niigata Univ.) SANE2014-56
Speckle noise in SAR images makes the image interpretation difficult and reduces the accuracy of terrain classification.... [more] SANE2014-56
pp.47-52
SP 2013-01-30
15:45
Kyoto Doshisha Univ. A Study on Speaker Recognition Based on Decomposition of Periodic and Aperiodic Components
Yuki Ishikawa, Masafumi Nishida (Doshisha Univ.), Masakiyo Fujimoto (NTT), Seiichi Yamamoto (Doshisha Univ.) SP2012-102
In conventional researches, mel-frequency cepstral coefficients (MFCC) are widely used for a feature parameter which app... [more] SP2012-102
pp.25-30
ITE-ME, ITE-AIT, IE [detail] 2012-11-15
15:20
Kagoshima Kagoshima Univ. Performance Improvement of Learning-based Super-resolution utilizing Total Variation Regularization Decomposition
Yuta Kawamoto, Shunji Miura, Yasutaka Sakuta, Tomio Goto, Masaru Sakurai (Nagoya Inst. of Tech.) IE2012-84
In this paper, we propose a new learning-based super-resolution method, which utilizes the Principal Components Analysis... [more] IE2012-84
pp.13-16
SANE 2011-01-28
11:30
Nagasaki Nagasaki Prefectural Art Museum Effect of Faraday rotation angle compensation on ALSO-PALSAR backscatter response and polarimetric target decomposition results
Gulab Singh, Yoshio Yamaguchi, Sang-Eun Park (Nigata Univ.) SANE2010-151
Faraday rotation can degrade the significant quality of the received SAR data in L-band. Therefore, an effect of Faraday... [more] SANE2010-151
pp.77-80
NLC, SP
(Joint) [detail]
2010-12-20
16:30
Tokyo National Olympics Memorial Youth Center Noise suppression method based on noise bias-residual decomposition and optimization
Masakiyo Fujimoto, Shinji Watanabe, Tomohiro Nakatani (NTT Corp.) NLC2010-18 SP2010-91
In this paper, we propose a non-stationary noise estimation method based on bias-residual component decomposition, and s... [more] NLC2010-18 SP2010-91
pp.43-48
SP 2010-11-19
09:45
Aichi Aichi Prefectural Univ. Method of Speech Signal Decomposition into Periodic Component and Aperiodic Component Considering Changes in Pitch and Power
Masahiro Morita, Takehiko Kagoshima (Toshiba) SP2010-79
For the purpose of improving the voice quality of text-to-speech (TTS), we have been considering ways to decompose a spe... [more] SP2010-79
pp.59-64
SANE 2010-10-27
14:00
Overseas Ramada Hotel, Jeju-do, Korea Glaciated terrain classification using modified four component scattering decomposition model
Gulab Singh, Yoshio Yamaguchi, Sang-Eun Park (Nigata University), Gopalan Venkataraman (Indian Inst. of Tech. Bombay) SANE2010-70
Glaciated terrain classification and change detection is the important parameter for hydrological and climate change mod... [more] SANE2010-70
pp.13-17
CAS, MSS, VLD, SIP 2010-06-21
16:10
Hokkaido Kitami Institute of Technology Reversible Component Transforms via an Interpretation of the LU Factorization
Hisakazu Kikuchi, Junghyeun Hwang, Shogo Muramatsu (Niigata Univ.) CAS2010-15 VLD2010-25 SIP2010-36 CST2010-15
A variant to a given irreversible linear transformation is defined based on the LU decomposition of a nonsingular matrix... [more] CAS2010-15 VLD2010-25 SIP2010-36 CST2010-15
pp.81-86
SANE 2010-05-21
13:55
Kanagawa National Defense Academy of Japan Target classification by polarimetric Through-the-Wall Radar
Hitoshi Ohkawa, Yuzuru Okubo, Yoshio Yamaguchi, Hiroyoshi Yamada (Niigata Univ.) SANE2010-11
Through-the-Wall Radar measure objects behind the wall. It is expected to detect a survivor at the time of a disaster an... [more] SANE2010-11
pp.7-12
AP 2010-01-22
15:45
Yamaguchi Yamaguchi University Pol-InSAR image analysis by using modified volume scattering model
Ryutaro Komaya, Hiroyoshi Yamada, Yoshio Yamaguchi (Niigata Univ.) AP2009-180
In recent years, microwave remote sensing attracts attention as a means to observe large surface area on the earth. Esp... [more] AP2009-180
pp.141-146
HIP 2009-12-18
14:55
Miyagi RIEC The decomposition of EEG activities corresponding to visuo-tactile integration process by Independent Component Analysis
Noriaki Kanayama (Univ. of Tokyo), Hideki Ohira (Nagoya Univ.), Kazuo Hiraki (Univ. of Tokyo) HIP2009-117
This study aimed to decompose the EEG activities related to the multimodal integration process. The participants were as... [more] HIP2009-117
pp.119-123
NC, MBE
(Joint)
2009-11-13
14:20
Miyagi Tohoku Univ. A Topographic Analysis of Human Scalp Alpha EEG by the Complex-valued ICA
Zhan Zhang, Norihiro Katayama, Kazuma Watanabe (Tohoku Univ.), Hiroto Nakatani (DENSO), Akihiro Karashima, Mitsuyuki Nakao (Tohoku Univ.) MBE2009-69
Sleepiness at the wheel is one of the causes of fatal crashes and highway accidents by car drivers. Since the EEG alpha ... [more] MBE2009-69
pp.41-46
SANE 2009-08-28
15:00
Kanagawa JAXA Sagamihara campus A Study on Detection of Urban Area using Polarization Orientation Angle
Noriaki Uchida, Kentaro Uchiyama, Yoshio Yamaguchi, Hiroyoshi Yamada (Niigata Univ.) SANE2009-59
In polarimetric synthetic aperture radar (POLSAR) observation, it is known radar cross section (RCS) is small and the po... [more] SANE2009-59
pp.37-42
AP 2007-10-19
13:25
Aomori Hirosaki Univ. Consideration on Scattering Model Decomposition by using ESPRIT method for Pol-InSAR Imaging
Hitoshi Onoda, Hiroyoshi Yamada, Yoshio Yamaguchi (Niigata Univ) AP2007-99
In recent years, the microwave remote sensing draw the attention as a means to observe the large ground surface area. In... [more] AP2007-99
pp.69-74
EA 2007-06-29
13:45
Hokkaido Hokkaido Univ. High performance blind source separation using an adaptive step-size parameter method
Hirofumi Nakajima, Kazuhiro Nakadai, Yuji Hasegawa, Hiroshi Tsujino (Honda Research Institute Japan) EA2007-30
This paper describes a novel blind source separation (BSS) method.
One of the most important factors in BSS performance... [more]
EA2007-30
pp.19-24
SANE 2006-10-27
15:45
Niigata Univ. of Niigata POLSAR Image Analysis of Wetlands using Four-component Scattering Model Decomposition
Yuki Yajima, Yoshio Yamaguchi, Ryoichi Sato, Hiroyoshi Yamada (Niigata Univ.) SANE2006-103
A method of four-component scattering model decomposition has been proposed for polarimetric SAR image analysis. In this... [more] SANE2006-103
pp.31-34
PRMU, HIP 2006-01-20
17:25
Osaka Osaka Univ. Equivalence between Non-Iterative Algorithms for Simultaneous Low Rank Approximations of Matrices
Kohei Inoue, Kiichi Urahama (Kyushu Univ.)
Recently, four non-iterative algorithms for simultaneous low rank approximations of matrices have been presented by seve... [more] PRMU2005-178 HIP2005-148
pp.171-176
MoNA, IN
(Joint)
2005-11-18
09:50
Fukuoka Fukuoka Institute of Technology Subspace Based Blind Identification Algorithm using CGM
Nari Tanabe (Toyama National College of Tech.), Toshihiro Furukawa (Tokyo University of Science), Shigeo Tsujii (Inst. of Information Security)
We propose a subspace based blind identification algorithm using CGM (conjugate gradient method). The algorithm estimate... [more] MoMuC2005-69
pp.65-68
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