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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 29  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SP, IPSJ-SLP, EA, SIP [detail] 2023-03-01
(Primary: On-site, Secondary: Online)
Multiscale Manifold Clustering and Embedding with Multiple Kernels
Kyohei Suzuki, Masahiro Yukawa (Keio Univ.) EA2022-123 SIP2022-167 SP2022-87
This paper presents a clustering and embedding method to analyze data which lie on a union of multiple manifolds having ... [more] EA2022-123 SIP2022-167 SP2022-87
SRW 2022-08-22
Online Online [Invited Talk] Towards Future-Generation Wireless Communication Technology with Multikernel Adaptive Filter -- Partially Linear Filter for Robust Multiuser Detection --
Masahiro Yukawa (Keio Univ.) SRW2022-15
This review article presents a comprehensive overview of our recent developments for nonlinear multiuser detection using... [more] SRW2022-15
SP, EA, SIP 2020-03-02
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
[Poster Presentation] A Robust Approach to Jointly-Sparse Signal Recovery Based on Minimax Concave Loss Function
Kyohei Suzuki, Masahiro Yukawa (Keio Univ.) EA2019-122 SIP2019-124 SP2019-71
We propose a robust approach to recovering the jointly sparse signals in the presence of outliers. The proposed approach... [more] EA2019-122 SIP2019-124 SP2019-71
EA, SIP, SP 2019-03-14
Nagasaki i+Land nagasaki (Nagasaki-shi) Beamforming for Brain-Activity Reconstruction under Time-Correlated Interference
Takehiro Kono (Keio Univ.), Masahiro Yukawa (Keio Univ./Riken), Tomasz Piotrowski (Nicolaus Copernicus Univ./Interdisciplinary Center for Modern Te) EA2018-116 SIP2018-122 SP2018-78
We consider the problem of reconstruction of brain activity from non-invasive electroencephalography (EEG) signals using... [more] EA2018-116 SIP2018-122 SP2018-78
EA, SIP, SP 2019-03-14
Nagasaki i+Land nagasaki (Nagasaki-shi) [Poster Presentation] An Efficient Online Learning Method Based on Self-tuned Gaussian Kernels
Masaaki Takizawa, Masahiro Yukawa (Keio Univ.) EA2018-117 SIP2018-123 SP2018-79
 [more] EA2018-117 SIP2018-123 SP2018-79
(Joint) [detail]
Okinawa   [Poster Presentation] Nonnegative Matrix Factorization for Determined Multichannel Systems under Reverberant Environments
Hideaki Kagami (Keio Univ.), Hirokazu Kameoka (NTT), Masahiro Yukawa (Keio Univ.) EA2017-153 SIP2017-162 SP2017-136
 [more] EA2017-153 SIP2017-162 SP2017-136
SIP, CAS, MSS, VLD 2017-06-20
Niigata Niigata University, Ikarashi Campus On Contributions of Principal Eigenfunctions of Covariance Operator of Kernel Feature Vectors to Relevant Information in Nonlinear Regression
Masahiro Yukawa (Keio Univ.), Klaus-Robert Muller (TU BerlinTechnical U) CAS2017-16 VLD2017-19 SIP2017-40 MSS2017-16
We study, through simple non-asymptotic arguments, the contributions of eigenfunctions of the covariance operator of ker... [more] CAS2017-16 VLD2017-19 SIP2017-40 MSS2017-16
SP, SIP, EA 2017-03-01
Okinawa Okinawa Industry Support Center [Poster Presentation] A Simple Self-Tuning Technique for Adaptive Proximal Forward-Backward Splitting
Kwangjin Jeong, Masahiro Yukawa (Keio Univ.), Masao Yamagishi, Isao Yamada (Tokyo Inst. Tech.) EA2016-94 SIP2016-149 SP2016-89
 [more] EA2016-94 SIP2016-149 SP2016-89
SP, SIP, EA 2017-03-01
Okinawa Okinawa Industry Support Center [Invited Talk] Multikernel Adaptive Filtering: Signal Processing and Machine Learning
Masahiro Yukawa (Keio Univ.) EA2016-113 SIP2016-168 SP2016-108
We present the multikernel adaptive filtering and introduce its recent advances. Multikernel adaptive filtering is a rec... [more] EA2016-113 SIP2016-168 SP2016-108
SIP, EA, SP 2015-03-03
Okinawa   [Poster Presentation] RIP Conditions for Exact Recovery of Group-Sparse Vectors under Two Sets of Non-Overlapping Groups
Keiji Furuya, Masahiro Yukawa (Keio Univ.), Masao Yamagishi, Isao Yamada (Tokyo Tech.) EA2014-86 SIP2014-127 SP2014-149
 [more] EA2014-86 SIP2014-127 SP2014-149
RCS, SIP 2014-01-23
Fukuoka Kyushu Univ. Cartesian Multikernel Adaptive Filtering
Masahiro Yukawa (Keio Univ.) SIP2013-104 RCS2013-274
The new concept of Cartesian multikernel adaptive filtering which employs $Q$ positive definite kernels is presented. Th... [more] SIP2013-104 RCS2013-274
SIP 2013-08-29
Tokyo Tokyo University of Agriculture and Technology On Tracking Input Range Variations in Multikernel Adaptive Filtering
Ryu-ichiro Ishii (Niigata Univ.), Masahiro Yukawa (Keio Univ.), Shigenobu Sasaki (Niigata Univ.) SIP2013-70
 [more] SIP2013-70
SIP, CAS, CS 2013-03-14
Yamagata Keio Univ. Tsuruoka Campus (Yamagata) SUPERVISED NMF AS A SPARSE OPTIMIZATION PROBLEM
Yu Morikawa, Masahiro Yukawa (Niigata Univ.) CAS2012-114 SIP2012-145 CS2012-120
In this paper, we propose a novel scheme to supervised nonnegative
matrix factorization (NMF). We formulate the supervi... [more]
CAS2012-114 SIP2012-145 CS2012-120
SIP, RCS 2013-02-01
Hiroshima Viewport-Kure-Hotel (Kure) Multikernel Adaptive Filtering with Double Regularization
Masahiro Yukawa, Ryu-ichiro Ishii (Niigata Univ.) SIP2012-105 RCS2012-262
We propose an efficient multikernel adaptive filtering algorithm with double regularizers. One is a block L1 norm for ke... [more] SIP2012-105 RCS2012-262
CAS, CS, SIP 2012-03-09
Niigata The University of Niigata A Note on Multi-Kernel Adaptive Learning Based on RKHS Projection
Ryu-ichiro Ishii, Masahiro Yukawa (Niigata Univ.) CAS2011-163 SIP2011-183 CS2011-155
A multi-kernel adaptive learning based on RKHS projection (MKAL-RKHS) is investigated. It is first shown that the existi... [more] CAS2011-163 SIP2011-183 CS2011-155
MSS, CAS, VLD, SIP 2011-07-01
Okinawa Okinawa-Ken-Seinen-Kaikan How Is Gain of Hybrid Sparse Adaptive Filtering Algorithm Affected by Input Correlation?
Osamu Toda, Masahiro Yukawa (Niigata Univ.) CAS2011-32 VLD2011-39 SIP2011-61 MSS2011-32
We propose a simple adaptive controlling technique for the weighting parameters that govern the metric employed in the h... [more] CAS2011-32 VLD2011-39 SIP2011-61 MSS2011-32
EA, SIP, SP 2011-05-12
Osaka Ritsumeikan Univ. Multi-Kernel NLMS Algorithm with Coherence Criterion and Its Application to Online Prediction of Time Series Data
Masahiro Yukawa (Niigata Univ.) EA2011-14 SIP2011-14 SP2011-14
In this paper, we propose a nonlinear adaptive filtering algorithm using multiple kernels. The proposed algorithm is a g... [more] EA2011-14 SIP2011-14 SP2011-14
CS, SIP, CAS 2011-03-03
Okinawa Ohhamanobumoto memorial hall (Ishigaki)( Fast and Efficient Interference Suppression by Uniform Linear Array Based on Dual-Domain Adaptive Filtering Technique
Masahiro Yukawa (Niigata Univ.), Isao Yamada (Tokyo Inst. of Tech) CAS2010-123 SIP2010-139 CS2010-93
We propose an efficient adaptive beamforming algorithm based on the dual-domain adaptive filtering approach (Yukawa et a... [more] CAS2010-123 SIP2010-139 CS2010-93
SIP, RCS 2011-01-20
Kagoshima   A Numerical Study on Online Regression with Multiple Kernels
You Nakajima, Masahiro Yukawa (Niigata Univ.) SIP2010-91 RCS2010-221
In this paper, we investigate by simulations the potential performance of an online learning technique with multiple ker... [more] SIP2010-91 RCS2010-221
CAS, MSS, VLD, SIP 2010-06-22
Hokkaido Kitami Institute of Technology A Treatment of Multiple Metrics in Set-Theoretic Adaptive Filtering Based on Product-Space Formulation
Masahiro Yukawa (Niigata Univ.), Isao Yamada (Tokyo Inst. of Tech.) CAS2010-28 VLD2010-38 SIP2010-49 CST2010-28
We address the issue of exploiting multiple metrics jointly for efficient adaptive filtering. The key is the introductio... [more] CAS2010-28 VLD2010-38 SIP2010-49 CST2010-28
 Results 1 - 20 of 29  /  [Next]  
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