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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SP, IPSJ-SLP, EA, SIP [detail] | 2023-03-01 15:50 |
Okinawa | (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 pp.276-281 |
| SRW | 2022-08-22 14:40 |
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 pp.33-38 |
| SP, EA, SIP | 2020-03-02 13:00 |
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 pp.123-128 |
| EA, SIP, SP | 2019-03-14 13:30 |
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 pp.99-104 |
| EA, SIP, SP | 2019-03-14 13:30 |
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 pp.105-111 |
| SIP, EA, SP, MI (Joint) [detail] |
2018-03-20 09:00 |
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 pp.281-286 |
|
| SIP, CAS, MSS, VLD | 2017-06-20 11:00 |
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 pp.81-85 |
| SP, SIP, EA | 2017-03-01 12:40 |
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 pp.71-76 |
| SP, SIP, EA | 2017-03-01 15:55 |
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 pp.177-182 |
| SIP, EA, SP | 2015-03-03 09:00 |
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 pp.75-78 |
|
| RCS, SIP | 2014-01-23 14:40 |
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 pp.113-116 |
| SIP | 2013-08-29 15:00 |
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 pp.23-26 |
| SIP, CAS, CS | 2013-03-14 12:00 |
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 pp.105-109 |
| SIP, RCS | 2013-02-01 13:00 |
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 pp.143-146 |
| CAS, CS, SIP | 2012-03-09 16:05 |
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 pp.315-320 |
| MSS, CAS, VLD, SIP | 2011-07-01 16:50 |
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 pp.181-186 |
| EA, SIP, SP | 2011-05-12 14:15 |
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 pp.79-82 |
| CS, SIP, CAS | 2011-03-03 09:00 |
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 pp.127-130 |
| SIP, RCS | 2011-01-20 14:55 |
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 pp.133-136 |
|
| CAS, MSS, VLD, SIP | 2010-06-22 14:45 |
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 pp.157-162 |
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