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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 24  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
QIT
(2nd)
2023-12-17
17:30
Okinawa OIST
(Primary: On-site, Secondary: Online)
[Poster Presentation] Loss-Assisted Space Expansion of a Photon-Based Quantum Reservoir -- Preparatory Study for Bosonic Quantum Reservoir Computing --
Akio Yoshizawa (AIST)
Reservoir-computing systems consist of an input layer, the reservoir, and the output layer. As opposed to the convolutio... [more]
CCS 2023-11-11
14:20
Toyama Toyama Prefectural University On the Nonclassicality of a Photon-Based Quantum Reservoir -- Preliminary Report for Bosonic Quantum Reservoir Computing --
Akio Yoshizawa (AIST) CCS2023-28
The reservoir-computing neural network in general consists of an input layer, the reservoir, and the output layer. Only ... [more] CCS2023-28
pp.19-24
EMT, IEE-EMT 2023-11-09
10:55
Yamaguchi Kaikyo Messe Shimonoseki On stabilisation of a finite element method for the diffusion equation using expansion of basis functions and the Hilbert transformation
Kazuki Niino, Yusuke Takeuchi (Kyoto Univ) EMT2023-62
This paper proposes a stabilisation method for a finite element method using the Hilbert-type operator for the heat equa... [more] EMT2023-62
pp.1-5
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
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2022-06-28
16:15
Okinawa
(Primary: On-site, Secondary: Online)
An Extension of LiNGAM to Functional Data Analysis
Tianle Yang, Joe Suzuki (Osaka Univ.) NC2022-22 IBISML2022-22
We often use the Linear Non-Gaussian Acyclic Model (LiNGAM) to find random variables' causal order. In the LiNGAM, we ca... [more] NC2022-22 IBISML2022-22
pp.156-163
EA, SIP, SP, IPSJ-SLP [detail] 2022-03-01
09:20
Okinawa
(Primary: On-site, Secondary: Online)
[Poster Presentation] Direction-of-Arrival Estimation of Wideband Sound field based on Microphone Array Signals at Two Time Points
Takahiro Iwami, Ken-ichi Sawai, Akira Omoto (Kyushu Univ.) EA2021-65 SIP2021-92 SP2021-50
We construct a band-limited function space in which the wavenumber spectrum is spherically restricted in the general dim... [more] EA2021-65 SIP2021-92 SP2021-50
pp.9-14
QIT
(2nd)
2019-11-18
13:50
Tokyo Gakushuin University [Poster Presentation] On the convergence of two-mode squeezed states
Ryo Namiki (Gakusuin Univ.)
We prove a sequence of two-mode squeezed states weakly converges to zero in the limit of strong squeezing. [more]
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Discovery of Governing equations in Reproducing Kernel Hilbert space
Yosuke Otsubo (Nikon), Shinichi Nakajima (TUB/RIKEN) IBISML2018-65
It has great value in lots of scientific fields, e.g., physics, chemistry, and biology, to discover governing equations ... [more] IBISML2018-65
pp.159-166
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] On comparison of dynamical systems via Perron-Frobenius operators on reproducing kernel Hilbert spaces
Isao Ishikawa (RIKEN/Keio Univ.), Keisuke Fujii (RIKEN), Masahiro Ikeda (RIKEN/Keio Univ.), Yuka Hashimoto (Keio Univ.), Yoshinobu Kawahara (Osaka Univ/RIKEN.) IBISML2018-67
The development of a metric for structural data is a long-term problem in pattern recognition and machine learning. In t... [more] IBISML2018-67
pp.175-182
SAT 2018-10-11
13:55
Overseas KARI Signal Space Theory and Applications to Communications -- Communication is recovery of the original vector in the signal space --
Osamu Ichiyoshi (HNB21C) SAT2018-49
This paper gives the conclusive chapters in the Signal Space theory and its applications to communications described in ... [more] SAT2018-49
pp.11-16
SIP, EA, SP, MI
(Joint) [detail]
2018-03-19
14:45
Okinawa   Optimization of Gaussian Kernel Parameters for Kernel Logistic Regression
Kosuke Fukumori, Tomoya Wada, Toshihisa Tanaka (TUAT) EA2017-135 SIP2017-144 SP2017-118
The kernel logistic regression is a nonlinear classification model that effectively uses kernel methods, which are one o... [more] EA2017-135 SIP2017-144 SP2017-118
pp.185-190
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] Dual-Sparsification of Kernel Regression Based on Sampling
Atsushi Kojima, Toshihisa Tanaka (TUAT) EA2016-102 SIP2016-157 SP2016-97
When the input pattern have redundant features in regression analysis or pattern recognition, the prediction accuracy is... [more] EA2016-102 SIP2016-157 SP2016-97
pp.115-118
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
VLD, CAS, MSS, SIP 2016-06-17
13:40
Aomori Hirosaki Shiritsu Kanko-kan Simultaneous Adaptation of Kernel Centers and Width for Kernel Adaptive Filter
Tomoya Wada, Toshihisa Tanaka (TUAT) CAS2016-27 VLD2016-33 SIP2016-61 MSS2016-27
A kernel adaptive filter is a nonlinear adaptive filter that makes effective use of kernel methods. One of the major cha... [more] CAS2016-27 VLD2016-33 SIP2016-61 MSS2016-27
pp.145-150
CAS, SIP, MSS, VLD, SIS [detail] 2014-07-11
10:10
Hokkaido Hokkaido University Design of Sparse Dictionary Consisting of Multiple Kernels for Kernel Adaptive Filtering
Taichi Ishida, Toshihisa Tanaka (TUAT) CAS2014-35 VLD2014-44 SIP2014-56 MSS2014-35 SIS2014-35
A kernel adaptive filter is a nonlinear adaptive filter that makes effective use of kernel methods. Its extension is a m... [more] CAS2014-35 VLD2014-44 SIP2014-56 MSS2014-35 SIS2014-35
pp.183-188
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
SP, EA, SIP 2013-05-17
11:35
Okayama   Multi-Kernal Adaptive Filters With Multiple Dictionaries and Regularization
Taichi Ishida, Toshihisa Tanaka (Tokyo Univ. of Agriculture and Tech.) EA2013-19 SIP2013-19 SP2013-19
A multi-kernel adaptive filter updates filter coefficients to obtain desired data in the sum of multiple reproducing ker... [more] EA2013-19 SIP2013-19 SP2013-19
pp.109-114
QIT
(2nd)
2012-11-28
17:00
Kanagawa Keio Univ. Hiyoshi Campus Quantum Teleportation and Time Travel
Yutaka Shikano (IMS)
There are many works on the relationship between the quantum teleportation and the time travel. This is because there ex... [more]
IE, SIP, ICD, VLD, IPSJ-SLDM [detail] 2012-10-18
14:20
Iwate Hotel Ruiz A Design of Hilbert Transformers using an L1 error criterion
Ikuya Murakami, Naoyuki Aikawa (Tokyo Univ. of Science) VLD2012-42 SIP2012-64 ICD2012-59 IE2012-66
In this paper, we propose a design method of Hilbert Transformers using an $L_1$ error criterion. Conventional Hilbert T... [more] VLD2012-42 SIP2012-64 ICD2012-59 IE2012-66
pp.13-18
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