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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 16 of 16  /   
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
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
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
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
IBISML 2017-03-06
16:30
Tokyo Tokyo Institute of Technology New Lerning Algorythm of Neural Network using Integral Representation and Kernel Herding
Takuo Matsubara, Sho Sonoda, Noboru Murata (Waseda Univ.) IBISML2016-103
A new learning algorithm for neural networks that converges at $mathcal{O}(frac{1}{n})$ with respect to model complexity... [more] IBISML2016-103
pp.25-31
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
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]
IBISML 2012-03-12
14:40
Tokyo The Institute of Statistical Mathematics Kernel Bellman Equations in POMDPs
Yu Nishiyama (ISM), Abdeslam Boularias (MPI), Arthur Gretton (UCL), Kenji Fukumizu (ISM) IBISML2011-92
We propose to handle POMDPs in reproducing kernel Hilbert spaces (RKHSs) using recent kernel methods of embedding distri... [more] IBISML2011-92
pp.35-42
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
PRMU 2009-09-01
10:45
Miyagi Tohoku Univ. Hyperplane fitting on Hilbert space projected from hypersphere
Jun Fujiki, Shotaro Akaho (AIST) PRMU2009-70
Many of estimation from hyperspherical data can be resolved into hyperplane fitting in Riemannian space and/or Hilbert s... [more] PRMU2009-70
pp.121-126
 Results 1 - 16 of 16  /   
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