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 |