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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 213 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SRW 2019-06-10
09:50
Kanagawa Anritsu Increasing Data Rate of Wearable Networks on Conductive Clothing
Akihito Noda (Nanzan Univ./JST) SRW2019-3
The authors have proposed a method for transferring signal and power among batteryless/antennaless devices for wearable ... [more] SRW2019-3
pp.13-15
IMQ, IE, MVE, CQ
(Joint) [detail]
2019-03-14
16:35
Kagoshima Kagoshima University English Vocabulary Learning by Associating Words with Living Spaces Using Photography
Ryuki Kamikubo, Keita Kuki, Kenchi So (Tokyo Univ.), Shogo Fukushima (Tokyo Univ./JST), Takeshi Naemura (Tokyo Univ.) IMQ2018-47 IE2018-131 MVE2018-78
(To be available after the conference date) [more] IMQ2018-47 IE2018-131 MVE2018-78
pp.143-148
RCS, SR, SRW
(Joint)
2019-03-07
10:30
Kanagawa YRP Networking On-body Distributed Devices via Conductive Clothing
Akihito Noda (Nanzan Univ./JST) SRW2018-62
A wearable system consisting of distributed on-body sensors/actuators requires power and data transfer among them. The a... [more] SRW2018-62
pp.31-34
IBISML 2019-03-05
14:30
Tokyo RIKEN AIP Efficient Exploration by Variational Information Maximizing Exploration on Reinforcement Learning
Kazuki Doi, Keigo Okawa (Gifu Univ.), Motoki Shiga (Gifu Univ./JST/RIKEN) IBISML2018-107
In reinforcement learning,the policy function may not be optimized properly if the observed state space is limited to lo... [more] IBISML2018-107
pp.17-22
NC, MBE
(Joint)
2019-03-05
15:50
Tokyo University of Electro Communications Quantitative evaluation of discriminability between natural texture images by neural populations in visual cortex using L1-logistic regression
Rina Kotani (Osaka Univ.), Hiroko Ichikawa (Tokyo University of Science), Yasuhiko Igarashi (JST/Tokyo Univ.), Yoh-ichi Mototake, Masato Okada (Tokyo Univ.), Hiroshi Tamura (Osaka Univ./CiNet) NC2018-71
 [more] NC2018-71
pp.145-150
QIT
(2nd)
2018-11-27
16:10
Tokyo The University of Tokyo Quantum computational universality of hypergraph states with Pauli-X and Z basis measurements
Yuki Takeuchi (NTT), Tomoyuki Morimae (Kyoto Univ./JST), Masahito Hayashi (Nagoya Univ./SUSTech/NUS)
In this talk, we construct a universal hypergraph state that only requires $X$ and $Z$-basis measurements for universal ... [more]
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Safe Screening of a Sparse KLIEP Model on Markov Network Structural Change Detection
Hiroki Sato (Gifu Univ), Motoki Shiga (Gifu Univ./JST/RIKEN), Makoto Yamada (Kyoto Univ./JST/RIKEN) IBISML2018-52
On gene network analysis, detecting network structural changes among different cell states is necessary to understand bi... [more] IBISML2018-52
pp.61-68
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Distance Metric Learning Between Graphs Based on Subgraph
Tomoki Yoshida (NITech), Ichiro Takeuchi (NITech/NIMS/RIKEN), Masayuki Karasuyama (NITech/NIMS/JST) IBISML2018-64
A standard approach to evaluating distance between two graphs is to use common subgraphs contained in the two graphs. Fo... [more] IBISML2018-64
pp.151-158
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Comparison between Tsunami Height Prediction Methods Using Ocean-Bottom Pressure Values
Kenjiro Kashiwabara (UTokyo), Yasuhiko Igarashi (UTokyo/NIMS/JST), Masashi Yoshikawa (UTokyo), Toshitaka Baba (Tokushima Univ.), Takane Hori (JAMSTEC), Masato Okada (UTokyo/NIMS) IBISML2018-66
 [more] IBISML2018-66
pp.167-174
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Normal mode selection of coherent phonons by Bayesian LARS-OLS
Itsushi Sakata, Yoshihiro Nagano (UTokyo), Yasushiko Igarashi (JST), Shin Murata (UTokyo), Kohji Mizoguchi (Osaka Prefecture Univ.), Ichiro Akai (Kumamoto Univ.), Masato Okada (UTokyo) IBISML2018-78
Coherent phonon (CP) signals contain normal modes representing the material property and experimental artifacts. It is p... [more] IBISML2018-78
pp.255-262
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Sparse modeling of extended X-ray absorption fine structures (EXAFS) through Bayesian LARS-OLS
Yasuhiko Igarashi (JST), Kazunori Iwamitsu (Kumamoto U.), Toshihiro Okajima (Kyushu LRC), Ichiro Akai (Kumamoto U.), Masato Okada (Univ. Tokyo) IBISML2018-98
(Advance abstract in Japanese is available) [more] IBISML2018-98
pp.403-410
SCE 2018-08-09
15:05
Aichi Toyohashi University of Technology Proposal and Demonstration of Inverting Quantum Flux Parametron Circuits
Kota Arai (Yokohama Natl. Univ.), Naoki Takeuchi (JST-PRESTO), Yuki Yamanashi, Nobuyuki Yoshikawa (Yokohama Natl. Univ.) SCE2018-15
We are studying adiabatic quantum flux parametron (AQFP), which is an ultra-low power logic, in order to achieve future ... [more] SCE2018-15
pp.47-51
CAS, SIP, MSS, VLD 2018-06-14
12:25
Hokkaido Hokkaido Univ. (Frontier Research in Applied Sciences Build.) [Invited Talk] Application of sparse modeling to geosciences
Tatsu Kuwatani (JAMSTEC/JST PRESTO) CAS2018-5 VLD2018-8 SIP2018-25 MSS2018-5
The essence of geosciences is an inverse problem. It is important to extract essential information from data with noise ... [more] CAS2018-5 VLD2018-8 SIP2018-25 MSS2018-5
pp.23-25
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2018-06-13
10:00
Okinawa Okinawa Institute of Science and Technology Active Level Set Estimation with Multi-fidelity Evaluations
Shion Takeno (Nitech), Hitoshi Fukuoka (Nagoya Univ.), Yuhki Tsukada (Nagoya Univ./JST), Toshiyuki Koyama (Nagoya Univ.), Motoki Shiga (Gifu Univ./JST/RIKEN), Ichiro Takeuchi (NITech/NIMS/RIKEN), Masayuki Karasuyama (NITech/NIMS/JST) IBISML2018-1
Level set estimation is a problem to identify a level set of an unknown function, which is defined by whether the functi... [more] IBISML2018-1
pp.1-8
QIT
(2nd)
2018-06-04
14:50
Hiroshima ICCH Ran [Invited Talk] Physics of Quantum-to-Classical Crossover and Quantum Neural Network
Yoshihisa Yamamoto (JST/Stanford Univ.)
This paper will discuss the novel quantum computing model, dissipative quantum computation, and the physical implementat... [more]
SCE 2018-04-20
14:40
Tokyo Kikai-Shinko-Kaikan Bldg. Proposal of a cryogenic signal processor for fluorescence correlation spectroscopy using superconducting nanowire single photon detectors
Shigeyuki Miyajima (NICT), Shigehito Miki (NICT/Kobe Univ.), Masahiro Yabuno (NICT), Taro Yamashita (Nagoya Univ./JST), Hirotaka Terai (NICT) SCE2018-4
We propose and demonstrate a cryogenic signal processor based on a single-flux-quantum (SFQ) circuit for a fluorescence ... [more] SCE2018-4
pp.17-22
MBE, NC
(Joint)
2018-03-13
10:25
Tokyo Kikai-Shinko-Kaikan Bldg. Statistical mechanics of coherent Ising machine -- The case of infinite loading Hopfield model --
Toru Aonishi (Tokyo Tech.), Kazushi Mimura (Hiroshima City Univ.), Masato Okada (Univ. Tokyo), Yoshihisa Yamamoto (ImPACT/ Stanford Univ.) NC2017-69
The coherent Ising machine (CIM) has attracted attention as one of the most effective Ising computing architectures for ... [more] NC2017-69
pp.9-14
MBE, NC
(Joint)
2018-03-13
10:50
Tokyo Kikai-Shinko-Kaikan Bldg. Statistical mechanics of coherent Ising machine -- The analysis of Hopfield model with discrete synapses --
Shunki Nakagawa, Toru Aonishi (Tokyo Tech.), Kazushi Mimura (Hiroshima City Univ.), Masato Okada (Univ. Tokyo), Yoshihisa Yamamoto (ImPACT/ Stanford Univ.) NC2017-70
The coherent Ising machine (CIM) is being developed as one of the Ising computing architecture for solving large-scale c... [more] NC2017-70
pp.15-20
MBE, NC
(Joint)
2018-03-13
11:15
Tokyo Kikai-Shinko-Kaikan Bldg. Statistical mechanics of coherent Ising machine -- The case of CDMA multiuser detector --
Toru Aonishi (Tokyo Tech.), Kazushi Mimura (Hiroshima City Univ.), Masato Okada (Univ. Tokyo), Yoshihisa Yamamoto (ImPACT/ Stanford Univ.) NC2017-71
The coherent Ising machine (CIM) has attracted attention as one of the most effective Ising computing architectures for ... [more] NC2017-71
pp.21-26
MBE, NC
(Joint)
2018-03-14
11:15
Tokyo Kikai-Shinko-Kaikan Bldg. Evaluation of feature selection accuracy using sparse classification algorithm based on L0-norm optimization
Naoki Ishibashi, Noriki Ito, Masashi Sato (UEC Tokyo), Yoshiyuki Kabashima (Tokyo Tech), Yoichi Miyawaki (UEC Tokyo/JST PRESTO) NC2017-91
Classification often suffers from overfitting if applied to a dataset of small sample size and high dimensionality. Dime... [more] NC2017-91
pp.139-144
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