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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 13 of 13  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-22
09:45
Hokkaido Hokkaido Univ. Probabilistic Approach towards Theoretical Understanding for Adversarial Training
Soichiro Kumano (UTokyo), Hiroshi Kera (Chiba Univ.), Toshihiko Yamasaki (UTokyo) ITS2022-59 IE2022-76
In this paper, we provide the first theoretical analysis of the training dynamics of adversarial training of deep neural... [more] ITS2022-59 IE2022-76
pp.95-100
IBISML 2022-01-18
13:40
Online Online More Powerful Selective Inference for K-means clustering with Application to Single Cell Analysis
Mizuki Sato, Yumehiro Omori, Yu Inatsu, Ichiro Takeuchi (NITech) IBISML2021-25
K-means clustering is the most famous clustering method because of its simplicity, and it has been applied to a wide ran... [more] IBISML2021-25
pp.54-60
SIS, IPSJ-AVM, ITE-3DMT [detail] 2020-06-03
15:40
Online Online [Tutorial Lecture] Clarification of Statistical Properties of Phase-Only Correlation Functions Based on Directional Statistics
Shunsuke Yamaki (Tohoku Univ.) SIS2020-4
Phase-only correlation (POC) functions have been widely applied in many fields including signal matching, for evaluating... [more] SIS2020-4
pp.19-24
CQ 2018-06-01
11:20
Chiba Chiba Univ. Nishi-Chiba Campus, academic link center Mean Field Approximation Analysis and Bistability of IEEE 802.11 DCF in a Saturated/Non-saturated Boundary Region
Xiang Li, Shigeo Shioda (Chiba Univ.) CQ2018-25
Using the analysis model of IEEE 802.11 DCF with mean field approximation, we show that the wireless LAN (WLAN) based on... [more] CQ2018-25
pp.43-48
CS, CAS 2018-03-12
15:35
Fukuoka Nishijin Plaza, Kyushu University [Invited Talk] Clarification of Statistical Properties of Phase-Only Correlation Functions Based on Directional Statistics
Shunsuke Yamaki (Tohoku Univ.) CAS2017-144 CS2017-98
Phase-only correlation (POC) functions have been widely applied in many fields including signal matching, for evaluating... [more] CAS2017-144 CS2017-98
pp.65-70
HCS 2017-10-27
15:10
Hiroshima Higashi Hiroshima Arts & Culture Hall Kurara A Study on Jargons and the Verbalization of Athletes in Rugby Junior Japan Team
Masatoshi Yamada (Tokoha Univ.), Daisuke Sato (SATO SPEED), Yugo Takeuchi (Shizuoka Univ.) HCS2017-64
This research aims to, focusing on jargons in sports coaching from the perspective of the relevant field, reveal the cog... [more] HCS2017-64
pp.25-30
CCS, NLP 2016-06-13
13:25
Tokyo Kikai-Shinko-Kaikan Bldg. A mean field analysis of the simple model of evolving open system
Fumiko Ogushi (Tohoku Univ.), Takashi Shimada (Univ. of Tokyo) NLP2016-23 CCS2016-6
A simple model of evolving open systems with the mono-directional interaction gives a novel transition from the divergin... [more] NLP2016-23 CCS2016-6
pp.21-25
QIT
(2nd)
2014-05-13
15:40
Aichi Nagoya Univ. Mathematical analysis for ground state energies of quantum complex systems
Yuya Dan (Matsuyama Univ.)
We investigate the lower bound of ground state energy in quantum complex systems which interact by electrical and magnet... [more]
NC 2012-07-31
13:15
Shiga Ritsumeikan Univ. College of Information Science and Engineering Stability Analysis of Stochastic Neural Network with Depression and Facilitation Synapses
Yuichi Katori (JST, Univ. Tokyuo), Yasuhiko Igarashi (Univ. Tokyo), Masato Okada (Univ. Tokyo/RIKEN), Kazuyuki Aihara (Univ. Tokyo) NC2012-29
We investigate dynamical properties of a stochastic neural network model in which neurons are connected by dynamic synap... [more] NC2012-29
pp.83-88
NC 2012-01-26
15:40
Hokkaido Future University Hakodate Critical phenomena in mean-field Ising models and time-series prediction
Shunsuke Higano, Jun-ichi Inoue (Hokkaido Univ.) NC2011-108
We propose a theoretical framework to predict several
time-series simultaneously by using cross-correlations
in fin... [more]
NC2011-108
pp.65-70
NLP 2011-05-26
14:15
Kagawa Olive park olive memorial hall An Analysis of a High-Order Delay-Locked Loop in the Presence of White Channel Noise and Nonwhite Multiple Access Interference
Keisuke Nagata, Hisato Fujisaka, Takeshi Kamio, Kazuhisa Haeiwa (Hiroshima City Univ.) NLP2011-4
This manuscript reports a procedure and results of probabilistic analysis of non-coherent delay-locked loop (NC-DLL) use... [more] NLP2011-4
pp.15-20
NLP 2010-12-13
11:00
Tottori Yonago Convention Center An All-Coupled Probabilistic Network Model of Delay-Locked Loops
Keisuke Nagata, Hisato Fujisaka, Takeshi Kamio, Kazuhisa Haeiwa (Hiroshima City Univ.) NLP2010-115
In this paper, we build a probabilistic 2J+1-site network which is a model of a delay-locked loop (DLL) in a CDMA commun... [more] NLP2010-115
pp.21-26
NC 2006-03-15
09:30
Tokyo Tamagawa University Mean field algorithms for Bayesian learning in perceptron type probabilistic models
Shinsuke Uda, Yoshiyuki Kabashima (TITech.)
We develop a computationally tractable approximate algorithm for Bayesian learning in perceptron type probabilistic mode... [more] NC2005-114
pp.51-56
 Results 1 - 13 of 13  /   
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