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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 324 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2021-03-03
14:25
Online Online Markov Decision Processes for Simultaneous Control of Multiple Objects with Different State Transition Probabilities in Each Cluster
Yuto Motomura, Akira Kamatsuka, Koki Kazama, Toshiyasu Matsushima (Waseda Univ.) IBISML2020-49
In this study, we propose an extended MDP model, which is a Markov decision process model with multiple control objects ... [more] IBISML2020-49
pp.47-54
CAS, ICTSSL 2021-01-29
10:10
Online Online Consideration of Switching by Chaotic Neurodynamics for Asymmetric TSPs by using Hidden Markov Model
Tomoya Matsuno, Toshihiro Tachibana (Shonan Inst. of Tech.), Masaharu Adachi (Tokyo Denki Univ.) CAS2020-59 ICTSSL2020-44
Several methods for solving the asymmetric traveling salesman problem using chaotic neural networks is proposed by Tachi... [more] CAS2020-59 ICTSSL2020-44
pp.107-110
R 2020-12-11
15:15
Online Online A Note on Variance-Based Sensitivity Analysis for Continuous-Time Markov Chains Based on Moment Approximation
Jiahao Zhang (Hiroshima Univ.), Junjun Zheng (Ritsumeikan Univ.), Hiroyuki Okamura, Tadashi Dohi (Hiroshima Univ.) R2020-33
Sensitivity analysis plays a critical role in quantifying uncertainty in the design of computer systems. In particular, ... [more] R2020-33
pp.18-23
IT 2020-12-02
09:40
Online Online Approximation Method for Bayes Optimal Prediction in Phoneme Recognition Problem
Taishi Yamaoka, Shota Saito, Toshiyasu Matsushima (Waseda Univ.) IT2020-30
In this paper, we propose a method of phoneme recognition. In the previous studies on phoneme recognition using the Hidd... [more] IT2020-30
pp.32-37
CS 2020-11-06
11:15
Online Online + Central Community Center, Nonoichi Community Center
(Primary: Online, Secondary: On-site)
Performance Analysis of Success-Prioritized DCF in Non-Saturated Condition
Yamato Yoshikawa, Daisuke Umehara (KIT) CS2020-59
In recent years, mobile terminals with wireless local area network (WLAN) function have become more popular
and it is e... [more]
CS2020-59
pp.64-67
HIP 2020-10-08
13:10
Online Online Investigation on Modeling Dynamic Properties of Eye Movement in Impression Evaluation of Painting by Hidden Markov Models
Shun Oue (Hosei Univ.), Yuiko Sakuta (Jissen Women's Univ.), Shigeru Akamatsu (Hosei Univ.) HIP2020-32
In this study, we analyzed whether there is any relationship between impression evaluation for painting and eye movement... [more] HIP2020-32
pp.1-6
MI, IE, SIP, BioX, ITE-IST, ITE-ME [detail] 2020-05-29
14:10
Online Online Construction of Hidden Markov Models for Brain Tumor Segmentation
Takuya Honda, Yuta Nakahara, Matushima Toshiyasu (Waseda Univ.) SIP2020-13 BioX2020-13 IE2020-13 MI2020-13
Brain tumor segmentation is one of the systems that a computer, which has attracted attention in recent years, assists d... [more] SIP2020-13 BioX2020-13 IE2020-13 MI2020-13
pp.61-66
IN, RCS, NV
(Joint)
2020-05-22
13:25
Online Online [Invited Lecture] Throughput Analysis for Full Duplex Wireless Networks
Kosuke Sanada (Mie Univ.) IN2020-8 RCS2020-21
This paper explains the researches of theoretical analysis for wireless full-duplex communication networks. First, we in... [more] IN2020-8 RCS2020-21
pp.37-42(IN), pp.61-66(RCS)
NC, MBE
(Joint)
2020-03-05
16:10
Tokyo University of Electro Communications
(Cancelled but technical report was issued)
Improvement of neuronal ensemble inference by Monte Carlo method and applying to real data
Shun Kimura, Koujin Takeda (Ibaraki Univ.), Keisuke Ota (Riken) NC2019-101
In this work, we propose an improved inference algorithm for neuronal ensembles, which can classify neurons into ensembl... [more] NC2019-101
pp.149-154
NC, MBE
(Joint)
2020-03-06
13:25
Tokyo University of Electro Communications
(Cancelled but technical report was issued)
A finite state markov-chain approximation of the intermittent control model during human quiet standing using a finite element analysis of its Fokker-Planck equation
Keigo Togame, Akihiro Nakamura, Yasuyuki Suzuki, Taishin Nomura (Osaka Univ.) MBE2019-96
The intermittent control during human quiet standing is a hypothetical neural control strategy that we have proposed in ... [more] MBE2019-96
p.83
ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2020-02-27
16:20
Hokkaido Hokkaido Univ.
(Cancelled but technical report was issued)
[Special Talk] Neighbor-Aware Approaches for Pixel Labeling
Ryosuke Furuta (TUS), Naoto Inoue, Toshihiko Yamasaki (UT) ITS2019-45 IE2019-83
Pixel labeling is one of the most classical and important problems in the field of computer vision because it has a vari... [more] ITS2019-45 IE2019-83
p.239
PRMU 2019-12-19
10:30
Oita   A switching Markov model for evaluation of food functionality
Tsukasa Hokimoto, Toshio Uchiyama (HIU) PRMU2019-46
For analytic purposes of the scientific processes on how food influence our health, the measurement data on medical or g... [more] PRMU2019-46
pp.1-6
HCGSYMPO
(2nd)
2019-12-11
- 2019-12-13
Hiroshima Hiroshima-ken Joho Plaza (Hiroshima) Investigating relationship between impression evaluation of painting and eye movement pattern through hidden Markov model
Shun Oue (Hosei Univ.), Yuiko Sakuta (Jissen Women's Univ.), Shigeru Akamatsu (Hosei Univ.)
In this study, we analyzed whether there is any relationship between impression evaluation for painting and eye movement... [more]
R 2019-11-28
13:45
Osaka Central Electric Club A Note on Moment-Based Approximation for Uncertainty Propagation in Hierarchical Models
Jiahao Zhang (Hiroshima Univ.), Junjun Zheng (Ritsumeikan Univ.), Hiroyuki Okamura, Tadashi Dohi (Hiroshima Univ.) R2019-43
This paper discusses an approximation method for uncertainty propagation in a hierarchical model. The uncertainty propag... [more] R2019-43
pp.1-6
R 2019-11-28
14:10
Osaka Central Electric Club Non-homogeneous Markov Process Modeling for Software Reliability Assessment
Siqiao Li, Tadashi Dohi, Hiroyuki Okamura (Hiroshima U.) R2019-44
In this paper, we focus on non-homogeneous Markov processes, which are generalizations of the well-known non-homogeneous... [more] R2019-44
pp.7-12
R 2019-11-28
15:35
Osaka Central Electric Club A Note on Optimal Rejuvenation Policies for Non-Markovian Availability Models with Aperiodic Checkpointing
Junjun Zheng (Ritsumeikan Univ.), Hiroyuki Okamura, Tadashi Dohi (Hiroshima Univ.) R2019-47
In this paper, we present non-Markovian availability models for capturing the dynamics of system behavior of an operatio... [more] R2019-47
pp.23-28
SR
(2nd)
2019-11-04
- 2019-11-05
Overseas Rutgers University Inn & Conference Center, NJ, USA Traffic Prediction in Future Mobile Networks using Hidden Markov Model
Sumeet Dash (Shiv Nadir Univ.), Sumit Maheshwari (Rutgers Univ.), Sudipta Mahapatra (IIT Kharagpur)
The recent advances in the wireless network architectures are mainly focused on improving the end-user performance as me... [more]
R 2019-10-25
14:00
Nagasaki Fukue Culture Center Multiple Change-Point Modeling for Software Reliability Assessment
Shinji Inoue (Kansai Univ.), Shigeru Yamada (Tottori Univ.) R2019-38
We discuss Markovian imperfect debugging modeling for software reliability assessment with multiple changes of testing e... [more] R2019-38
pp.1-6
NS 2019-10-10
13:30
Aichi Nagoya Institute of Technology [Poster Presentation] Throughput Analysis for Full Duplex Wireless Local Area Networks with Inter-User Interference
Kosuke Sanada, Hiroyuki Hatano, Kazuo Mori (Mie Univ.) NS2019-105
Full duplex (FD) communication can potentially double the throughput of a point-to-point link. However, to achieve such ... [more] NS2019-105
pp.27-32
RCS, SAT
(Joint)
2019-08-23
14:10
Aichi Nagoya University [Invited Lecture] Performance Analysis for Synchronous and Asynchronous Full Duplex MAC Protocols in Wireless Local Area Networks with Hidden Nodes
Kosuke Sanada (Mie Univ.) SAT2019-42 RCS2019-171
Full duplex (FD) communication can potentially double the throughput of a point-to-point link. However, to achieve such ... [more] SAT2019-42 RCS2019-171
p.129(SAT), p.127(RCS)
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