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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 313  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
R 2022-06-16
Online Online A Note on Interval Reliability Analysis of Intrusion Tolerant Systems Subject to DoS Attacks
Junjun Zheng (Ritsumeikan Univ.), Hiroyuki Okamura, Tadashi Dohi (Hiroshima Univ.)
(To be available after the conference date) [more]
MSS, NLP 2022-03-29
Online Online A Relation between Gap and City Layout for Asymmetric Traveling Salesman Problems Using Hidden Markov Models
Toshihiro Tachibana, Tomoya Matsuno (Shonan Inst. of Tech.), Masaharu Adachi (Tokyo Denki Univ.) MSS2021-74 NLP2021-145
We have proposed several methods for solving asymmetric traveling salesman problems and multi-objective optimization pro... [more] MSS2021-74 NLP2021-145
IBISML 2022-03-09
Online Online Infinite SCAN: Joint Estimation of Changes and the Number of Word Senses with Gaussian Markov Random Fields
Seiichi Inoue, Mamoru Komachi (TMU), Toshinobu Ogiso (NINJAL), Hiroya Takamura (AIST), Daichi Mochihashi (ISM) IBISML2021-47
In this study, we propose a hierarchical Bayesian model that can automatically estimate the number of senses for each wo... [more] IBISML2021-47
- 2021-12-17
Online Online Motion Identification of Physical Exertion using Hidden Markov Model with Combined Information of Skeletal Structure and Range Data
Ryohei Yamazaki, Shigeru Akamatsu (Hosei Univ.)
The purpose of this study is to verify the usefulness of using features that combine skeletal information and distance i... [more]
- 2021-12-17
Online Online Analysis of Eye Movements during Facial Attractiveness Evaluation based on Hidden Markov Model
Kazuyuki Asai, Shigeru Akamatsu (Hosei Univ.)
In this study, we analyzed whether there is a relationship between attractiveness evaluation for face images and eye mov... [more]
R 2021-10-22
Online Online A Note on Sensitivity Analysis of Software Rejuvenation Model with Markov Regenerative Process
Junjun Zheng (Ritsumeikan Univ.), Hiroyuki Okamura, Tadashi Dohi (Hiroshima Univ.) R2021-32
This paper considers the parametric sensitivity of a software rejuvenation model for transaction systems. The system beh... [more] R2021-32
R 2021-05-28
Online Online A note on local sensitivity analysis of stationary solutions for Markov regenerative processes
Junjun Zheng (Ritsumeikan Univ.), Jiahao Zhang, Hiroyuki Okamura, Tadashi Dohi (Hiroshima Univ.) R2021-4
Because of high power and flexibility, Markov regenerative process (MRGP) is widely used for modeling and evaluating the... [more] R2021-4
Online Online [Invited Lecture] A Hazardous Spot Detection Framework by Mobile Sensing and V2V Opportunistic Networks
Yoshito Watanabe, Yozo Shoji (NICT) SR2020-88
This study proposes a framework to detect hazardous spots on roads by combining mobile sensing on commercial-use vehicle... [more] SR2020-88
EA, US, SP, SIP, IPSJ-SLP [detail] 2021-03-03
Online Online An optimal prediction of phoneme under Bayes criterion by weighting multiple hidden Markov models
Taishi Yamaoka, Shota Saito, Toshiyasu Matsushima (Waseda Univ.) EA2020-76 SIP2020-107 SP2020-41
In this paper, we propose a prediction method for prediction problems using a hidden Markov model. Specifically, it is a... [more] EA2020-76 SIP2020-107 SP2020-41
IBISML 2021-03-03
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
CAS, ICTSSL 2021-01-29
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
R 2020-12-11
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
IT 2020-12-02
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
CS 2020-11-06
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]
HIP 2020-10-08
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
MI, IE, SIP, BioX, ITE-IST, ITE-ME [detail] 2020-05-29
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
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)
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
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
ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2020-02-27
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
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