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All Technical Committee Conferences (All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| R | 2022-06-16 14:50 |
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 13:00 |
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 pp.101-104 |
| IBISML | 2022-03-09 14:55 |
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 pp.61-68 |
| HCGSYMPO (2nd) |
2021-12-15 - 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] | |
| HCGSYMPO (2nd) |
2021-12-15 - 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 15:25 |
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 pp.13-18 |
| R | 2021-05-28 14:10 |
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 pp.19-24 |
| RCS, SR, SRW (Joint) |
2021-03-05 16:30 |
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 pp.91-98 |
| EA, US, SP, SIP, IPSJ-SLP [detail] | 2021-03-03 16:45 |
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 pp.97-102 |
| 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 |
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