Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NLP, MSS |
2023-03-15 16:35 |
Nagasaki |
(Primary: On-site, Secondary: Online) |
An Trial to Replace Chaotic Neural Networks with Hidden Markov Models.
-- A Case of Method for Solving Asymmetric Traveling Salesman Problems -- Toshihiro Tachibana, Tomoya Matsuno (Shonan Inst. of Tech.), Masaharu Adachi (Tokyo Denki Univ.), Kaya Nagasawa (Shonan Inst. of Tech.) MSS2022-78 NLP2022-123 |
We have proposed a method for adaptive switching between multiple methods using chaotic neural networks. Our research ha... [more] |
MSS2022-78 NLP2022-123 pp.81-84 |
CAS, CS |
2023-03-01 09:55 |
Fukuoka |
Kitakyushu International Conference Center (Primary: On-site, Secondary: Online) |
A Study of Switching Methods Using Chaotic Neurodynamics for Solving Multi-Objective Optimization Problem Toshihiro Tachibana, Touya Suzuki, Takuya Inoue (Shonan Inst. of Tech.), Masaharu Adachi (Tokyo Denki Univ.) CAS2022-97 CS2022-74 |
We have proposed several methods for solving asymmetric traveling salesman problems and multi-objective optimization pro... [more] |
CAS2022-97 CS2022-74 pp.6-11 |
HCGSYMPO (2nd) |
2022-12-14 - 2022-12-16 |
Kagawa |
Onsite (Sunport Takamatsu) and Online (Primary: On-site, Secondary: Online) |
Pattern Estimation of Eye Movement during Facial Attractiveness Evaluation 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] |
|
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 |
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] |
|
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 |
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 |
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 |
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 |
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] |
|
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] |
|
IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-14 09:30 |
Kagoshima |
Kagoshima University |
Investigation on characteristics of face perception in terms of dynamic properties of eye movement Shun Ohue, Ryoko Yamada, Shigeru Akamatsu (Hosei Univ.) IMQ2018-26 IE2018-110 MVE2018-57 |
We investigated the relationship between face recognition performance and eye movement between individuals, face images,... [more] |
IMQ2018-26 IE2018-110 MVE2018-57 pp.19-24 |
SR |
2019-01-24 15:20 |
Fukushima |
Corasse, Fukushima city (Fukushima prefecture) |
An Error Correction Technique with the Viterbi Algorithm for a Machine-Learning-Based Classifier Yoshito Watanabe, Yozo Shoji (NICT) SR2018-105 |
This paper proposes a novel technique to correct errors that can be caused in the decisions made by a machine learning (... [more] |
SR2018-105 pp.57-61 |
NLP, NC (Joint) |
2019-01-24 15:40 |
Hokkaido |
The Centennial Hall, Hokkaido Univ. |
Detection of mouse sleep-stages using hidden Markov model and random forest Shun Matsuzaki (The University of Tokyo), Masanori Sakaguchi (University of Tsukuba), Takaaki Ohnishi (The University of Tokyo) NLP2018-123 |
Fully automatic determination of the sleep stages (non-REM, REM, arousal) of the mouse is important in improving the mem... [more] |
NLP2018-123 pp.143-148 |
HCGSYMPO (2nd) |
|
Mie |
Sinfonia Technology Hibiki Hall Ise |
Understanding face recognition performance in terms of individual variation of eye movement learned by HMM Shun Ohue, Ryoko Yamada, Shigeru Akamatsu (Hosei Univ.) |
We investigated the relationship between face recognition performance and eye movement between individuals.
In this wor... [more] |
|
ASN, NS, RCS, SR, RCC (Joint) |
2018-07-12 09:30 |
Hokkaido |
Hakodate Arena |
Construction of Time-Space Radio Environment Database using HMM for Cooperative Sensing Yuya Aoki, Takeo Fujii (UEC) SR2018-30 |
In recent years, many researchers focus on a measurement-based Radio Environment Database (RED) that utilizes the actual... [more] |
SR2018-30 pp.57-64 |