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All Technical Committee Conferences (Searched in: All Years)
| 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 |
| 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 |
| 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 |
| 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, MVE, IPSJ-CVIM [detail] | 2018-01-18 09:30 |
Osaka | Trajectory semantic segmentation based on behavior models Daisuke Ogawa, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda (Hiroshima Univ.) PRMU2017-112 MVE2017-33 |
In many cases, such as trajectories clustering and classification, we often divide a trajectory into segments as preproc... [more] | PRMU2017-112 MVE2017-33 pp.1-7 |
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| SP | 2017-01-21 16:35 |
Tokyo | The University of Tokyo | Simultaneous modeling of acoustic feature sequences and its temporal structures for DNN-based speech synthesis Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.) SP2016-76 |
In statistical parametric speech synthesis, a hidden Markov model (HMM) is widely used as an acoustic model. Recently, d... [more] | SP2016-76 pp.71-76 |
| WIT | 2016-07-15 16:20 |
Yamanashi | University of Yamanashi Organization for Information Management | Fundamental Study on Automatic Recognition of Non-Manual Signals in JSL using HMM Rina Kato, Shinji Sako, Tadashi Kitamura (NITech) WIT2016-23 |
We work on automatic Japanese sign Language (JSL) recognition using hidden Markov models (HMMs). In general, sign langua... [more] | WIT2016-23 pp.15-19 |
| PRMU, SP, WIT, ASJ-H | 2016-06-13 09:30 |
Tokyo | Image recognition based on discriminative models using features generated from separable lattice HMMs Yoshinari Tsuzuki, Kei Sawada, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.) PRMU2016-36 SP2016-2 WIT2016-2 |
One of the major problems in image recognition is degradation in the recognition performance caused by geometric variati... [more] | PRMU2016-36 SP2016-2 WIT2016-2 pp.7-12 |
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| PRMU, CNR | 2016-02-21 14:00 |
Fukuoka | Parameter sharing structures of separable lattice HMMs using mixture output distributions for image recognition Masato Sukegawa, Kei Sawada, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.) PRMU2015-138 CNR2015-39 |
In image recognition systems, it is important to deal with geometrical variations such as size and location. Separable l... [more] | PRMU2015-138 CNR2015-39 pp.37-42 |
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| IBISML | 2015-11-27 14:00 |
Ibaraki | Epochal Tsukuba | [Poster Presentation]
Evaluation of Hidden Semi-Markov Models with Interval State Node Hiromi Narimatsu, Hiroyuki Kasai (UEC) IBISML2015-84 |
This paper presents an extended HMM that models both sequence length and sequence interval of sequential data. The struc... [more] | IBISML2015-84 pp.233-240 |
| WIT | 2015-08-26 11:30 |
Nagano | Shinshu University Faculty of Engineering | A study on phonemic weight estimation for HMM-based sign language recognition using phonemic structure Shinji Sako, Kaho Sugi, Tadashi Kitamura (NIT) WIT2015-47 |
We work on automatic Japanese sign Language (JSL) recognition using hidden Markov models (HMMs). An important issue for ... [more] | WIT2015-47 pp.59-64 |
| KBSE | 2015-03-06 10:00 |
Tokyo | The University of Electro-Communications | Gesture Recognition for Cooking Assistant System Yuma Hijioka, Makoto Murakami, Tadahiko Kimoto (Toyo Univ.) KBSE2014-60 |
Our purpose is to recognize cooking gesture for showing cooking information on time. We make models for cooking gesture... [more] |
KBSE2014-60 pp.49-53 |
| NC, MBE (Joint) |
2014-03-17 10:20 |
Tokyo | Tamagawa University | Chronological change of understanding states using hidden Markov models and eye movement features Minoru Nakayama, Naoya Takahashi (Tokyo Inst. of Tech.) MBE2013-117 |
The possibility of predicting viewer's internal states was determined using the hidden Markov model (HMM) and several ... [more] |
MBE2013-117 pp.13-18 |
| IE, ICD, VLD, IPSJ-SLDM [detail] | 2013-10-07 16:05 |
Aomori | A 2.4x-Real-Time VLSI Processor for 60-kWord Continuous Speech Recognition Guangji He, Yuki Miyamoto, Kumpei Matsuda, Shintaro Izumi, Hiroshi Kawaguchi, Masahiko Yoshimoto (Kobe Univ) VLD2013-52 ICD2013-76 IE2013-52 |
This paper describes a low-power VLSI chip for speaker-independent 60-kWord continuous speech recognition based on a co... [more] | VLD2013-52 ICD2013-76 IE2013-52 pp.29-34 |
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| ASN, IPSJ-UBI | 2013-05-16 16:40 |
Kumamoto | Kumamoto University | [Poster Presentation]
A Stochastic State Transition Model for Estimating Appliance Power Consumption Yuhei Kurose, Hiroaki Kawashima, Takekazu Kato, Takashi Matsuyama (Kyoto Univ.) ASN2013-32 |
This paper describes a modeling, learning, and prediction method for fluctuation of power consumption of home appliances... [more] | ASN2013-32 pp.159-162 |
| SP | 2013-02-28 15:00 |
Aichi | Daido University | [Poster Presentation]
Comparison of classification methods for multi-modal voice activity detection Hiroya Okuda, Satoshi Tamura, Satoru Hayamizu (Gifu Univ.) SP2012-124 |
Automatic Speech Recognition (ASR) technology has been developed and used in various situations, such as car navigation ... [more] | SP2012-124 pp.31-32 |
| PRMU | 2013-02-22 09:30 |
Osaka | Extended separable lattice HMMs based on state duration control for recognition of images with variations Takaya Makino, Shinji Takaki, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.) PRMU2012-164 |
In this paper, an extension of separable lattice HMMs is described that (SL-HMM) introduces state duration control for d... [more] | PRMU2012-164 pp.149-154 |
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| PRMU | 2013-02-22 10:00 |
Osaka | Image recognition based on hidden Markov eigen-image models with the variational Bayesian method Kei Sawada, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.) PRMU2012-165 |
This paper proposes an image recognition technique based on Hidden Markov Eigen-image Models (HMEMs) using the variation... [more] | PRMU2012-165 pp.155-160 |
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