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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| AI, JSAI-SAI, JSAI-DOCMAS, IPSJ-ICS, JSAI-KBS (Joint) |
2024-03-03 18:00 |
Hokkaido | (Primary: On-site, Secondary: Online) |
Spatial Analysis for Road Traffic Accident Features in Aichi Prefecture Keisuke Ando, Takeshi Uchitane (AIT), Naoto Mukai (SJU), Kazunori Iwata (AU), Nobuhiro Ito (AIT)  AI2023-46 |
Several methods have been proposed in traffic safety research to quantitatively estimate the risk of traffic accidents a... [more] | AI2023-46 pp.12-17 |
| AI, JSAI-KBS, JSAI-SAI, JSAI-DOCMAS, IPSJ-ICS (Joint) |
2023-03-11 16:00 |
Hokkaido | (Primary: On-site, Secondary: Online) |
Game Development Changes Using Request and Acceptance in AIWolf Itsuki Amano, Keisuke Ando, Takeshi Uchitane (AIT), Kazunori Iwata (AU), Nobuhiro Ito (AIT) AI2022-52 |
It holds an annual contest of AIWolf, which is AI playing werewolf game. Players generally induce topics using requests... [more] |
AI2022-52 pp.24-29 |
| AI, JSAI-SAI, JSAI-KBS, JSAI-DOCMAS, IPSJ-ICS (Joint) |
2022-03-12 09:45 |
Hokkaido | WSSIT2022 (Primary: On-site, Secondary: Online) |
Analysis of Traffic Accident Factors Using Geospatial Data Keisuke Ando, Yusuke Kuniyoshi, Kazuhiko Shimizu, Nobuhiro Ito (AIT), Kazunori Iwata (AU), Takeshi Uchitane (AIT), Naoto Mukai (SJU), Yong Jiang (AU) AI2021-29 |
Aichi Prefecture has one of the most traffic accidents in Japanese prefectures. In this study, we found the significant ... [more] | AI2021-29 pp.19-24 |
| IBISML | 2020-03-10 13:00 |
Kyoto | Kyoto University (Cancelled but technical report was issued) |
EM Algorithm for Mixture Models in Shape Analysis Kazunori Iwata (Hiroshima City Univ.) IBISML2019-33 |
The mixture model is a well-known probabilistic model in statistical modeling to express a population that is composed o... [more] | IBISML2019-33 pp.1-7 |
| IT, ISEC, WBS | 2019-03-08 10:15 |
Tokyo | University of Electro-Communications | Typical performance of the L1 regularization regression from linear measurements with measurement noise and large coherence Minori Ihara, Kazunori Iwata, Kazushi Mimura (Hiroshima City Univ.) IT2018-117 ISEC2018-123 WBS2018-118 |
We evaluate typical performance of compressed sensing in the case where iterative recovery algorithms fail to converge. ... [more] | IT2018-117 ISEC2018-123 WBS2018-118 pp.257-262 |
| AI, JSAI-KBS, JSAI-DOCMAS, JSAI-SAI, IPSJ-ICS | 2016-03-01 - 2016-03-04 |
Hokkaido | A safety path planing algoritm with penalty to avoid collisions Masato Hamasuna, Nobuhiro Ito (AITGS), Kazunori Iwata (AU), Yoshiyuki Koduka (AITGS) AI2015-68 |
In this paper, we propose a new safety shortest-path routing algorithm to avoid traffic congestion for stochastic road b... [more] | AI2015-68 pp.19-24 |
|
| PRMU, IBISML, IPSJ-CVIM [detail] | 2015-09-14 16:45 |
Ehime | A Novel Distance Set as a Shape Descriptor Kazunori Iwata (Hiroshima City Univ.) PRMU2015-75 IBISML2015-35 |
The distance set is well-known in shape matching as a versatile local descriptor of shape. This is easy to construct be... [more] |
PRMU2015-75 IBISML2015-35 pp.55-59 |
|
| IBISML | 2012-06-19 11:30 |
Kyoto | Campus plaza Kyoto | Improving the Variable Setting of Softmax Selection From an Information-Theoretic Viewpoint Kazunori Iwata (Hiroshima City Univ.) IBISML2012-4 |
We focus on softmax selection which is the most popular description of the policy for action selection in reinforcement ... [more] | IBISML2012-4 pp.23-30 |
| MBE, NC (Joint) |
2012-03-15 13:20 |
Tokyo | Tamagawa University | Time Series Alignment with Gaussian Process Priors Shinji Akimoto, Nobuo Suematsu, Akira Hayashi, Kazunori Iwata (Hiroshima City Univ.) NC2011-163 |
We propose a nonparametric Bayesian approach to time series alignment. Given a set of time series data, we can sometimes... [more] | NC2011-163 pp.245-250 |
| NC, MBE (Joint) |
2010-03-09 13:45 |
Tokyo | Tamagawa University | A Comparison of HHMMs and HHCRFs in State Sequence Estimation Hirotaka Tamada, Akira Hayashi, Nobuo Suematsu, Kazunori Iwata (Hiroshima City Univ.) NC2009-105 |
HMMs (hidden Markov models) are well-known generative models for time series data. Recently, however, CRFs (conditional ... [more] | NC2009-105 pp.101-106 |
| NC, MBE (Joint) |
2010-03-09 14:10 |
Tokyo | Tamagawa University | Introducing a New Function to Save the Trouble of Parameter Tuning of Softmax Action-Selection Kenji Ono, Kazunori Iwata, Akira Hayashi, Nobuo Suematsu (Hiroshima City Univ.) NC2009-106 |
Markov decision processes are one of the most popular frameworks for reinforcement learning. The entropy of probability ... [more] | NC2009-106 pp.107-112 |
| NC, MBE (Joint) |
2010-03-10 13:20 |
Tokyo | Tamagawa University | ARMA Model Based Time Series Clustering Using Dirichlet Process Mixture Models Yuki Washizu, Nobuo Suematsu, Akira Hayashi, Kazunori Iwata (Hiroshima City Univ) NC2009-135 |
Dirichlet Process Mixture (DPM) models allow nonparametric mixture modeling in which the number of mixture components is... [more] | NC2009-135 pp.279-284 |
| NC, MBE (Joint) |
2010-03-11 09:50 |
Tokyo | Tamagawa University | Classifying Stochastic Sequential Decision Processes
-- An Information-Spectrum Approach -- Kazunori Iwata (Hiroshima City Univ.) NC2009-144 |
Markov decision processes are the most popular stochastic sequential decision processes in reinforcement learning for r... [more] |
NC2009-144 pp.333-338 |
| NC, MBE (Joint) |
2008-03-14 11:10 |
Tokyo | Tamagawa Univ | Hierarchical Cluster Analysis of Phoneme Data Using the RDSP Method Yuta Onoshiro, Kazunori Iwata, Nobuo Suematsu, Akira Hayashi (Hiroshima City Univ.) NC2007-177 |
The RDSP method is an effective method in hierarchical cluster analysis when the population of samples is characterize... [more] |
NC2007-177 pp.385-390 |
| AI, IPSJ-ICS | 2008-03-06 11:20 |
Hokkaido | The Relevance Between the Disaster Relief Simulation and the Feature About Buildings and Roads Hiroaki Kohketsu (Nitech), Nobuhiro Ito (Aitech), Kazunori Iwata (Aichi Univ.), Koichi Wada (Nitech) AI2007-54 |
In a research area of agents, it is a problem to get a method which evaluates the behavior of agents or multi agent syst... [more] | AI2007-54 pp.61-66 |
|
| PRMU, HIP | 2007-09-04 15:30 |
Aichi | Nagoya Univ. | Cluster Analysis for Identifying the Hierarchical Structure of Subpopulations in Mixture Models Kazunori Iwata, Akira Hayashi (Hiroshima City Univ.) PRMU2007-86 HIP2007-95 |
This paper provides analysis of clusters of labeled samples to identify their underlying hierarchical structure. The k... [more] |
PRMU2007-86 HIP2007-95 pp.245-250 |
| PRMU | 2006-09-09 11:45 |
Fukuoka | Human Gait Identification using a Particle Filter Mitsuharu Emoto, Akira Hayashi, Nobuo Suematsu, Kazunori Iwata (Hiroshima City Univ.) |
[more] | PRMU2006-82 pp.41-48 |
|
| NC | 2006-03-16 09:55 |
Tokyo | Tamagawa University | A New Dissimilarity among Clusters in Clustering Tasks Kazunori Iwata, Akira Hayashi (Hiroshima City Univ.) |
In a probabilistic clustering task, we introduce a novel dissimilarity to properly measure a dissimilarity among multip... [more] |
NC2005-138 pp.79-84 |
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