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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NC, MBE (Joint) |
2014-03-18 15:00 |
Tokyo | Tamagawa University | Human Activity Rcognition with Skeleton-data and Structured Hierarchical Hidden Markov Model Tomoji Sawada, Shin-ichi Maeda, Shin Ishii (Kyoto Univ.)  NC2013-141 |
Recognition of human activities nowadays is used not only for monitoring system, but also interface, motion analysis of... [more] |
NC2013-141 pp.305-310 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2013-09-02 17:30 |
Tottori | Enhancing Probabilistic Appearance-Based Object Tracking with Depth Information
-- Object Tracking under Occlusion -- Kourosh Meshgi, Yu-zhe Li, Shigeyuki Oba, Shin-ichi Maeda, Shin Ishii (Kyoto Univ.) PRMU2013-42 IBISML2013-22 |
Object tracking has attracted recent attention because of high demands for its everyday-life applications. Handling occl... [more] | PRMU2013-42 IBISML2013-22 pp.85-91 |
|
| EA | 2013-07-18 16:30 |
Hokkaido | Health Sci. Univ. of Hokkaido | Basic Study on Auditory ERP-Based Brain-Machine Interface Natsumi Ishido (NAIST), Takeshi Ogawa, Satoshi Morimoto, Atsunori Kanemura, Masaki Maruyama, Motoaki Kawanabe (ATR), Shin Ishii (Kyoto Univ.), Hiroshi Saruwatari, Satoshi Nakamura, Kiyohiro Shikano (NAIST) EA2013-42 |
In recent years, Brain-Machine Interface (BMI), which is a direct communication pathway between the brain and an extern... [more] |
EA2013-42 pp.51-56 |
| MBE, NC (Joint) |
2013-03-15 11:30 |
Tokyo | Tamagawa University | Decoding predicted scene within the brain Yumi Shikauchi, Shin Ishii (Kyoto Univ.) NC2012-175 |
Prediction of upcoming scene is an important cognitive function for decision-making in our daily life. The goal of this ... [more] | NC2012-175 pp.239-242 |
| NC, NLP | 2013-01-24 10:30 |
Hokkaido | Hokkaido University Centennial Memory Hall | Control of the falling cat motion by using path-integral reinforcement learning Daichi Nakano, Shin-ichi Maeda, Shin Ishii (Kyoto Univ) NLP2012-107 NC2012-97 |
The falling-cat motion is a motion for controlling the cat's posture under no existence of external force. To obtain a c... [more] | NLP2012-107 NC2012-97 pp.19-24 |
| NC, NLP | 2013-01-24 10:50 |
Hokkaido | Hokkaido University Centennial Memory Hall | Significance of non-stationary of dynamics for learning cooperative behavior Akihiro Tawa, Shin-ichi Maeda, Shin Ishii (Kyoto Univ.) NLP2012-108 NC2012-98 |
To understand how cooperative behaviors emerge is important in the field of multi-agent system research. Although this e... [more] | NLP2012-108 NC2012-98 pp.25-30 |
| NC, NLP | 2013-01-24 11:10 |
Hokkaido | Hokkaido University Centennial Memory Hall | depth estimation from microscopic images using Bayesian inference Yasuhiro Imoto, Shin-ichi Maeda, Shin Ishii (Kyoto Univ.) NLP2012-109 NC2012-99 |
In cellular biology, it is important to know 3D cellular shape to understand the cellular function. However, existing mi... [more] | NLP2012-109 NC2012-99 pp.31-36 |
| NC, MBE (Joint) |
2011-03-07 15:25 |
Tokyo | Tamagawa University | A simulation study of visual perceptual learning with attentional signals Satoshi Naito, Naoto Yukinawa, Shin Ishii (Kyoto Univ.) NC2010-140 |
Our perceptual ability of arbitrary stimuli can be improved by continued training and exposures to the stimuli. This ex... [more] |
NC2010-140 pp.77-82 |
| NC, MBE (Joint) |
2011-03-08 14:35 |
Tokyo | Tamagawa University | Improved Granger causality tests for network structure estimation from time-series data Hikaru Harima, Shigeyuki Oba, Shin Ishii (Kyoto Univ.) NC2010-178 |
Granger causality and its variants have been proposed for estimating network structure as a causality graph based on cor... [more] | NC2010-178 pp.301-306 |
| MI | 2010-11-15 13:25 |
Kyoto | Shimadzu Corp. | Bayesian modeling of medical X-ray computed tomography Shin-ichi Maeda (Kyoto Univ.), Atsunori Kanemura (ATR), Shin Ishii (Kyoto Univ.) MI2010-73 |
The tradeoff between the resolution of CT images and the amount of exposure to radiation leads us to desire a CT algorit... [more] | MI2010-73 pp.39-44 |
| IBISML | 2010-06-15 15:10 |
Tokyo | Takeda Hall, Univ. Tokyo | Generalization of TD-learning from a Semiparametric Statistical Viewpoint Tsuyoshi Ueno, Shin-ichi Maeda (Kyoto Univ.), Motoaki Kawanabe (Fraunhofer First), Shin Ishii (Kyoto Univ.) IBISML2010-20 |
(Advance abstract in Japanese is available) [more] | IBISML2010-20 pp.131-138 |
| NC, MBE (Joint) |
2010-03-10 11:05 |
Tokyo | Tamagawa University | Bayesian X-ray Computed Tomography Using a Mixture Prior Wataru Fukuda, Shin-ichi Maeda, Atsunori Kanemura, Shin Ishii (Kyoto Univ.) NC2009-133 |
[more] | NC2009-133 pp.267-272 |
| NC, MBE (Joint) |
2010-03-11 14:10 |
Tokyo | Tamagawa University | Organization of Concentric Double-Opponent Receptive Fields in the Primary Visual Cortex by Using Independent Component Analysis Takayoshi Aoki, Yasunobu Igarashi (NAIST), Rui Kimura (RIKEN), Motoori Kon (Kyouto University), Yuichi Sakumura (NAIST), Shin Ishii (Kyouto University) NC2009-151 |
Previous experimental studies showed that neurons in the primary visual cortex have four firing properties to represent... [more] |
NC2009-151 pp.373-378 |
| NC, MBE (Joint) |
2010-03-11 15:00 |
Tokyo | Tamagawa University | Influence of inhibition of return in dynamic properties of visual attention Shinji Hotta (Kyoto Univ.), Shigeyuki Oba (Kyoto Univ./JST), Shin Ishii (Kyoto Univ.) NC2009-153 |
Visual attention tends to avoid locations where past visual attention has once focused. This phenomenon is called inhibi... [more] | NC2009-153 pp.385-390 |
| NC, MBE (Joint) |
2010-03-11 11:05 |
Tokyo | Tamagawa University | Learning of Go board state evaluation by online adaptive natural gradient method Hiroki Tomizawa, Shin-ichi Maeda, Shin Ishii (Kyoto Univ.) NC2009-164 |
We propose a supervised learning of Go board state evaluation function with many game records of experts'. By training a... [more] | NC2009-164 pp.449-454 |
| NC, MBE (Joint) |
2009-03-11 14:20 |
Tokyo | Tamagawa Univ. | The Prediction of cell morphology during the thalamus neural network formation Masato Utsumi, Yuichi Sakumura (Nara Inst. of Sci and Tech.), Akiko Fukunishi, Nobuhiko Yamamoto (Osaka Univ.), Shin Ishii (Kyoto Univ.) NC2008-108 |
(To be available after the conference date) [more] | NC2008-108 pp.31-36 |
| NC, MBE (Joint) |
2009-03-11 16:35 |
Tokyo | Tamagawa Univ. | A Learning Algorithm of Helmholtz Machine with Mean Field Approximation Yuki Aoki (Nara Inst. of Sci and Tech.), Shin-ichi Maeda, Shin Ishii (Kyoto Univ.) NC2008-113 |
It is often required to extract a compact feature of an original high-dimensional datum. Such a compactfeature is useful... [more] | NC2008-113 pp.57-62 |
| NC, MBE (Joint) |
2009-03-12 15:15 |
Tokyo | Tamagawa Univ. | Semiparametric Statistical Approach to Value Function Estimation Tsuyoshi Ueno (Kyoto Univ.), Motoaki Kawanabe (Fraunhofer First), Takeshi Mori, Shin-ichi Maeda, Shin Ishii (Kyoto Univ.) NC2008-146 |
Recently least-squares temporal difference (LSTD) learning has been developed for the model-free value function es... [more] |
NC2008-146 pp.255-260 |
| NC, MBE (Joint) |
2009-03-12 16:05 |
Tokyo | Tamagawa Univ. | A computational model for dopamine activities in uncertain reward prediction Akiyo Asahina (Nara Inst. of Sci and Tech/Kyoto Univ.), Jun-ichiro Hirayama (Kyoto Univ.), Shin Ishii (Kyoto Univ./Nara Inst. of Sci and Tech) NC2008-148 |
In order for animals to behave effectively in their surrounding uncertain environments, it is essentially important to ... [more] |
NC2008-148 pp.267-271 |
| NC, MBE (Joint) |
2009-03-13 09:20 |
Tokyo | Tamagawa Univ. | Modular Reinforcement Learning based on Adaptive Model Complexity Yu Hiei (Nara Inst. of Sci and Tech.), Takeshi Mori (Kyoto Univ.), Shin Ishii (Kyoto Univ./Nara Institute of Science and Technology) NC2008-149 |
In real-world problems such as robot control, the environment surrounding a controlled system is nonstationary, and the ... [more] | NC2008-149 pp.273-278 |
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