Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2021-06-28 13:00 |
Online |
Online |
Nonparametric Bayesian Deep Visualization Haruya Ishizuka (Bridgestone Corp.), Daichi Mochihashi (ISM) NC2021-1 IBISML2021-1 |
(To be available after the conference date) [more] |
NC2021-1 IBISML2021-1 pp.1-8 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2021-06-28 13:25 |
Online |
Online |
Training Neural ODE by Symplectic Integrator Takashi Matsubara, Yuto Miyatake (Osaka Univ.), Takaharu Yaguchi (Kobe Univ.) NC2021-2 IBISML2021-2 |
A differential equation model using neural networks, neural ODE, enables use to model a continuous-time dynamics and pr... [more] |
NC2021-2 IBISML2021-2 pp.9-14 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2021-06-28 13:50 |
Online |
Online |
Simplification of Average Consensus Algorithm in Distributed HALS Algorithm for NMF Keiju Hayashi, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NC2021-3 IBISML2021-3 |
Nonnegative Matrix Factorization (NMF) is the process of approximating a given nonnegative matrix by the product of two ... [more] |
NC2021-3 IBISML2021-3 pp.15-22 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2021-06-28 14:15 |
Online |
Online |
Modification of Optimization Problem in Randomized NMF and Design of Optimization Method based on HALS Algorithm Takao Masuda, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NC2021-4 IBISML2021-4 |
Nonnegative matrix factorization (NMF) is the process of decomposing a given nonnegative matrix into two nonnegative fac... [more] |
NC2021-4 IBISML2021-4 pp.23-30 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2021-06-28 14:55 |
Online |
Online |
Development of Automatic Driving Methods for Moving Bodies Based on the Just-In-time Control Method Tatsuya Kai (Tokyo Univ. of Science), Ryouhei Kakurai (TOTO LTD.), Kazuki Fukawa, Shouichi Miyagaitsu (Tokyo Univ. of Science) NC2021-5 IBISML2021-5 |
This study is devoted to development of automatic driving methods for moving bodies such as cars and multicopters based ... [more] |
NC2021-5 IBISML2021-5 pp.31-38 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2021-06-28 15:20 |
Online |
Online |
Predictive Graph Mining using Graphs with Interval Attributes Hinata Asahi, Masayuki Karasuyama (NIT) NC2021-6 IBISML2021-6 |
Graphs have been widely used to represent structured data such as molecular data and traffic networks. In this paper, we... [more] |
NC2021-6 IBISML2021-6 pp.39-46 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2021-06-28 15:45 |
Online |
Online |
Active learning for distributionally robust chance-constrained optimization Yu Inatsu, Shion Takeno, Masayuki Karasuyama (Nitech), Ichiro Takeuchi (Nitech/RIKEN) NC2021-7 IBISML2021-7 |
Chance-constrained optimization (CCO) is one of the constrained optimization problems where some of the inputs to a blac... [more] |
NC2021-7 IBISML2021-7 pp.47-54 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2021-06-28 16:10 |
Online |
Online |
More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method Kazuya Sugiyama (Nitech), Vo Nguyen Le Duy, Ichiro Takeuchi (Nitech/RIKEN) NC2021-8 IBISML2021-8 |
Conditional selective inference (SI) has been actively studied as a new statistical inference framework for data-driven ... [more] |
NC2021-8 IBISML2021-8 pp.55-61 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2021-06-28 16:50 |
Online |
Online |
Constellation of time dependent data using information geometry Taiki Sugiura, Takuma Fuse (Recruit), Noboru Murata (Waseda Univ.) NC2021-9 IBISML2021-9 |
Constellation is an essential technique for gaining knowledge from large amounts of high-dimensional data and understand... [more] |
NC2021-9 IBISML2021-9 pp.62-69 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2021-06-28 17:15 |
Online |
Online |
Non-approximate Inference for Collective Graphical Models on Path Graphs via Discrete Difference of Convex Algorithm Yasunori Akagi, Naoki Marumo, Hideaki Kim, Takeshi Kurashima, Hiroyuki Toda (NTT) NC2021-10 IBISML2021-10 |
The importance of aggregated count data, which is calculated from the data of multiple individuals, continues to increas... [more] |
NC2021-10 IBISML2021-10 pp.70-77 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2021-06-28 17:40 |
Online |
Online |
Translation Dose Not Contain Meaning
-- Translation is Physical Layer Phenomenon -- Kumon Tokumaru (Writer) NC2021-11 IBISML2021-11 |
Translation introduces intelligence from external societies into a linguistic community. However it is not easy to impor... [more] |
NC2021-11 IBISML2021-11 pp.78-84 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2021-06-29 13:30 |
Online |
Online |
A system which gives prediction only when prediction is judged possible Rina Moromizato, Akari Takamine, Koji Kurata (Ryukyu Univ.) NC2021-12 IBISML2021-12 |
[more] |
NC2021-12 IBISML2021-12 pp.85-90 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2021-06-29 13:55 |
Online |
Online |
Proposal of an Analysis Method for fNIRS Using Machine Learning Reiji Ohkuma, Yuto Kurihara, Rieko Osu (Waseda Univ.) NC2021-13 IBISML2021-13 |
Conventional analysis methods for fNIRS require a large number of parameters in preprocessing, and the analysis results ... [more] |
NC2021-13 IBISML2021-13 pp.91-96 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2021-06-29 14:20 |
Online |
Online |
Investigation of pretext task for a classification model of human interaction motion Kenshiro Ata, Yusuke Nishimura (Osaka Univ.), Yuya Okadome, Yutaka Nakamura (RIKEN GRP), Hiroshi Ishiguro (Osaka Univ.) NC2021-14 IBISML2021-14 |
The technology of recognizing human actions has been used not only for recognizing human activities but also for control... [more] |
NC2021-14 IBISML2021-14 pp.97-102 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2021-06-29 15:00 |
Online |
Online |
Development of a generative model for motion pair of two faces during interaction Shota Takashiro (Osaka Univ.), Yutaka Nakamura, Yuya Okadome (GRP), Yusuke Nishimura (.Osaka Univ), Hiroshi Ishiguro (Osaka Univ) NC2021-15 IBISML2021-15 |
[more] |
NC2021-15 IBISML2021-15 pp.103-107 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2021-06-29 15:25 |
Online |
Online |
A finite state markov-chain approximation of the intermittent control model during human quiet standing using a finite element analysis of stochastic hybrid dynamical system Yasuyuki Suzuki, Keigo Togame, Akihiro Nakamura, Taishin Nomura (Osaka Univ) NC2021-16 IBISML2021-16 |
The intermittent control model is capable of reproducing human postural sway during quiet stance by achieving body flexi... [more] |
NC2021-16 IBISML2021-16 pp.108-113 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2021-06-29 15:50 |
Online |
Online |
Consideration of the effects of the basal ganglia activity and past experience on the choice behavior in rats using partial information decomposition Iori Sugiura, Tsukasa Irei (Univ. Ryukyus), Kenji Doya (OIST), Koji Kurata, Ryota Miyata (Univ. Ryukyus) NC2021-17 IBISML2021-17 |
In this study, we evaluated the effects of neural activities in the ventral pallidum (VP) and nucleus accumbens core (NA... [more] |
NC2021-17 IBISML2021-17 pp.114-119 |