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Technical Committee on Complex Communication Sciences (CCS) (Searched in: 2019)
Search Results: Keywords 'from:2019-11-14 to:2019-11-14'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| CCS | 2019-11-14 13:00 |
Hyogo | Kobe Univ. | Phase reduction approach to spatiotemporal synchronization of traveling and oscillating convection Yoji Kawamura (JAMSTEC)  CCS2019-24 |
We formulate a theory for the phase reduction of traveling and oscillating thermal convection in a two-dimensional incom... [more] | CCS2019-24 pp.1-4 |
| CCS | 2019-11-14 13:25 |
Hyogo | Kobe Univ. | Calibration of Confidence in Deep Learning under Dataset Shift Kazuki Yoshida, Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) CCS2019-25 |
Calibration of confidence is important when you want to obtain not only the prediction class of unknown data but also th... [more] | CCS2019-25 pp.5-8 |
| CCS | 2019-11-14 13:50 |
Hyogo | Kobe Univ. | Stationary Patterns in Three-state Face-centered Cubic Cellular Automata Shigeru Ninagawa (KIT) CCS2019-26 |
Three state cellular automata on face-centered cubic lattice have propagating patterns. To develop computation system, ... [more] |
CCS2019-26 pp.9-14 |
| CCS | 2019-11-14 14:15 |
Hyogo | Kobe Univ. | Optimization and Parallelization of Superefficient Chaotic Monte Carlo Computation Xiao Jin, Ken Umeno (Kyoto Univ.) CCS2019-27 |
(To be available after the conference date) [more] | CCS2019-27 pp.15-18 |
| CCS | 2019-11-14 14:55 |
Hyogo | Kobe Univ. | [Invited Talk]
Superefficient Monte Carlo Computation
-- Why chaotic correlation matters in efficiency of Monte Carlo computation? and similarity between quantum computation and superefficient Monte Carlo computation -- Ken Umeno (Kyoto Univ.) |
[more] | |
| CCS | 2019-11-14 16:40 |
Hyogo | Kobe Univ. | [Invited Talk]
From Wearable and IoT to Cyborg Masahiko Tsukamoto (Kobe Univ.) CCS2019-28 |
[more] | CCS2019-28 pp.19-22 |
| CCS | 2019-11-15 09:30 |
Hyogo | Kobe Univ. | An application of reinforcement learning in anti-jamming mechanism of mobile robot path planning with co-safe temporal logic specifications Jian Mi, Naomi Kuze, Toshimitsu Ushio (Osaka Univ.) CCS2019-29 |
This paper provides a method for mobile robot path planning with syntactically co-safe Linear Temporal Logic (scLTL) spe... [more] | CCS2019-29 pp.23-28 |
| CCS | 2019-11-15 09:55 |
Hyogo | Kobe Univ. | Basics characteristics asynchronous discrete state reservoir Masato Ishikawa, Hiroyuki Torikai (Hosei Univ.) CCS2019-30 |
This paper studies a neuron model (soma-dendrite-spine model), the dynamics of which is described by an asynchronous ce... [more] | CCS2019-30 pp.29-32 |
| CCS | 2019-11-15 10:20 |
Hyogo | Kobe Univ. | Deformation of Embedding Space for Image-Caption Retrieval Takashi Matsubara (Kobe Univ.) CCS2019-31 |
[more] | CCS2019-31 pp.33-36 |
| CCS | 2019-11-15 10:45 |
Hyogo | Kobe Univ. | Deep Unsupervised Defect Segmentation Robust to Aleatoric Uncertainty Kazuki Sato, Kenta Hama, Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) CCS2019-32 |
[more] | CCS2019-32 pp.37-40 |
| CCS | 2019-11-15 11:10 |
Hyogo | Kobe Univ. | Mental Disorder Diagnosis Based on fMRI Images by Deep Generative Model Using Attribute Koki Kusano, Tetsuo Tashiro, Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) CCS2019-33 |
[more] | CCS2019-33 pp.41-44 |
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