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Technical Committee on Neurocomputing (NC) (Searched in: 2019)
Search Results: Keywords 'from:2020-01-23 to:2020-01-23'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLP, NC (Joint) |
2020-01-24 14:10 |
Okinawa | Miyakojima Marine Terminal | Characterization of intermittent combustion instability in a multi-sector staged combustor Chinami Aoki, Naohiro Takeda, Yuhei Shinchi, Hiroshi Gotoda (TUS), Takeshi Shoji, Seiji Yoshida (JAXA)  NLP2019-96 |
[more] | NLP2019-96 pp.59-62 |
| NLP, NC (Joint) |
2020-01-24 14:45 |
Okinawa | Miyakojima Marine Terminal | Application of Neuromorphic Computing to Spacecraft Navigation with Crater Classification Task Kazuki Kariya (SOKENDAI), Seisuke Fukuda (JAXA) NC2019-66 |
[more] | NC2019-66 pp.39-44 |
| NLP, NC (Joint) |
2020-01-24 15:05 |
Okinawa | Miyakojima Marine Terminal | An exhaustive scenario inspection of two vehicles on the road toward the complete safety assessment of automated driving systems with arbitrary N-body interactions Keita Kawano (Kyutech), Ryosuke Katoh, Hisashi Imanaga (JARI), Hiroaki Wagatsuma (Kyutech/RIKEN CBS/AIRC-AIST) NC2019-67 |
According to the commercialization of of automatic driving systems in recent years, the establishment of international s... [more] | NC2019-67 pp.45-50 |
| NLP, NC (Joint) |
2020-01-24 15:25 |
Okinawa | Miyakojima Marine Terminal | An Extension of the Multistate Network Model with a Self-Recovery Property to the Robot Arm Posture Problem in a Dynamic Environment Natsuki Shirasawa, Dondogjamts Batbaata (Kyutech), Keiichi Ueda (Univ. Toyama), Hiroaki Wagatsuma (Kyutech) NC2019-68 |
According to an ill-posed problem with a certain number of degrees of freedom in the case of determination of a posture ... [more] | NC2019-68 pp.51-56 |
| NLP, NC (Joint) |
2020-01-24 15:50 |
Okinawa | Miyakojima Marine Terminal | Computer assisted proof of existence of periodic solutions for a differential-differece equation of a model of El Niño phenomenon Shin'ichi Oishi (Waseda Univ.) NLP2019-97 |
(To be available after the conference date) [more] | NLP2019-97 pp.63-66 |
| NLP, NC (Joint) |
2020-01-24 16:10 |
Okinawa | Miyakojima Marine Terminal | 26-bit 400-neuron 0.3-ksps FORCE Learning FPGA Core for Reservoir Computing koyo Minamikawa, Shunya Suzuki, Megumi Akai-Kasaya, Tetsuya asai (Hokkaido Univ.) NLP2019-98 |
Reservoir Computing (RC) is a type of Recurrent Neural Network (RNN) and are used for processing time series. Since the... [more] |
NLP2019-98 pp.67-72 |
| NLP, NC (Joint) |
2020-01-24 16:30 |
Okinawa | Miyakojima Marine Terminal | Electronic implementation of a physical reservoir composed of discrete semiconductor devices Shunya Suzuki, Koyo Minamikawa, Megumi Akai-Kasaya, Tetuya Asai (Hokkaido Univ.) NLP2019-99 |
Reservoir computing is a recurrent neural network that has loop structures. The main difference from typical recurrent n... [more] | NLP2019-99 pp.73-78 |
| NLP, NC (Joint) |
2020-01-24 17:05 |
Okinawa | Miyakojima Marine Terminal | [Invited Talk]
Neocognitron: Deep Convolutional Neural Network Kunihiko Fukushima (FLSI) NLP2019-100 |
Recently, deep convolutional neural networks (deep CNN) have become very popular in the field of visual pattern recognit... [more] | NLP2019-100 pp.79-82 |
| NLP, NC (Joint) |
2020-01-25 09:30 |
Okinawa | Miyakojima Marine Terminal | On univariate continuous multimodal analysis and discrete multimodal analysis (2) Hideo Kanemitsu, Konno Hideaki (Hokkaido Univ. of Edu.) NLP2019-101 |
The (continuous) multimodal function of continuous variables defined by the authors focuses on the minimum (local) value... [more] | NLP2019-101 pp.83-88 |
| NLP, NC (Joint) |
2020-01-25 09:50 |
Okinawa | Miyakojima Marine Terminal | Quantitative Evaluation of Dynamics in Chaotic Neural Network Reservoir Keisuke Fukuda, Maakito Inoue, Yoshihiko Horio (Tohoku Univ.) NLP2019-102 |
A chaotic neural network reservoir has been proposed as a method to introduce diversity in reservoir neural network dyna... [more] | NLP2019-102 pp.89-94 |
| NLP, NC (Joint) |
2020-01-25 10:10 |
Okinawa | Miyakojima Marine Terminal | Application of Chaotic Neural Network Reservoir to Speech Recognition Maakito Inoue, Keisuke Fukuda, Yoshihiko Horio (Tohoku Univ.) NLP2019-103 |
The neural network reservoir is a learning network model using the recurrent neural network. The chaotic neural network ... [more] | NLP2019-103 pp.95-98 |
| NLP, NC (Joint) |
2020-01-25 10:30 |
Okinawa | Miyakojima Marine Terminal | Mathematical modeling of spintronics neuron device based on thermal dynamics Yushi Kikuchi, Taku Sato, Aleksandr Kurenkov, Yoshihiko Horio, Shunsuke Fukami (TU) NLP2019-104 |
Spintronics device has been shown to reproduce some functionalities of synapse (i.e. spike-timing-dependent plasticity) ... [more] | NLP2019-104 pp.99-104 |
| NLP, NC (Joint) |
2020-01-25 10:50 |
Okinawa | Miyakojima Marine Terminal | Oscillations of A Drone with A Tilting Frame using Parallel Link Mechanism Akinori Sakaguchi, Toshimitsu Ushio (Osaka Univ.) NLP2019-105 |
[more] | NLP2019-105 pp.105-108 |
| NLP, NC (Joint) |
2020-01-25 11:10 |
Okinawa | Miyakojima Marine Terminal | Comparison between Gradient Projection and Bound Constrained Conjugate Gradient Methods for CT Image Reconstruction Kazunori Matsuoka, Yuichi Tanji, Ken'ichi Fujimoto, Hiroyuki Kitajima, Yo Horikawa (Kagawa Univ.) NLP2019-106 |
[more] | NLP2019-106 pp.109-112 |
| NLP, NC (Joint) |
2020-01-25 12:50 |
Okinawa | Miyakojima Marine Terminal | A Simplified Model with Elastic Materials to Reproduce the Jumping Dynamics of Animals and Analyses of the Accumulation-Release Relationship at the Kicking Moment Kenta Tsukamoto, Pancho N. Dachkinov, Dondogjamts Batbaatar, Hiroaki Wagatsuma (Kyutech) NC2019-69 |
The biomechanics to realize a jumping motion is of interest to roboticists, because the rotary actuator has a limitation... [more] | NC2019-69 pp.57-62 |
| NLP, NC (Joint) |
2020-01-25 13:10 |
Okinawa | Miyakojima Marine Terminal | Self-Organizing Map with Triangular Neighborhood Function Based on Frequency-Modulated Signal Hiroomi Hikawa (Kansai Univ.) NC2019-70 |
[more] | NC2019-70 pp.63-68 |
| NLP, NC (Joint) |
2020-01-25 13:30 |
Okinawa | Miyakojima Marine Terminal | Estimation of the high-risk area of potential crime using sparse estimation and consideration of crime occurrence mechanism Sho Ichigozaki (NPA/UEC), Takahiro Kawashima, Hayaru Shouno (UEC) NC2019-71 |
[more] | NC2019-71 pp.69-74 |
| NLP, NC (Joint) |
2020-01-25 13:50 |
Okinawa | Miyakojima Marine Terminal | Object-in-Place Representation and Integration of Hippocampus-Entorhinal Cortex Model for Home Service Robots Yusuke Maeda, Katsumi Tateno, Takashi Morie (Kyutech) NC2019-72 |
(To be available after the conference date) [more] | NC2019-72 p.75 |
| NLP, NC (Joint) |
2020-01-25 14:10 |
Okinawa | Miyakojima Marine Terminal | Statistical-mechanical analysis of the dynamic behavior of adaptive Volterra filter Kimiko Motonaka, Tomoya Koseki, Yoshinobu Kajikawa, Seiji Miyoshi (Kansai Univ.) NC2019-73 |
[more] | NC2019-73 pp.77-82 |
| NLP, NC (Joint) |
2020-01-25 14:30 |
Okinawa | Miyakojima Marine Terminal | Expert User-Item Modeling Each Topics Based on Tensor SOM and Latent Dirichlet Allocation Tatsuya Kanatsu, Tetsuo Furukawa, Kaori Yoshida (Kyutech) NC2019-74 |
User-item modeling is the foundation of recommendation systems. In this paper, we propose a method of building a set of ... [more] | NC2019-74 pp.83-88 |
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