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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLP, CAS | 2023-10-06 16:20 |
Gifu | Work plaza Gifu | Investigating the Learning Performance of Hysteresis Reservoir Computing Kenta Yokoyama, Kenya Jin'no (Tokyo City Univ.)  CAS2023-46 NLP2023-45 |
(To be available after the conference date) [more] | CAS2023-46 NLP2023-45 pp.70-73 |
| NLP | 2023-05-13 13:25 |
Fukushima | Kenshin Koriyama Cultural Center (Koriyama, Fukushima) | Fundamental Considerations in Representation Learning for Multimodal Processing Kenya Jin'no, Masato Izumi, Saki Okamoto, Tatsuro Inami, Mizuki Dai, Chisato Takahashi (Tokyo City Univ.) NLP2023-6 |
[more] | NLP2023-6 pp.23-28 |
| NLP, MSS | 2023-03-17 13:10 |
Nagasaki | (Primary: On-site, Secondary: Online) |
Periodic Memory and Learning Chaotic Dynamical Systems in Hysteresis Reservoir Computing Tsukasa Saito, Kenya Jin'no (Tokyo City Univ.) MSS2022-100 NLP2022-145 |
Hysteresis Reservoir Computing, which applies a simple hysteresis network to the reservoir layer of reservoir computing,... [more] | MSS2022-100 NLP2022-145 pp.178-181 |
| NLP, MSS | 2023-03-17 13:30 |
Nagasaki | (Primary: On-site, Secondary: Online) |
Investigation of similarity between synonyms using sentence vectors generated by Sentence-BERT Masato Izumi, Kenya Jin'no (Tokyo City Univ.) MSS2022-101 NLP2022-146 |
The sentence vector output by Sentence-BERT has 768 dimensions. These 768 dimensions cannot be completely divided into w... [more] | MSS2022-101 NLP2022-146 pp.182-185 |
| CCS | 2022-11-18 09:00 |
Mie | (Primary: On-site, Secondary: Online) |
Voice Quality Conversion by Two-Step Process of Speech Feature Extraction and Speaker-Controlled Speech Synthesis Taichi Fukawa, Kenya Jin'no (Tokyo City Univ.) CCS2022-52 |
Many methods have been proposed in the field of voice quality conversion that use a style-transforming autoencoder. Howe... [more] | CCS2022-52 pp.47-52 |
| CCS | 2022-11-18 09:25 |
Mie | (Primary: On-site, Secondary: Online) |
Study of Super-Resolution by CNN Haruka Oka, Kenya Jin'no (Tokyo City Univ.) CCS2022-53 |
[more] | CCS2022-53 pp.53-56 |
| CCS | 2022-11-18 09:50 |
Mie | (Primary: On-site, Secondary: Online) |
Consideration of an indicator of the total channels suitable for CNN Chisato Takahashi, Kenya Jin'no (TCU) CCS2022-54 |
Neural Architecture Search (NAS), which aims to automatically optimize the structure in order to search for neural netwo... [more] | CCS2022-54 pp.57-60 |
| IN, CCS (Joint) |
2022-08-04 11:30 |
Hokkaido | Hokkaido University(Centennial Hall) (Primary: On-site, Secondary: Online) |
Investigating of the sentence vector for input sentences changing in Sentence-BERT by using UMAP Masato Izumi, Kenya Jin'no (Tokyo City Univ) CCS2022-30 |
We have previously studied whether the sentence vectors, distributed representations of sentences generated by Sentence-... [more] | CCS2022-30 pp.20-23 |
| IN, CCS (Joint) |
2022-08-04 14:00 |
Hokkaido | Hokkaido University(Centennial Hall) (Primary: On-site, Secondary: Online) |
On Learning of MLP by PSO with Perturbati Riku Takatou, Kenya Jin'no (Tokyo City Univ.) CCS2022-32 |
Attempt to learn the coupling coefficients of a multiclass classifier using a simplified multilayer perceptron (MLP) wit... [more] | CCS2022-32 pp.30-34 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-22 10:30 |
Online | Online | On the relationship between properties of the hysteresis reservoir layer and the training output sequence Tsukasa Saito, Kenya Jin'no (Tokyo City Univ) NLP2021-99 MICT2021-74 MBE2021-60 |
Reservoir computing is a type of machine learning model that can be trained at low cost and fast. However, conventional ... [more] | NLP2021-99 MICT2021-74 MBE2021-60 pp.121-124 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-22 16:00 |
Online | Online | Prototype of a Japanese fingerspelling recognition system using MediaPipe and SVM Masanao Yasumuro, Kenya Jin'no (Tokyo City Univ.) NLP2021-115 MICT2021-90 MBE2021-76 |
[more] | NLP2021-115 MICT2021-90 MBE2021-76 pp.205-208 |
| NLP | 2021-12-18 13:00 |
Oita | J:COM Horuto Hall OITA | A Study on the Solution Finding Ability of PSO Considering Micro Perturbations Riku Takato, Kenya Jin'no (Tokyo City University) NLP2021-61 |
The Particle Swarm Optimization (PSO) method is one of the heuristic methods to search for the optimal value of a black ... [more] | NLP2021-61 pp.82-85 |
| NLP | 2021-12-18 13:25 |
Oita | J:COM Horuto Hall OITA | Consideration of a new evaluation criterion based on the Fisher criterion for label estimation of data Ryuhei Motoki, Kenya Jin'no (Tokyo City Univ.) NLP2021-62 |
In supervised learning, training data is labeled. In addition, a large amount of data is required to improve the accurac... [more] | NLP2021-62 pp.86-89 |
| NLP, CAS | 2019-10-22 09:15 |
Gifu | Gifu Univ. | Constraint Satisfaction Problem Solver by Hysteresis Neural Networks Takumi Genka, Kenya Jin'no (Tokyo City Univ.) CAS2019-24 NLP2019-64 |
Since solving Constraint Satisfaction Problems (CSPs) is very important, therefore, many solving methods are proposed. T... [more] | CAS2019-24 NLP2019-64 pp.7-10 |
| MBE, NC, NLP (Joint) |
2018-01-27 10:20 |
Fukuoka | Kyushu Institute of Technology | Nonlinear map model optimization method Kenya Jin'no (NIT) NLP2017-95 |
In this article, we propose a nonlinear map-model optimization (abbr. NMO) method. The NMO consists of some particle who... [more] | NLP2017-95 pp.51-54 |
| NLP | 2017-11-05 13:10 |
Miyagi | Research Institute of Electrical Communication Tohoku University | Analysis of solution search procedure of particle swarm optimization Seinosuke Ishikawa, Kenya Jin'no (NIT) NLP2017-65 |
In order to clarify the solution search procedure of the particle swarm optimization, we have proposed a deterministic p... [more] | NLP2017-65 pp.1-6 |
| NLP | 2017-11-05 14:00 |
Miyagi | Research Institute of Electrical Communication Tohoku University | Optimization for switching phase of PWM inverter Asuna Yamasaki, Kenya Jin'no (NIT) NLP2017-67 |
In this article, we optimize the switching phase of the PWM inverter by using a differential evolution algorithm to impr... [more] | NLP2017-67 pp.13-18 |
| NLP | 2017-11-05 15:05 |
Miyagi | Research Institute of Electrical Communication Tohoku University | On a TSP solver based on PSO Jun Kiyama, Kenya Jin'no (NIT) NLP2017-69 |
Insertion-based particle swarm optimization strategy (abbr．IPSO) is a traveling salesperson problem (abbr．TSP) solver wh... [more] | NLP2017-69 pp.25-28 |
| NLP | 2016-12-12 16:50 |
Aichi | Chukyo Univ. | A Study of Population Size for Particle Swarm Optimization Yuki Kurosawa, Yosuke Hariya, Kenya Jin'no (NIT) NLP2016-95 |
[more] | NLP2016-95 pp.61-66 |
| NLP | 2016-09-14 14:55 |
Hyogo | Konan Univ. | Definition of the map based on a time-invariant property of the relaxation oscillator and its analysis Takuya Kurihara, Kenya Jin'no (Nippon Inst. of Tech) NLP2016-51 |
In this study, we consider a piecewise linear time-invariant relaxation oscillator. First, we define a discrete map of ... [more] |
NLP2016-51 pp.37-40 |
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