Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
RISING (3rd) |
2023-10-31 13:00 |
Hokkaido |
Kaderu 2・7 (Sapporo) |
[Poster Presentation]
Few Shot Learning-Driven Traffic Forecast for 5G VNF Scaling Qianqian Pan, Akihiro Nakao (The Univ. of Tokyo) |
Virtual network functions (VNFs) make 5G networks more feasible to the diverse and heterogeneous communication environme... [more] |
|
DE, IPSJ-DBS, IPSJ-IFAT [detail] |
2023-09-22 09:00 |
Fukuoka |
Kitakyushu International Conference Center |
DE2023-18 |
(To be available after the conference date) [more] |
DE2023-18 pp.42-47 |
NLC |
2023-09-07 16:20 |
Osaka |
Osaka Metropolitan University. Nakamozu Campus. (Primary: On-site, Secondary: Online) |
Estimation of sentence boundaries in texts on business performance Kaito Takano, Kei Nakagawa (NAM), Hiroyuki Sakai (Seikei Univ.) NLC2023-13 |
In order to maintain a healthy market for financial instruments, listed companies are required to disclose corporate inf... [more] |
NLC2023-13 pp.69-74 |
OFT, OCS, LSJ (Joint) [detail] |
2023-08-24 14:50 |
Hokkaido |
(Primary: On-site, Secondary: Online) |
A study on differential modal delay control by cabling parameter of high-density cable Masashi Kikuchi, Takayoshi Mori, Yusuke Yamada (NTT) OFT2023-9 |
Space Division Multiplexing optical fiber including few-mode fiber is promising technology for expanding transmission ca... [more] |
OFT2023-9 pp.1-6 |
OFT |
2023-05-11 15:25 |
Iwate |
Aiina(Iwate) (Primary: On-site, Secondary: Online) |
A study on loss characteristics of 3-mode dual-step index pure silica core fiber. Taro Iwaya, Yuto Sagae, Takayoshi Mori, Taiji Sakamoto, Takashi Matsui (NTT), Takanori Sato, Kunimasa Saitoh (Hokudai), Kazuhide Nakajima (NTT) OFT2023-3 |
Toward lowering loss and differential mode delay (DMD) of 3-mode fiber, feasibility of pure silica core with dual-step i... [more] |
OFT2023-3 pp.10-13 |
NLC, IPSJ-NL |
2023-03-18 11:05 |
Okinawa |
OIST (Primary: On-site, Secondary: Online) |
Estimating Named Entity Label Representation for Generative Low-Resource NER Yuya Sawada (NAIST), Hiroki Teranishi (RIKEN AIP), Hiroki Ouchi (NAIST), Yuji Matsumoto (RIKEN AIP), Taro Watanabe (NAIST) NLC2022-22 |
Named entity recognition (NER) system needs to identify the entities of novel entity types with fewer examples. Few-shot... [more] |
NLC2022-22 pp.16-21 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2023-03-02 11:05 |
Hokkaido |
Future University Hakodate (Primary: On-site, Secondary: Online) |
A Study of Word Lip-Reading using Meta Learning Michinari Kodama, Takeshi Saitoh (kyutech) PRMU2022-77 IBISML2022-84 |
Lip-reading technology, which estimates utterance content using only visual information, is a kind of supervised learnin... [more] |
PRMU2022-77 IBISML2022-84 pp.102-106 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2023-03-03 09:20 |
Hokkaido |
Future University Hakodate (Primary: On-site, Secondary: Online) |
A Study of Few-shot NeRF by Pseudo-Feature Vectors Evaluation for Unknown Viewpoints Daiju Kanaoka (Kyutech/RIKEN), Motoharu Sonogashira (RIKEN), Hakaru Tamukoh (Kyutech/Neumorph Center), Yasutomo Kawanishi (RIKEN) PRMU2022-101 IBISML2022-108 |
Neural Radiance Fields (NeRF) is a powerful method for novel view synthesis.
However, NeRF requires a large number of ... [more] |
PRMU2022-101 IBISML2022-108 pp.220-225 |
OCS, CS (Joint) |
2023-01-13 09:25 |
Fukuoka |
CANAL CITY HAKATA (Primary: On-site, Secondary: Online) |
Phase compensation method in core-selective switch for few-mode multi-core fiber using spatial light modulator Ryo Watanabe, Atsushi Okamoto, Akihisa Tomita (Hokkaido Univ.) OCS2022-63 |
In order to realize Dence SDM transmission using Few-Mode Multi-Core Fiber(FM-MCF), a switching device adapted to spatia... [more] |
OCS2022-63 pp.18-21 |
SIS |
2022-03-03 14:45 |
Online |
Online |
Few-Shot Music Artist Classification Tianshuai Yu, Yoshimasa Tsuruoka (Tokyo Univ.) SIS2021-36 |
Music artist classification is known as a task in the field of Music Information Retrieval(MIR). Recently, due to the im... [more] |
SIS2021-36 pp.32-37 |
EA, SIP, SP, IPSJ-SLP [detail] |
2022-03-02 15:35 |
Okinawa |
(Primary: On-site, Secondary: Online) |
[Poster Presentation]
Interpolation of head-related transfer function from small amount of observation data using deep learning based on spherical wavefunction expansion Yuki Ito, Tomohiko Nakamura, Shoichi Koyama, Hiroshi Saruwatari (UTokyo) EA2021-90 SIP2021-117 SP2021-75 |
In binaural synthesis, listeners' individual head-related transfer functions (HRTFs) are necessary for highly-immersive ... [more] |
EA2021-90 SIP2021-117 SP2021-75 pp.163-170 |
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] |
2022-02-21 14:25 |
Online |
Online |
A Note on Visual Sentiment Prediction Based on Few-shot Learning using Knowledge Distillation Yingrui Ye, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
The prediction of visual sentiment can be useful to understand users' behaviors. Emotion theories underlying the sentime... [more] |
|
OFT |
2022-01-21 09:35 |
Online |
Online |
Dependence of in-core erbium doping and refractive index distribution in 3-signal LP mode ring core Er-doped fiber Taro Sumitani (Osaka Pref. Univ.), Hirotaka Ono (Shonan Inst. of Tech.), Kanami Ikeda, Osanori Koyama, Makoto Yamada (Osaka Pref. Univ.) OFT2021-65 |
We are developing a few-mode fiber amplifier to realize a long-haul mode-division-multiplexing transmission. It was conf... [more] |
OFT2021-65 pp.51-56 |
WBS, RCC, ITS |
2021-12-13 09:00 |
Online |
Online |
[Poster Presentation]
Demodulation using high order moments for multiple amplitude modulation signals on a stochastic resonance receiver with a few-bit ADC Akihiko Tatematsu, Hiroyuki Hatano, Kosuke Sanada, Kazuo Mori (Mie Univ.), Hiroya Tanaka (Toyota Central R & D Labs), Yukihiro Tadokoro (TRINA) WBS2021-38 ITS2021-12 RCC2021-45 |
The use of a higher frequency range up to sub-terahertz causes a significant restriction on devices. Analog-to-digital c... [more] |
WBS2021-38 ITS2021-12 RCC2021-45 pp.22-27 |
OPE, OCS, OFT (Joint) [detail] |
2021-02-19 14:45 |
Online |
Online |
Applicability of variable apparture technique for measuring mode field diameter of multi-core fibers Atsushi Nakamura (NTT), Ohashi Masaharu (OPU), Yusuke Koshikiya (NTT) OFT2020-71 OPE2020-92 |
Mode field diameter (MFD) is an important parameter for estimating transmission characteristics of optical fibers. A var... [more] |
OFT2020-71 OPE2020-92 pp.72-75(OFT), pp.77-80(OPE) |
OCS, CS (Joint) |
2021-01-15 13:25 |
Online |
Online |
Experiment on joint switch of few-mode multi-core fiber using spatial light modulator Yuta Abe, Atushi Okamoto, Kazuhisa Ogawa, Akihisa Tomita (Hokkaido Univ.), Daiki Soma, Noboru Yoshikane, Takehiro Tsuritani (KDDI Research, Inc.) OCS2020-35 |
In order to realize SDM transmission using few-mode multi-core fibers (FM-MCFs), a switching device adapted to spatially... [more] |
OCS2020-35 pp.42-45 |
PRMU |
2020-12-17 14:40 |
Online |
Online |
Belonging Network
-- Few-shot One-class Image Classification for Classes with Various Distributions -- Takumi Ohkuma, Hideki Nakayama (UT) PRMU2020-44 |
Few-shot one-class image classification is the task of recognizing a particular class while rejecting test images that d... [more] |
PRMU2020-44 pp.36-41 |
PRMU |
2020-12-17 16:20 |
Online |
Online |
[Short Paper]
Few-Shot Incremental Learning by Unifying with Variational Autoencoder Keita Takayama, Kuniaki Uto, Koichi Shinoda (TokyoTech) PRMU2020-48 |
We propose a few-shot incremental learning method using a variational autoencoder for deep learning. In incremental lear... [more] |
PRMU2020-48 pp.58-62 |
PRMU |
2020-12-18 14:55 |
Online |
Online |
Regularization Using Knowledge Distillation in Learning Small Datasets Ryota Higashi, Toshikazu Wada (Wakayama Univ.) PRMU2020-61 |
Knowledge distillation is a method mainly used for compressing deep learning models, but it has recently gained attentio... [more] |
PRMU2020-61 pp.133-138 |
OFT |
2020-10-08 11:40 |
Online |
Online |
[Poster Presentation]
Numerical evaluation of errors in measuring effective area of few mode fibers due to fiber positioning in VAFF method. Sei-iciro Kida, Yuji Miyoshi, Hirokazu Kubota (Osaka Prefecture Univ.) OFT2020-20 |
The variable aperture in the far-field (VAFF) method measures power in the far-field passing through a set of circular ... [more] |
OFT2020-20 pp.46-49 |