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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 705 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
HCGSYMPO
(2nd)
2023-12-11
- 2023-12-13
Fukuoka Asia pacific Import Mart (Kitakyushu)
(Primary: On-site, Secondary: Online)
Extracting valuable complaints for improving events based on topic classification
Nanako Hirao, Ryosuke Yamanishi (Kansai Univ.)
Wide-spread of social media enables us to easily share our comments about things and experientials, including complaints... [more]
HCGSYMPO
(2nd)
2023-12-11
- 2023-12-13
Fukuoka Asia pacific Import Mart (Kitakyushu)
(Primary: On-site, Secondary: Online)
Time series classification of cleaning task motion using acceleration and angular velocity.
Yuya Itagaki, Minami Ishihara, Yuukou Horita (Toyama Univ.)
In recent years, wearable devices have been attracting attention as they have become smaller and lighter, reducing the b... [more]
NLP 2023-11-28
13:50
Okinawa Nago city commerce and industry association Considerations on the distribution of latent variables in CNNs
Mizuki Dai, Kenya Jin'no (Tokyo City Univ.) NLP2023-65
Abstract Fully comprehending the output decision mechanisms of neural networks is a critical challenge. This article foc... [more] NLP2023-65
pp.31-34
EMM, EA, ASJ-H 2023-11-23
13:00
Toyama   [Poster Presentation] A Study of Complexity Reduction for Classification of Musical Instruments Using Element Selection
Ryu Kato, Natsuki Ueno, Nobutaka Ono (Tokyo Metropolitan Univ.), Ryo Matsuda, Kazunobu Kondo (Yamaha Corp.) EA2023-37 EMM2023-68
In this study, we propose complexity reduction in convolutional-neural-network (CNN)-based music instruments classificat... [more] EA2023-37 EMM2023-68
pp.51-56
PRMU, IPSJ-CVIM, IPSJ-DCC, IPSJ-CGVI 2023-11-16
16:50
Tottori
(Primary: On-site, Secondary: Online)
On Food Plant Classification from Luehdorfia Japonica Images using Multi-label Classification ABN
Tsubasa Hirakawa, Takaaki Arai, Takayoshi Yamashita, Hironobu Fujiyoshi, Yuichi Oba, Hiromichi Fukui (Chubu Univ.), Masaya Yago (Tokyo Univ.) PRMU2023-27
Butterfly is a familiar taxon. Because of the abundance of specimens and the ease of comparison between specimens, regio... [more] PRMU2023-27
pp.62-67
SR 2023-11-09
17:00
Miyagi
(Primary: On-site, Secondary: Online)
A Comparison of Classification Learning Algorithm for Location Estimation in 2 Dimensional Indoor Environment Using Received Signal Power and Various Items of Sensed Information
Shunki Sato, Eisuke Kudoh (Tohoku Institute of Tech.) SR2023-55
In the indoor environment, it is difficult to receive radio waves from satellites, and location estimation using GPS, et... [more] SR2023-55
pp.48-51
SR 2023-11-10
10:55
Miyagi
(Primary: On-site, Secondary: Online)
[Short Paper] On Model Transfer with Deep Joint Source Channel Coding
Katsuya Suto, Issa Matsumura, Junichiro Yamada (UEC) SR2023-58
Based on the source channel separation theorem, the current multimedia transfer system employs independently designed so... [more] SR2023-58
pp.61-63
AP 2023-10-19
10:00
Iwate Iwate University
(Primary: On-site, Secondary: Online)
[Poster Presentation] Preliminary Study of Angle-of-Arrival based Indoor Localization Methods using Distributed MIMO Sensors
Koularp Thongsavanh, Togo Ikegami, Minseok Kim (Niigata Univ.) AP2023-91
In recent years, the proliferation of smart devices, the Internet of Things (IoT), and the increasing need for seamless ... [more] AP2023-91
pp.19-24
NS 2023-10-05
13:25
Hokkaido Hokkaidou University + Online
(Primary: On-site, Secondary: Online)
[Invited Lecture] IoT Device Identification based on Traffic Pattern Analysis with Two-stage Clustering
Mizuki Asano, Takumi Miyoshi, Taku Yamazaki (Shibaura Inst. Tech.) NS2023-90
In recent years, the realization of smart homes, which will provide more effective and comfortable lifestyles by leverag... [more] NS2023-90
pp.105-110
IA 2023-09-22
10:40
Hokkaido Hokkaido Univeristy
(Primary: On-site, Secondary: Online)
OLIViS: An OSINT-Based Lightweight Method for Identifying Video Content Services for Capacity Planning in Backbone ISPs
Yuki Tamura, Fumio Teraoka, Takao Kondo (Keio Univ.) IA2023-23
As of 2022, 66% of Internet traffic is generated by video content services, among which Netflix and YouTube are the domi... [more] IA2023-23
pp.75-82
IBISML 2023-09-08 Osaka Osaka Metropolitan University (Nakamozu Campus)
(Primary: On-site, Secondary: Online)
Proposal of a Learning Time Reduction Algorithm in Machine Learning through Input Data Abstraction
Tsubasa Sakoda IBISML2023-27
In this research, I attempt to reduce the learning time of machine learning by using simple calculation such as averagin... [more] IBISML2023-27
pp.12-15
MI 2023-09-08
10:05
Osaka
(Primary: On-site, Secondary: Online)
[Short Paper] Construction of Cell Nucleus Classifier using Complementary-Label Learning towards the Quantification of Grading for Follicular Lymphoma
Ryoichi Koga, Mauricio Kugler, Tatsuya Yokota (NIT), Kouichi Ohshima, Hiroaki Miyoshi, Miharu Nagaishi (Kurume Univ.), Noriaki Hashimoto (RIKEN), Ichiro Takeuchi (Nagoya Univ.), Hidekata Hontani (NIT) MI2023-14
In this paper, we report the cell type classification from a pathological image toward the subtype classification of mal... [more] MI2023-14
pp.1-2
RCS, SAT
(Joint)
2023-08-31
10:30
Nagano Naganoken Nokyo Building, and online
(Primary: On-site, Secondary: Online)
Enhancing CSI Feedback in FDD Massive MIMO Systems using Dropout-based Deep Neural Network
Junjie Gao, Mondher Bouazizi, Tomoaki Ohtsuki (Keio Univ.), Guan Gui (NJUPT) RCS2023-101
Accessing precise downlink channel state information (CSI) is crucial in maximizing the
benefits of frequency division ... [more]
RCS2023-101
pp.1-4
SIP 2023-08-07
12:50
Osaka Osaka Univ. (Suita) Convention Center
(Primary: On-site, Secondary: Online)
An Extension of Image Encryption for Vision Transformer Considering Privacy Protection
Haiwei Lin, Shoko Imaizumi (Chiba Univ.), Kiya Hitoshi (Tokyo Metropolitan Univ) SIP2023-46
In this paper, we propose an extended framework of access control for Vision Transformer (ViT).
The previous study acc... [more]
SIP2023-46
pp.1-6
SIP 2023-08-07
13:10
Osaka Osaka Univ. (Suita) Convention Center
(Primary: On-site, Secondary: Online)
A Perceptual Collation Method for Color Halftone Images Using Vision Transformer
Daiki Fujikawa, Shoko Imaizumi, Takahiko Horiuchi (Chiba Univ.) SIP2023-47
We propose an automatic collation method based on human perception in this paper.
The collation target of the propose... [more]
SIP2023-47
pp.7-12
AP, SANE, SAT
(Joint)
2023-07-12
09:50
Hokkaido The Citizen Activity Center
(Primary: On-site, Secondary: Online)
A Universal Method of Dataset Building for SAR Image Land-use Land-cover Classification and the Evaluation
Jing-Yuan Wang, Josaphat Tetuko Sri Sumantyo (Chiba Univ.) SANE2023-21
Because the awesome characteristics are shown by SAR, the images are widely used in remote sensing fields and various ap... [more] SANE2023-21
pp.1-6
WIT 2023-06-16
14:20
Okinawa Okinawa Industry Support Center
(Primary: On-site, Secondary: Online)
Study on Sign Language Recognition Using Deep Learning -- Recognition by conformer with the introduction of two-word sentences and sign language dictionary structure --
Kouki Ikeda, Tsutomu Kimura (National Institute of Technology,Toyota College) WIT2023-2
This study aims to recognize words used in sentences in sign language recognition using machine learning. In order to tr... [more] WIT2023-2
pp.6-11
MI 2023-05-18
16:00
Aichi Nagoya Congress Center Correlation Between Grid Masks in an Explanation Method for Image Classification
Kentaro Matsumoto, Yuji Ayatsuka (CRESCO) MI2023-5
One of the approaches to visualize the basis for image classification by machine learning is to use output values when c... [more] MI2023-5
pp.14-18
BioX, SIP, IE, ITE-IST, ITE-ME [detail] 2023-05-19
10:00
Mie Sansui Hall, Mie University
(Primary: On-site, Secondary: Online)
EEG-Based Sleep Stage Classification Using a Self-Attention Model
Aozora Ito, Kosuke Fukumori, Toshihisa Tanaka (TUAT) SIP2023-9 BioX2023-9 IE2023-9
EEG-based sleep stage classification is clinically significant, and deep learning is the dominant method for automating ... [more] SIP2023-9 BioX2023-9 IE2023-9
pp.35-40
NLC, IPSJ-NL 2023-03-18
11:45
Okinawa OIST
(Primary: On-site, Secondary: Online)
Detection of Parkinson's disease patients from interview data using pre-trained language models
Aiichiro Hayatsu, Ryohei Sasano, Koichi Takeda (Nagoya Univ.) NLC2022-24
It is estimated that Parkinson’s disease (PD) affects 150,000 people in Japan, and the number of patients increases as s... [more] NLC2022-24
pp.28-31
 Results 21 - 40 of 705 [Previous]  /  [Next]  
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