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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 1617  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] 2024-06-20
15:50
Okinawa OIST Distributionally Robust Safe Sample Screening and Its Application to Infinite-width Deep Neural Networks
Tatsuya Aoyama (Nagoya Univ.), Hiroyuki Hanada (RIKEN), Satoshi Akahane, Yoshito Okura, Tomonari Tanaka (Nagoya Univ.), Yu Inatsu (NITech), Noriaki Hashimoto (RIKEN), Taro Murayama, Lee Hanju, Shinya Kojima (DENSO), Ichiro Takeuchi (Nagoya Univ.)
(To be available after the conference date) [more]
IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] 2024-06-21
16:40
Okinawa OIST Gradually Growing SparseNet
Takumi Nakamura, Shogo Taneda, Yukari Yamauchi (NU)
(To be available after the conference date) [more]
IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] 2024-06-22
11:15
Okinawa OIST Oscillation-driven reservoir computing for long-term timing/chaotic time-series prediction
Yuji Kawai (Osaka Univ.), Takashi Morita (Chubu Univ.), Park Jihoon (NICT/Osaka Univ.), Minoru Asada (IPUT/Osaka Univ./NICT/Chubu Univ.)
(To be available after the conference date) [more]
RCS 2024-06-19
11:10
Okinawa
(Primary: On-site, Secondary: Online)
Evaluation of Information Set Optimization for Neural Network Decoder for Polar Codes and Convolutional Polar Codes
Yuto Nakamura (Kagawa Univ.), Satoshi Suyama, Satoshi Nagata (DOCOMO), Nobuhiko Miki (Kagawa Univ.)
(To be available after the conference date) [more]
RCS 2024-06-21
09:00
Okinawa
(Primary: On-site, Secondary: Online)
A Study on LSTM-Aided GNSS Positioning with LTE Signal as Auxiliary Information
Kotaro Oda, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.)
(To be available after the conference date) [more]
CPSY, DC, RECONF, IPSJ-ARC [detail] 2024-06-11
10:45
Yamanashi Isawa View Hotel
(Primary: On-site, Secondary: Online)
Fault classification and prediction of AI accelerators based on activation maximization
Ma Shanmou, Kazuteru Namba (Chiba Univ.) CPSY2024-8 DC2024-8 RECONF2024-8
(To be available after the conference date) [more] CPSY2024-8 DC2024-8 RECONF2024-8
pp.40-45
NLP, CCS 2024-06-06
09:55
Fukuoka West Japan General Exhibition Center AIM Training approaches for photonic reservoir computing circuits
Keigo Takabayashi, Ryota Nakayama, Takeo Maruyama, Tomoaki Niiyama, Satoshi Sunada (Kanazawa Univ.) NLP2024-15 CCS2024-2
The rapid development of information technology in recent years has led to an explosive increase in the demand for compu... [more] NLP2024-15 CCS2024-2
p.7
NLP, CCS 2024-06-06
10:20
Fukuoka West Japan General Exhibition Center AIM The Relationship between Power Laws in Neural Representation and Image Recognition
Riku Matsumoto, Yasuhiro Tsuno (Ritsumeikan Univ.) NLP2024-16 CCS2024-3
Recent neuroscience research has found that when examining the dimensionality of the neural state space in the primary v... [more] NLP2024-16 CCS2024-3
pp.8-13
NS, PN, OCS
(Joint)
2024-06-06
10:50
Nagasaki
(Primary: On-site, Secondary: Online)
Experimental Demonstration of Adaptive Symbol Decision to Mitigate Transmitter Impairments
Taisei Sekizuka, Takuma Kuno, Reiji Higuchi, Takuro Ochiai, Yojiro Mori, Hiroshi Hasegawa (Nagoya Univ) PN2024-7
Quadrature amplitude modulation / coherent detection systems are being considered for use in datacenters. However, the e... [more] PN2024-7
pp.6-9
NLP, CCS 2024-06-06
16:45
Fukuoka West Japan General Exhibition Center AIM Hierarchical lossless depth image compression based on depth map colorization by cellular neural networks
Tasuku Kuroda, Seiya Kushi, Shungo Saizuka (Chukyo Univ), Tsuyoshi Otake (Tamagawa Univ), Hisashi Aomori (Chukyo Univ) NLP2024-27 CCS2024-14
The widespread of compact and inexpensive RGB-D sensors has recently led to the increased utilization of RGB-D images in... [more] NLP2024-27 CCS2024-14
pp.57-60
NLP, CCS 2024-06-07
09:55
Fukuoka West Japan General Exhibition Center AIM Detection of paroxysmal atrial fibrillation using machine learning
Tatsuki Saji, Hiroyuki Kitajima (Kagawa Univ.) NLP2024-30 CCS2024-17
We created an AI system that detects paroxysmal atrial fibrillations from ECG waveforms using the convolutional neural n... [more] NLP2024-30 CCS2024-17
pp.71-73
ITE-ME, ITE-IST, BioX, SIP, MI, IE [detail] 2024-06-07
10:55
Niigata Nigata University (Ekinan-Campus "TOKIMATE") Price Prediction of Handmade Items using Multimodal Data
Tomoya Sugihara (UTokyo), Shuntaro Masuda (UTokyo.), Shengzhou Yi, Toshihiko Yamasaki (UTokyo) SIP2024-12 BioX2024-12 IE2024-12 MI2024-12
Handmade products differ from mass-produced items as each item is uniquely crafted by hand. Therefore, setting initial p... [more] SIP2024-12 BioX2024-12 IE2024-12 MI2024-12
pp.60-65
PRMU, IPSJ-CVIM 2024-05-16
09:45
Tokyo
(Primary: On-site, Secondary: Online)
Development and evaluation of a video segmentation model using differences between frames
Sota Kawamura, Hirotada Honda, Shugo Nakamura, Takashi Sano (Toyo Univ) PRMU2024-3
Automatic Video Object Segmentation (AVOS) involves the extraction of target objects in videos autonomously, without hu... [more] PRMU2024-3
pp.13-17
NLP 2024-05-10
10:30
Kagawa Kagawa Prefecture Social Welfare Center Federated Learning Algorithms based on Decentralized Spanning Tree Generation and Step-by-Step Consensus
Yuki Mori, Tatsuya Kayatani, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NLP2024-11
A large amount of high-quality data is necessary to improve the learning accuracy of neural networks. However, there are... [more] NLP2024-11
pp.52-57
NLP 2024-05-10
11:20
Kagawa Kagawa Prefecture Social Welfare Center Lossless Color Image Compression Based on Colorization by Cellular Neural Networks
Shungo Saizuka, Seiya Kushi, Tasuku Kuroda (Chukyo Univ.), Tsuyoshi Otake (Tamagawa Univ.), Hisashi Aomori (Chukyo Univ.) NLP2024-13
Colorization is the process that restores colors on a grayscale image.
Recently, various colorization-based encoding me... [more]
NLP2024-13
pp.63-67
CCS 2024-03-27
13:00
Hokkaido RUSUTSU RESORT Training of Encoder-Decoder models and its application towards edge computing
Koki Nobori, Hiiro Yamazaki, Kota Ando, Tetsuya Asai (Hokkaido Univ.) CCS2023-42
This study investigates the use of the Encoder-Decoder architecture and its application to generative AI for learning on... [more] CCS2023-42
pp.18-23
CCS 2024-03-27
14:00
Hokkaido RUSUTSU RESORT Evaluation of recurrent neural network training using multi-phase quantization optimizer
Hiiro Yamazaki, Itsuki Akeno, Koki Nobori, Tetsuya Asai, Kota Ando (Hokkaido Univ.) CCS2023-44
In this research, we apply "Holmes", an optimizer dedicated to edge training of neural networks, to recurrent neural net... [more] CCS2023-44
pp.30-35
ICSS, IPSJ-SPT 2024-03-22
10:55
Okinawa OIST
(Primary: On-site, Secondary: Online)
Improved signature-embedding techniques against backdoor attacks on DNN models
Akira Fujimoto, Yuntao Wang, Atsuko Miyaji (OU) ICSS2023-87
In recent years, machine learning, particularly deep learning, has made remarkable strides, and has great impact on our ... [more] ICSS2023-87
pp.129-136
ICSS, IPSJ-SPT 2024-03-22
14:55
Okinawa OIST
(Primary: On-site, Secondary: Online)
Adversarial Examples with Missing Perturbation Using Laser Irradiation
Daisuke Kosuge, Hayato Watanabe, Taiga Manabe, Yoshihisa Takayama, Toshihiro Ohigashi (Tokai Univ.) ICSS2023-97
In recent years, neural networks have made remarkable progress in the field of image processing and other areas, and the... [more] ICSS2023-97
pp.201-207
AP 2024-03-14
10:25
Fukui UNIVERSITY OF FUKUI
(Primary: On-site, Secondary: Online)
Direction of arrival estimation using neural networks and Uniform Cross Array for LoS-MIMO transmission
Motoshi Tawada, Yoshichika Ohta (SoftBank) AP2023-202
The feeder link between the fixed ground station and the HAPS requires high capacity to accommodate the traffic of termi... [more] AP2023-202
pp.7-10
 Results 1 - 20 of 1617  /  [Next]  
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