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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 304  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2022-12-23
Kyoto Kyoto University
(Primary: On-site, Secondary: Online)
Enhancement of Audio Signals Using Learning from Positive and Unlabelled Data
Nobutaka Ito, Masashi Sugiyama (UTokyo)
(To be available after the conference date) [more]
- 2022-12-16
Kagawa Onsite (Sunport Takamatsu) and Online
(Primary: On-site, Secondary: Online)
Analyzing and Recognizing Synergetic Functions between Head Movements and Facial Expressions in Conversations
Mai Imamura, Kazuki Takeda (YNU), Shiro Kumano (NTT), Kazuhiro Otsuka (YNU)
(To be available after the conference date) [more]
MBE, NC 2022-12-03
Osaka Osaka Electro-Communication University Image Classification Using Gabor Filters as Preprocessing for CNNs
Akito Morita, Hirotsugu Okuno (OIT) MBE2022-32 NC2022-54
Image preprocessing is a promising approach to improve accuracy in image classification using convolutional neural netwo... [more] MBE2022-32 NC2022-54
PRMU 2022-10-21
Tokyo Miraikan - The National Museum of Emerging Science and Innovation
(Primary: On-site, Secondary: Online)
Features and Deep Learning Models Suitable for Speech Source Discrimination Method in Plural Voice User Interfaces Environment
Kengo Maeda, Takahiro Yoshida (TUS) PRMU2022-27
Under the situation that plural devices equipped with a voice user interface exist in the user’s environment in the near... [more] PRMU2022-27
EMCJ, MW, EST, IEE-EMC [detail] 2022-10-13
Akita Akita University
(Primary: On-site, Secondary: Online)
An estimation of magnetic coupling coefficient between parallel two MSLs using machine leaning of near field information
Yusuke Sato, Sho Muroga, Hidefumi Kamozawa, Motoshi Tanaka (Akita Univ.) EMCJ2022-35 MW2022-81 EST2022-45
An estimation method of the magnetic coupling coefficient between printed-circuit-board-level lines using a near field i... [more] EMCJ2022-35 MW2022-81 EST2022-45
BioX 2022-10-03
Okinawa   Performance Improvement of CNN-Based Fingerprint Recognition Using Multiple Attention Mechanism
Nagisa Sasuga, Koichi Ito, Takafumi Aoki (Tohoku Univ.) BioX2022-55
Fingerprint recognition methods that extract multiple features from a fingerprint image using a Convolutional Neural Net... [more] BioX2022-55
BioX 2022-10-03
Okinawa   A Study of Region-Based Iris Recognition Using Convolutional Neural Network
Shokei Kawakami, Hiroya Kawai, Koichi Ito, Takafumi Aoki (Tohoku Univ.), Yoshiko Yasumura, Masakazu Fujio, Yosuke Kaga, Kenta Takahashi (Hitachi) BioX2022-57
The iris, the ring-shaped area between the pupil and the sclera of the eye, has a unique pattern that can be used to ide... [more] BioX2022-57
US 2022-09-20
Online Online Basic study of optimal training data creation conditions for computer-aided diagnosis using ultrasound images of breast tumors
Makoto Yamakawa (SIT), Miho Kanda, Moe Ohshima (Kyoto Univ.), Takeshi Namita, Tsuyoshi Shiina (SIT) US2022-39
The quality of training data is important in the development of computer-aided diagnosis (CAD) that automatically detect... [more] US2022-39
AI 2022-09-16
(Primary: On-site, Secondary: Online)
An image restoration method for lecture videos with projected lecture slides
Yuma Ito, Masato Kikuchi, Tadachika Ozono (NIT) AI2022-32
The lecturers can use their body movements and gestures in the lectures with slides displayed using a projector in the r... [more] AI2022-32
PRMU 2022-09-14
(Primary: On-site, Secondary: Online)
Convolutional Skip Connection for Compressing DNNs with Branched Architectures
Koji Kamma, Toshikazu Wada (Wakayama Univ.) PRMU2022-16
Although Deep Neural Network (DNN) is a core technology in Computer Vision, it is difficult to implement DNN models beca... [more] PRMU2022-16
RECONF 2022-09-08
(Primary: On-site, Secondary: Online)
Proposal and evaluation of Combined Posit MAC unit (CPMAC) for both DNN inference and training
Yuta Masuda, Yasuhiro Nakahara, Masato Kiyama, Masahiro Iida (Kumamoto Univ.) RECONF2022-34
Recently, there has been a lot of research on DNN hardware accelerators for the edge that use Posit as a number represen... [more] RECONF2022-34
SIP 2022-08-25
Okinawa Nobumoto Ohama Memorial Hall (Ishigaki Island)
(Primary: On-site, Secondary: Online)
Structured Deep Image Prior with Interscale Thresholding
Jikai Li, Shogo Muramatsu (Niigata Univ.) SIP2022-55
This work proposes a novel image denoising technique inspired by the deep image prior (DIP) method. Our contribution is ... [more] SIP2022-55
(Primary: On-site, Secondary: Online)
Inter-cell Interference Control by Joint Transmit Power and Transmit Beamforming Control based on Machine Learning
Naoto Tamada, Yuyuan Chang, Kazuhiko Fukawa (Tokyo Tech) RCS2022-118
In mobile communications, densely deployed small cell systems using the same frequency band are expected to increase the... [more] RCS2022-118
ICD, SDM, ITE-IST [detail] 2022-08-10
Online   IC with Integrated Imager and Ultra-Low Latency All-Digital In-Imager 2D Binary Convolutional Neural Network Accelerator for Image Classification
Wang Ruizhi, Takamiya Makoto (The Univ. of Tokyo) SDM2022-53 ICD2022-21
In the field of real-time image recognition, the computing latency of convolutional neural network become an issue. In t... [more] SDM2022-53 ICD2022-21
Ishikawa The Kanazawa Theatre + Online
(Primary: On-site, Secondary: Online)
IRS placement method for improving radio environment spaces shielded by structures
Kazuki Fujii, Katsuya Suto (UEC) SR2022-31
Due to the linearity of radio waves used in Beyond 5G systems, users may suffer from outages even near a base station. T... [more] SR2022-31
CCS, NLP 2022-06-09
(Primary: On-site, Secondary: Online)
Improvement of Recognition Accuracy by Sequential Execution of Unsupervised Learning and Semi-supervised Learning
Hiroki Murakami, Hidehiro Nakano (Tokyo City Univ.) NLP2022-4 CCS2022-4
In this study, we propose a sequential learning method that improves recognition accuracy by alternately utilizing the k... [more] NLP2022-4 CCS2022-4
CCS, NLP 2022-06-09
(Primary: On-site, Secondary: Online)
Basic Performance of CNNs Using Dynamic Filters Based on Octave Convolution
Kiyotaka Matono, Hidehiro Nakano (Tokyo City Univ.) NLP2022-5 CCS2022-5
The methods of using dynamic filters for convolutional neural networks (CNNs) have attracted attentions. In recent years... [more] NLP2022-5 CCS2022-5
RECONF 2022-06-08
Ibaraki CCS, Univ. of Tsukuba
(Primary: On-site, Secondary: Online)
A Compact High-Speed CNN Implementation based on Redundant Computational Analysis and FPGA Acceleration
Li Qi, Li Hengyi, Meng Lin (Ritsumeikan Univ.) RECONF2022-21
Convolutional Neural Networks (CNNs) have achieved high performance and are widely used in various applications. However... [more] RECONF2022-21
SIP, BioX, IE, MI, ITE-IST, ITE-ME [detail] 2022-05-20
Kumamoto Kumamoto University Kurokami Campus
(Primary: On-site, Secondary: Online)
3D Medical Image Segmentation Using 2.5D Deformable Convolutional CNN
Yuya Okumura, Kudo Hiroyuki, Takizawa Hotaka (Tsukuba Univ.) SIP2022-29 BioX2022-29 IE2022-29 MI2022-29
An effective method to improve the accuracy of 3D medical image segmentation using deep learning is to use deformable co... [more] SIP2022-29 BioX2022-29 IE2022-29 MI2022-29
SIP, BioX, IE, MI, ITE-IST, ITE-ME [detail] 2022-05-20
Kumamoto Kumamoto University Kurokami Campus
(Primary: On-site, Secondary: Online)
Deformable registration of 3D medical images with Deep Residual UNet
Taiga Nakamura, Yuki Sato, Hiroyuki Kudo, Hotaka Takizawa (Univ. of Tsukuba) SIP2022-30 BioX2022-30 IE2022-30 MI2022-30
(To be available after the conference date) [more] SIP2022-30 BioX2022-30 IE2022-30 MI2022-30
 Results 1 - 20 of 304  /  [Next]  
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