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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 169  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SIS 2022-12-05
15:10
Osaka
(Primary: On-site, Secondary: Online)
Application of Adversarial Training in Detection of Calcification Regions from Dental Panoramic Radiographs
Sei Takano, Mitsuji Muneyasu, Soh Yoshida, Akira Asano (Kansai Univ.), Keiichi Uchida (Matsumoto Dental Univ. Hospital) SIS2022-28
Calcification regions that are a sign of vascular diseases may be observed on dental panoramic radiographs. The finding ... [more] SIS2022-28
pp.26-31
SIS, ITE-BCT 2022-10-14
10:00
Aomori Hachinohe Institute of Technology
(Primary: On-site, Secondary: Online)
Robust Semi-Supervised Learning for Noisy Labels Using Early-learning Regularization and Weighted Loss
Ryota Higashimoto, Soh Yoshida, Mitsuji Muneyasu (Kansai Univ.) SIS2022-16
Training Deep Neural Networks (DNNs) on datasets with incorrect labels (label noise) is an important challenge. In the p... [more] SIS2022-16
pp.27-32
EA, ASJ-H 2022-08-05
10:30
Miyagi
(Primary: On-site, Secondary: Online)
On causes of secondary path estimation error destabilizing active noise control and stabilization measures
Kensaku Fujii (Kodaway Lab.), Mitsuji Muneyasu (Kansai Univ.), Yoshifumi Chisaki (CIT) EA2022-36
In this paper, we clarify the mechanism of secondary path estimation error destabilizing active noise control and presen... [more] EA2022-36
pp.48-55
SIS 2022-03-03
14:10
Online Online Character Region Detection from Wood Slips of the Chinese Han Period Focusing on Character Boundaries Based on U-Net
Hojun Shimoyama, Soh Yoshida, Takao Fujita, Mitsuji Muneyasu (Kansai Univ.) SIS2021-35
 [more] SIS2021-35
pp.26-31
EA, SIP, SP, IPSJ-SLP [detail] 2022-03-01
09:20
Okinawa
(Primary: On-site, Secondary: Online)
[Poster Presentation] Methods applied to active sinusoidal noise control and their merits and demerits
Kensaku Fujii (Kodaway Lab.), Mitsuji Muneyasu (Kansai Univ.), Yushifumi Chisaki (CIT) EA2021-64 SIP2021-91 SP2021-49
In this paper, we compare the noise reduction effects provided by the feedback type applying the normalized least mean s... [more] EA2021-64 SIP2021-91 SP2021-49
pp.1-8
EA, US
(Joint)
2021-12-23
09:55
Kumamoto Sojo University Active sinusoidal noise control applying cascade connection of first order recursive and second order non-recursive filters to frequency conversion method
Kensaku Fujii (Kodaway Lab.), Mitsuji Muneyasu (Kansai Univ.), Yoshifumi Chisaki (CIT) EA2021-61
In this paper, we verify the effect of applying the cascade connection of the first oreder recursive type and the second... [more] EA2021-61
pp.24-31
SIS, ITE-BCT 2021-10-07
14:45
Online Online A Method of Data Detection from Images on Curved Surfaces in Data Embedding to Printed Images Using Mobile Devices
Fumiaki Kotegawa, Mitsuji Muneyasu, Soh Yoshida (Kansai Univ.) SIS2021-14
A method of embedding data to printed images and retrieving the data using a mobile device has been proposed. This metho... [more] SIS2021-14
pp.23-28
SIS, ITE-BCT 2021-10-07
15:05
Online Online A Method for Generating Pseudo-Captured Images to Evaluate the Performance of Data Embedding Techniques to Printed Images Using Mobile Devices
Masahiro Yasuda, Mitsuji Muneyasu, Soh Yoshida (Kansai Univ.) SIS2021-15
A data-embedding technique to printed images has been proposed. In this technique, the embedded data is retrieved from t... [more] SIS2021-15
pp.29-34
SIS, ITE-BCT 2021-10-08
11:30
Online Online Analysis of Writing Style on Wood Slips of the Chinese Han period Using Deep Generative Model
Chiang Meng Yuan, Soh Yoshida, Takao Fujita, Mitsuji Muneyasu (Kansai Univ.) SIS2021-20
In this paper, we develop a method to objectively analyze the calligraphic styles of wood slips excavated in Northwester... [more] SIS2021-20
pp.54-59
EA, ASJ-H 2021-08-20
15:25
Online Online A study on methods for estimating the frequency of arriving sound by using frequency conversion for active sinusoidal noise control
Kensaku Fujii (Kodaway Lab.), Mitsuji Muneyasu (Kansai Univ.), Yoshifumi Chisaki (CIT) EA2021-24
in this paper, we propose a method for estinating the frequency of arriving sine wave by uisng frequency conversion for ... [more] EA2021-24
pp.19-26
EA, ASJ-H 2021-07-15
10:20
Online Online Substitution effect of frequency conversion method for filtered-x LMS algorithm applied to active sinusoidal noise control
Kensaku Fujii (Kodaway Lab.), Mitsuji Muneyasu (Kansai Univ.), Yoshifumi Chisaki (CIT) EA2021-3
In this paper, we verify the substitution effect of frequency conversion method for filtered-x LMS algorithm applied to ... [more] EA2021-3
pp.10-17
SIS 2021-03-04
13:30
Online Online Improvement of Detection Accuracy of Calcification Regions from Dental Panoramic Radiograph Using Deep Learning
Taito Murano, Mitsuji Muneyasu, Soh Yoshida, Akira Asano (Kansai Univ.), Keiichi Uchida (Matsumoto Dental Univ. Hospital), Dewake Nanae, Yasuaki Ishioka, Nobuo Yoshinari (Matsumoto Dental Univ.) SIS2020-45
Dental panoramic radiographs may show calcified areas that are a sign of vascular disease. Finding these areas in dentis... [more] SIS2020-45
pp.55-60
SIS 2021-03-04
14:30
Online Online Detection of Users Spreading Fake News Using Graph Neural Network
Soh Yoshida, Hayato Matsumoto, Mitsuji Muneyasu (Kansai Univ.) SIS2020-48
Social media has become one of the primary news sources for people around the world. However, there is an increased risk... [more] SIS2020-48
pp.71-76
EA, US, SP, SIP, IPSJ-SLP [detail] 2021-03-03
14:05
Online Online [Poster Presentation] A Study on active sinusoidal noise reduction system not requiring adaptive algorithm and secondary path filter
Kensaku Fujii (Kodaway Lab.), Mitsuji Muneyasu (Kansai Univ.), Yoshifumi Chisaki (CIT) EA2020-65 SIP2020-96 SP2020-30
In this paper, we proposed an active sinusoidal noise control system not requiring adaptive algorithm and secondary path... [more] EA2020-65 SIP2020-96 SP2020-30
pp.33-40
EA 2020-12-14
11:35
Online Online A study on method improving noise reduction effect for filtered-x algorithm under high environmental noise
Kensaku Fujii (Kodaway Lab.), Mitsuji Muneyasu (Kansai Univ.), Yoshifumi Chisaki (Chiba Inst. Tech.) EA2020-51
In this paper, we propose a method for reducing the bias error caused by surrounding noise arriving at a noise detection... [more] EA2020-51
pp.31-38
SIS 2020-03-05
15:00
Saitama Saitama Hall
(Cancelled but technical report was issued)
Character region detection from wood slips of the Han period based on deep learning
Soh Yoshida, Masayuki Tanichi, Takao Fujita, Mitsuji Muneyasu (Kansai Univ.) SIS2019-44
 [more] SIS2019-44
pp.39-44
SP, EA, SIP 2020-03-03
09:00
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
A study on step size control method for pre-estimating adaptive filter in feedback type active noise control systems
Kensaku Fujii (Kodaway Lab.), Mitsuji Muneyasu (Kansai Univ.), Yoshifumi Chisaki (CIT) EA2019-143 SIP2019-145 SP2019-92
In this paper, we propose a method for detecting the convergence of the adaptive filter estimating the feedback path in ... [more] EA2019-143 SIP2019-145 SP2019-92
pp.243-250
SIS 2019-12-12
13:50
Okayama Okayama University of Science Improvement of Detection Accuracy of Calcified Area from Dental Panoramic Radiograph Using Deep Learning
Yasuhiro Yamazaki, Mitsuji Muneyasu, Soh Yoshida, Akira Asano (Kansai Univ.), Keiichi Uchida, Yasuaki Ishioka, Nobuo Yoshinari, Akira Taguchi (Matsumoto Dental Univ.) SIS2019-24
In dental panoramic radiographs, calcification regions, which may be a sign of vascular disease, can be found. It is pos... [more] SIS2019-24
pp.5-10
SIS 2019-12-12
14:10
Okayama Okayama University of Science CNN-based image recognition using mislabeled training data
Hiroshi Takeda, Soh Yoshida, Mitsuji Muneyasu (Kansai Univ.) SIS2019-25
 [more] SIS2019-25
pp.11-15
SIS 2019-12-12
16:55
Okayama Okayama University of Science [Fellow Memorial Lecture] Adaptive signal processing and image processing, linear or non-linear?
Mitsuji Muneyasu (Kansai Univ.) SIS2019-30
It is well known that an image is nonstationary, the processing according to its local property should be required. Ther... [more] SIS2019-30
p.37
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