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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 400 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
EA 2023-05-25
14:00
Online Online Weighting functions to suppress artifacts due to cyclic convolution in acoustic measurements based on discrete Fourier transform
Hideki Kawahara (Wakayama Univ.), Kohei Yatabe (Tokyo Univ. Agriculture Tech.), Mitsunori Mizumachi (Kyushu Inst. Tech.), Ken-Ichi Sakakibara (Health Science Univ. Hokkaido) EA2023-1
The Fast Fourier Transform (FFT) is a common practice in acoustic impulse response measurement and processing due to its... [more] EA2023-1
pp.1-8
SS 2023-03-14
16:30
Okinawa
(Primary: On-site, Secondary: Online)
Toward improving code execution speed using micro benchmark dataset
Fuki Omori, Akinori Ihara, Kazuya Saiki (Wakayama Univ.), Yutaro Kashiwa (NAIST) SS2022-56
There are some implementation approach with same functionality, but their execution speeds are different. It is difficul... [more] SS2022-56
pp.55-60
SS 2023-03-14
18:25
Okinawa
(Primary: On-site, Secondary: Online)
A feature analysis of merged change requests on a version
Mizuki Uenaka, Akinori Ihara (Wakayama Univ.), Yutaro Kashiwa (NAIST) SS2022-60
Large software development projects have a large number of the source code change requests on a daily basis. Developers ... [more] SS2022-60
pp.79-84
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-02
09:40
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
Pruning for Producing Efficient DNNs: Neuron Selection and Reconstruction based on Final Layer Error
Koji Kamma, Toshikazu Wada (Wakayama Univ.) PRMU2022-66 IBISML2022-73
Deep Neural Networks (DNNs) are dominant in the field of machine learning. However, because DNN models have large comput... [more] PRMU2022-66 IBISML2022-73
pp.42-47
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-02
17:30
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
A Study on Data Augmentation by Pixel Value Transformation for Product Image Retrieval DNN
Yu Okamoto, Masaki Kishibe, Toshikazu Wada (Wakayama Univ.) PRMU2022-94 IBISML2022-101
We are developing a product image retrieval DNN for supporting shelving allocation tasks. To train the DNN, product imag... [more] PRMU2022-94 IBISML2022-101
pp.181-186
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-03
17:00
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
Continual learning combining Replay and Parameter Isolation Methods
Ryota Adachi, Toshikazu Wada (Wakayama Univ.) PRMU2022-121 IBISML2022-128
Deep Neural Networks (DNN) are used for various tasks such as image classification, but when a new task is trained on a ... [more] PRMU2022-121 IBISML2022-128
pp.335-340
IN, NS
(Joint)
2023-03-02
16:50
Okinawa Okinawa Convention Centre + Online
(Primary: On-site, Secondary: Online)
Hierarchical Piece Distribution Method for Cooperative Groups Formed within Wireless LANs in BitTorrent
Mikiya Senso, Akihiro Fujimoto (Wakayama Univ.), Hideki Tode (Osaka Metropolitan Univ.) NS2022-210
(To be available after the conference date) [more] NS2022-210
pp.245-250
SP, IPSJ-SLP, EA, SIP [detail] 2023-02-28
16:55
Okinawa
(Primary: On-site, Secondary: Online)
Vocal tract length estimation using fundamental frequency adaptive auditory representation
Toshio Irino, Shintaro Doan (Wakayama Univ.) EA2022-92 SIP2022-136 SP2022-56
Source-filter theory of speech sounds is a common knowledge in speech research. But as , as an inverse problem, segregat... [more] EA2022-92 SIP2022-136 SP2022-56
pp.95-100
LOIS, ICM 2023-01-19
15:25
Fukuoka Kitakyushu International Conference Center
(Primary: On-site, Secondary: Online)
Selective Application Method of Contents Design Patterns for Mobile Sites
Kanta Matsumoto, Naruki Mitsuda (Wakayama Univ.) ICM2022-36 LOIS2022-36
(To be available after the conference date) [more] ICM2022-36 LOIS2022-36
pp.31-35
LOIS, ICM 2023-01-19
16:25
Fukuoka Kitakyushu International Conference Center
(Primary: On-site, Secondary: Online)
Generalization of feature engineering suitable for data characteristics in machine learning
Yuichiro Sakazaki, Naruki Mitsuda (Wakayama Univ.) ICM2022-38 LOIS2022-38
 [more] ICM2022-38 LOIS2022-38
pp.42-47
SRW 2023-01-16
10:30
Tokyo Kikai-Shinko-Kaikan Bldg.
(Primary: On-site, Secondary: Online)
Performance Evaluation of Bluetooth LE Coded PHY under Periodic Burst Noise Environment
Masaki Akashi, Shinichi Miyamoto (Wakayama Univ.) SRW2022-35
To extend the communication range aiming for a wireless communication system applicable to IoT society, Bluetooth 5.0 in... [more] SRW2022-35
pp.1-6
SRW 2023-01-16
10:55
Tokyo Kikai-Shinko-Kaikan Bldg.
(Primary: On-site, Secondary: Online)
A Study on the Periodic NAV Notification to Adjacent Channels for WLAN System Using Virtual Dedicated Channel Scheme
Yusuke Hirano, Shinichi Miyamoto (Wakayama UNiv.) SRW2022-36
To establish a virtual dedicated channel for area owner's wireless local area network (WLAN) systems, a virtual dedicate... [more] SRW2022-36
pp.7-12
PRMU 2022-12-15
14:25
Toyama Toyama International Conference Center
(Primary: On-site, Secondary: Online)
A DNN compression method based on output error of activation functions
Koji Kamma, Toshikazu Wada (Wakayama Univ.) PRMU2022-38
Deep Neural Networks (DNNs) are dominant in the field of machine learning. However, because DNN models have large comput... [more] PRMU2022-38
pp.34-39
PRMU 2022-12-16
10:00
Toyama Toyama International Conference Center
(Primary: On-site, Secondary: Online)
Image Transformation Simulating the Height Change of Wide-angle Ceiling Camera for People Detection
Hayato Kitao, Toshikazu Wada (Wakayama Univ.) PRMU2022-43
In recent years, surveillance cameras have been widely installed inside the buildings. Especially, wide-angle ceiling ca... [more] PRMU2022-43
pp.57-62
PRMU 2022-12-16
14:10
Toyama Toyama International Conference Center
(Primary: On-site, Secondary: Online)
Sampling Strategies in Data Pruning
Ryota Higashi, Toshikazu Wada (Wakayama Univ.) PRMU2022-48
Data Pruning is a method of selecting the training data out of an entire training dataset so as to keep the accuracy aft... [more] PRMU2022-48
pp.85-90
PRMU 2022-09-14
15:45
Kanagawa
(Primary: On-site, Secondary: Online)
Human Pose Transfer with Reduced Color Transfer by Occlusion for Person Re-Identification
Masaki Kishibe, Toshikazu Wada (Wakayama Univ.) PRMU2022-15
Human pose transfer is the task that transforms a person image from the source pose to a given target pose, and is usefu... [more] PRMU2022-15
pp.31-36
PRMU 2022-09-14
16:00
Kanagawa
(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
pp.37-42
EA, ASJ-H, ASJ-MA, ASJ-SP 2022-07-07
16:50
Hokkaido   Extension of a signal safeguarding-based acoustic system measurement method -- Reducing requirement for signal-dependent and random response measurement --
Hideki Kawahara (Wakayama Univ.), Kohe Yatabe (Tokyo Univ. A.T.) EA2022-21
We propose an extension of a signal safeguarding-based acoustic measurement method that enables using any sounds, such a... [more] EA2022-21
pp.42-46
SP, IPSJ-MUS, IPSJ-SLP [detail] 2022-06-17
13:00
Online Online Issues emerged from implementation of GUIs for WORLD vocoder
Hideki Kawahara (Wakayama Univ.), Masanori Morise (Meiji Umiv.) SP2022-2
 [more] SP2022-2
pp.3-6
SP, IPSJ-MUS, IPSJ-SLP [detail] 2022-06-18
13:00
Online Online Speech intelligibility prediction of simulated hearing loss sounds using the Gammachirp Envelope Similarity Index (GESI) -- Subjective data from laboratory and crowdsourced remote experiments --
Toshio Irino, Honoka Tamaru, Ayako Yamamoto (Wakayama Univ.) SP2022-17
We aim at developing an objective intelligibility measure (OIM) to predict speech intelligibility (SI) for individual el... [more] SP2022-17
pp.71-76
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