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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 53  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, MBE
(Joint)
2024-03-12
14:45
Tokyo The Univ. of Tokyo
(Primary: On-site, Secondary: Online)
Visualization of the learning process of ResNet revealing its learning dynamics
Ryodo Yuge, Takashi Shinozaki (Kindai Univ.) NC2023-59
We visualize the impact of skip connections, a key element in residual networks (ResNet), and visualize its impact on th... [more] NC2023-59
p.94
NS, IN
(Joint)
2024-03-01
09:45
Okinawa Okinawa Convention Center A Hop Count Reduction Method Using Helper Nodes in RangeKey Skip Graphs Robust to Data Changes
Motoki Kurita, Akihiro Fujimoto (Wakayama Univ.), Hideki Tode (Osaka Metropolitan Univ.) NS2023-215
With the increase of IoT devices, P2P-based IoT platforms have been attracting attention because of their capabilities o... [more] NS2023-215
pp.253-257
SS, DC 2023-10-11
16:25
Nagano
(Primary: On-site, Secondary: Online)
Shortening Block Approval Intervals with Skip Graph Using VRNT in Blockchain
Nobuho Inamura, Masato Kitakami (Chiba Univ.) SS2023-25 DC2023-31
The interval at which bitcoin payments are approved is intentionally adjusted to be once every 10 minutes. While it is t... [more] SS2023-25 DC2023-31
pp.22-26
ICTSSL, CAS 2023-01-26
11:15
Tokyo TBD
(Primary: On-site, Secondary: Online)
On Image Recognition Neural Networks and Polynomial Approximation of Images
Jiahang Chang, Kazuya Ozawa, Hideaki Okazaki (SIT) CAS2022-66 ICTSSL2022-30
In this report, we present a convolutional neural network that we have built ourselves for our research. Then, we discus... [more] CAS2022-66 ICTSSL2022-30
pp.23-27
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
AP 2022-06-16
13:00
Tokyo Kikai-Shinko-Kaikan Bldg.
(Primary: On-site, Secondary: Online)
The Birth of D-Region -- Necessity of Error Correction --
Kumon Tokumaru (Researcher) AP2022-29
The fading and skip phenomena of middle wave radio broadcasting are explained as the D region of ionosphere exists only ... [more] AP2022-29
pp.1-6
NS, IN
(Joint)
2022-03-11
15:10
Online Online A Study on Hop Count Reduction of Skip Graph with Arbitrary Number of Layers
Yuuki Fujita, Akihiro Fujimoto (Wakayama Univ.), Hideki Tode (Osaka Pref Univ.) NS2021-159
With the increase of IoT devices, P2P-based IoT platforms have been attracting attention because of their capabilities o... [more] NS2021-159
pp.218-223
IN, NS
(Joint)
2021-03-05
14:50
Online Online A proposal of admission control method considering requested bandwidth affected by seek-bar operation
Keisuke Ode, Sumiko Miyata (SIT) IN2020-94
In recent years, the available network bandwidth is decreased by increasing the mobile devices such as a smartphone or t... [more] IN2020-94
pp.238-243
IA 2021-01-29
14:25
Online Online A Routing Method for Range Queries Utilizing Detour Routes on Skip Graph
Yuya Miki, Takeshi Kaneko (Tokyo Tech), Ryohei Banno (Tokyo Tech/Kogakuin Univ.), Kazuyuki Shudo (Tokyo Tech) IA2020-33
A structured overlay is a technique to construct an autonomous decentralized network of nodes and to achieve efficient r... [more] IA2020-33
pp.15-20
NLC 2020-09-10
15:00
Online Online Evaluation of Capabilities on Information Retrieval toward Space Systems Discrepancy Reports
Naoko Okubo, Kohsuke Namihira, Yasushi Ueda (JAXA), Kai Yu, Shintaro Kawamura, Shoichi Naito, Katsumi Kanasaki (RICOH), Masafumi Katahira (JAXA) NLC2020-7
The Japan Aerospace Exploration Agency (JAXA) is working on to the information retrieval from the discrepancy reports f... [more] NLC2020-7
pp.28-33
NS 2020-05-14
15:10
Online Online A Query Transfer Method in Cooperation with Different Two Skip Graphs Suitable for Searching Spatially-Autocorrelated Data
Yuuki Fujita, Akihiro Fujimoto (Wakayama Univ.), Hideki Tode (Osaka Prefecture Univ.) NS2020-9
With the increase of IoT devices, P2P-based IoT platforms have been attracting attention because of their capabilities o... [more] NS2020-9
pp.1-6
NS, IN
(Joint)
2020-03-06
14:50
Okinawa Royal Hotel Okinawa Zanpa-Misaki
(Cancelled but technical report was issued)
Two types of flows admission control method for maximizing all user satisfaction considering seek-bar operation
Keisuke Ode, Sumiko Miyata (SIT) IN2019-145
In recent years, the available network bandwidth is decreasedby increasing the mobile devices such as a smartphone or ta... [more] IN2019-145
pp.399-404
MVE 2019-08-29
15:50
Aichi   A Proposal of Facial Expression Recognition Method from Video Using Enhanced ConvLSTM
Ryo Miyoshi (Chukyo Univ.), Noriko Nagata (Kwansei Gakuin Univ.), Manabu Hashimoto (Chukyo Univ.) MVE2019-12
We propose an enhanced convolutional long short-term memory (ConvLSTM) algorithm, i.e., Enhanced ConvLSTM, by adding ski... [more] MVE2019-12
pp.37-42
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] 2019-06-18
13:55
Okinawa Okinawa Institute of Science and Technology Additive or Concatenating Skip-connections Overcome the Degradation Problem of the Classic Feedforward Neural Network
Yasutaka Furusho, Kazushi Ikeda (NAIST) NC2019-17 IBISML2019-15
The classic feedforward neural networks like the multilayer perceptron (MLP) degrades its empirical risk by training eve... [more] NC2019-17 IBISML2019-15
pp.75-80(NC), pp.97-102(IBISML)
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] 2019-06-18
14:20
Okinawa Okinawa Institute of Science and Technology ResNet and Batch-normalization Improve Data Separation Ability
Yasutaka Furusho, Kazushi Ikeda (NAIST) NC2019-18 IBISML2019-16
The skip-connection and the batch-normalization (BN) in ResNet enable an extreme deep neural network to be trained with ... [more] NC2019-18 IBISML2019-16
pp.81-86(NC), pp.103-108(IBISML)
IA, SITE, IPSJ-IOT [detail] 2019-03-08
15:00
Tokushima Grand XIV Naruto Detouring Skip Graph: A Structured Overlay Utilizing Detour Routes
Takeshi Kaneko, Ryohei Banno, Yusuke Aoki, Kazuyuki Shudo (Tokyo Tech) SITE2018-86 IA2018-78
Skip Graph, one of the structured overlays, constructs its own structure based on membership vectors assigned to every n... [more] SITE2018-86 IA2018-78
pp.343-350
IBISML 2019-03-05
14:00
Tokyo RIKEN AIP Expressive power of skip connection and network architecture
Jumpei Nagase, Tetsuya Ishiwata (Shibaura Inst. of Tech.) IBISML2018-106
Model design is one of research topics in deep learning. Proposing a better model has been extensively studied, but ther... [more] IBISML2018-106
pp.9-15
HWS, VLD 2019-03-01
13:55
Okinawa Okinawa Ken Seinen Kaikan Embedded Systems Designs Using Approximate Computing for Data Clustering Acceleartion
Shun Kimijima, Fransiscus Marcel Satria, Yuko Hara-Azumi (Tokyo Tech.) VLD2018-129 HWS2018-92
(To be available after the conference date) [more] VLD2018-129 HWS2018-92
pp.217-222
HWS, ICD 2018-10-29
16:25
Osaka Kobe Univ. Umeda Intelligent Laboratory Impact of Instruction Replacing Laser Fault Attack on Implementation of Pairing Computation on ARM Processor
Junichi Sakamoto, Tsutomu Matsumoto (YNU) HWS2018-54 ICD2018-46
Many studies on fault attack against many software were performed under the assumption that an attacker could skip an in... [more] HWS2018-54 ICD2018-46
pp.41-46
IA 2018-09-04
14:40
Hokkaido Hokkaido Univ. Conference Hall Reducing Average Path Lengths of Range Queries on Skip Graphs
Ryohei Banno, Kazuyuki Shudo (Tokyo Tech) IA2018-27
Structured overlay networks are useful techniques to enable a large number of nodes to discover each other in an autonom... [more] IA2018-27
pp.69-76
 Results 1 - 20 of 53  /  [Next]  
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