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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 580  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
LOIS, IPSJ-DC 2021-07-15
13:00
Online Online A Study of Values Extraction in an Open Community for the Purpose of Grasping Social Trends
Keita Suzuki, Shigeru Fujimura, Shigenori Ohashi, Atsushi Nakadaira (NTT)
(To be available after the conference date) [more]
KBSE, IPSJ-SE, SS [detail] 2021-07-08
15:40
Online Virtual (Zoom) A Study of the Fruit Sorting System Using YOLO Object Detection
Hiroyuki Akai, Mengchun Xie, Mitsutoshi Murata, Nobuo Iwasaki, Toru Mori (NIT, Wakayama College)
(To be available after the conference date) [more]
SIP, CAS, VLD, MSS 2021-07-06
10:25
Online Online A Method of Layout Pattern Classification with Creating Representative Clip
Tomoya Masutani, Shuhei Ishino, Kunihiro Fujiyoshi (TUAT)
(To be available after the conference date) [more]
SIS, IPSJ-AVM 2021-06-24
13:25
Online Online A Study of Ensemble Learning for Randomly Weighted Neural Network
Yasuyuki Okoshi, Kazutoshi Hirose, Kota Ando, Kazushi Kawamura, Thiem Van Chu, Masato Motomura, Jaehoon Yu (Tokyo Tech) SIS2021-7
Recent research on deep learning shows the possibility of building neural networks by learning connection existences ins... [more] SIS2021-7
pp.37-42
SR 2021-05-21
10:00
Online Online An evaluation of CNN using Deep Residual Learning for OFDM and Single Carrier Modulation Classification
Teruji Ide (NIT, Kagoshima College), Rozeha A Rashid, Leon Chin, M A Sarijari, Rubita Sudirman (UTM) SR2021-9
In this study, we investigate and present a deep residual learning for modulation classification. The simulation results... [more] SR2021-9
pp.57-64
PRMU, IPSJ-CVIM, IPSJ-NL 2021-05-21
10:15
Online Online PRMU2021-4 In recent years, multi-task learning and multi-domain learning have been developed to improve the accuracy for each task... [more] PRMU2021-4
pp.19-24
PRMU, IPSJ-CVIM, IPSJ-NL 2021-05-21
10:30
Online Online A Study on Domain Adaptation for Video Action Classification Utilizing Synthetic Data.
Hana Isoi (Ochanomizu Univ.), Atsuko Takefusa (NII), Hidemoto Nakada (AIST), Masato Oguchi (Ochanomizu Univ.) PRMU2021-5
The lack of learning data is considered as one of the reasons why the classification accuracies of deep neural networks ... [more] PRMU2021-5
pp.25-30
NS 2021-05-14
10:55
Online Online Spectrum Defragmentation based on Path Classification in Optical Network
Hanami Yokoi, Kohjun Koshiji, Yasuharu Kaneko, Tatsuya Matsukawa, Mika Ishizuka, Takafumi Hamano (NTT) NS2021-23
In recent years, with the increase in the speed and capacity of optical transmission networks, it is necessary to operat... [more] NS2021-23
pp.50-55
PN 2021-04-26
13:05
Online Online [Invited Talk] Implementing Machine Learning In Silicon Photonic Circuits -- Single-chip photonic classifier based on silicon photonic circuits --
Guangwei Cong, Noritsugu Yamamoto, Takashi Inoue, Yuriko Maegami, Morifumi Ohno (AIST), Shota Kita (NTT), Shu Namiki, Koji Yamada (AIST) PN2021-1
Recently, growing effort has been spent on developing new hardware architectures for building high energy-efficiency and... [more] PN2021-1
pp.1-5
ICM 2021-03-19
10:50
Online Online [Encouragement Talk] Utility of Training Data in Sequential Accumulation Learning-Based Anomaly Detection
Natsuki Fukazawa, Naoki Yoshida, Shingo Ata, Ikuo Oka (Osaka City Univ.) ICM2020-69
In Network-based Intrusion Detection Systems (NIDS) using supervised learning, one of important challengings is how to c... [more] ICM2020-69
pp.52-57
MI 2021-03-16
09:15
Online Online Tuberculosis in Chest CT Image Analysis based on multi-axis projections using Deep learning
Tetsuya Asakawa, Masaki Aono (Toyohashi Univ) MI2020-64
The purpose of this research is to make accurate estimates for the six labels (Left affected, Right affected, Light ple... [more] MI2020-64
pp.74-79
MI 2021-03-17
09:45
Online Online Improvement of deep learning based dementia classification using brain SPECT volumes
Mitsuru Yambe, Atsushi Saito (TUAT), Makoto Fukasawa, Tomomichi Iizuka (Fukujuji Hospital), Akinobu Shimizu (TUAT) MI2020-86
In this study, we propose a deep network to classify 3D cerebral blood flow SPECT volumes into four types: three types o... [more] MI2020-86
pp.164-165
WIT, IPSJ-AAC 2021-03-06
14:40
Online Online A Study on Sign Language Recognition Using Deep Learning -- Word recognition from sign language sentences --
Isogai Hikaru, Kimura Tsutomu (NIT, Toyota College), Kanda Kazuyuki (National Museum of Ethnology) WIT2020-38
In this study, we developed a machine leaning-based sign language recognition system that can recognize each word in a s... [more] WIT2020-38
pp.47-52
WBS, IT, ISEC 2021-03-05
14:45
Online Online Analysis of Optimal Error Exponents on Classification for Markov Sources
Hiroto Kuramata, Hideki Yagi, Tsutomu Kawabata (UEC) IT2020-152 ISEC2020-82 WBS2020-71
We consider a classification problem for a test sequence to determine from which source the sequence generates. The syst... [more] IT2020-152 ISEC2020-82 WBS2020-71
pp.245-250
RCS, SR, SRW
(Joint)
2021-03-05
16:55
Online Online Electromagnetic Noise Classification and Novelty Detection for Frequency Sharing among Various Communications in the Manufacturing Field
Michio Miyamoto, Ayano Ohnishi, Yoshio Takeuchi (ATR), Toshiyuki Maeyama (ATR/Takushoku Univ.), Akio Hasegawa, Hiroyuki Yokoyama (ATR) SR2020-89
Machine learning is applied to classify the electromagnetic noise generated in the manufacturing field. The frequency an... [more] SR2020-89
pp.99-103
NC, MBE
(Joint)
2021-03-03
16:25
Online Online Realization of Global Search and Local Search in Particle Multi-Swarm Optimization
Hiroshi Sho (Kyutech) NC2020-53
For improving search performance and accuracy of pattern classification, this paper proposes a mixed search method of gl... [more] NC2020-53
pp.59-64
EA, US, SP, SIP, IPSJ-SLP [detail] 2021-03-04
09:00
Online Online Anomalous Sound Detection Using a Binary Classification Model Considering Class Centroids
Ibuki Kuroyanagi, Tomiki Hayashi, Kazuya Takeda, Tomoki Toda (Nagoya Univ) EA2020-79 SIP2020-110 SP2020-44
In an anomalous sound detection system, it is necessary to detect unknown anomalous sounds using only normal sound data.... [more] EA2020-79 SIP2020-110 SP2020-44
pp.114-121
NC, MBE
(Joint)
2021-03-05
09:55
Online Online Aspect classification by using complex-valued reservoir computing
Bungo Konishi, Akira Hirose, Ryo Natsuaki (UT) NC2020-65
Synthetic aperture radar (SAR) is widely used for ground surface classification because of their information on vegetati... [more] NC2020-65
pp.127-132
ICSS, IPSJ-SPT 2021-03-02
11:05
Online Online Accuracy evaluation of CNNs and random forests with Malware API call sequences
Shugo Asai, Futa Yuichi (TUT) ICSS2020-58
In this paper, we compare the accuracy of the results of classifying each malware family by Random Forest and CNN using ... [more] ICSS2020-58
pp.190-194
SeMI, IPSJ-MBL, IPSJ-UBI [detail] 2021-03-01
10:50
Online Online SeMI2020-60 When gas and liquid are flowing simultaneously inside a transport conduit, their spatial distribution is referred to as ... [more] SeMI2020-60
pp.13-18
 Results 1 - 20 of 580  /  [Next]  
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