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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 268  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
ICM 2020-07-17
13:50
Iwate MALIOS Development of VDI Quality Analysis System -- Anomaly Detection of Service Quality and Cause Analysis --
Shinji Yamashita, Hitoshi Ueno (Fujitsu Lab.), Takuya Nitta (Fujitsu), Hiroshi Tomonaga, Masato Okuda (Fujitsu Lab.)
 [more]
MSS, CAS, SIP, VLD 2020-06-18
15:00
Online Online Meetig [Panel Discussion] The role of System and Signal Processing Subsociety -- Pros & Cons of Online Video Meeting --
Shogo Muramatsu (Niigata Univ.), Shigemasa Takai (Osaka Univ.), Yasuhiro Takashima (Univ. of Kitakyushu), Kasunori Hayashi (Kyoto Univ.), Daisuke Fukuda (Fujitsu Lab.)
(To be available after the conference date) [more]
MI, IE, SIP, BioX, ITE-IST, ITE-ME [detail] 2020-05-29
14:30
Online 会議ツールは未定 A method for analyze causes of deterioration of predict quality when Deep Learning is applied to instance segmentation
Tomonori Kubota, Takanori Nakao, Masafumi Katoh, Eiji Yoshida, Hidenobu Miyoshi (Fujitsu Lab.) SIP2020-14 BioX2020-14 IE2020-14 MI2020-14
In this paper, we propose a method to analyze the cause of deterioration of prediction accuracy in instance segmentation... [more] SIP2020-14 BioX2020-14 IE2020-14 MI2020-14
pp.67-72
ICM, IPSJ-CSEC, IPSJ-IOT 2020-05-15
14:55
Misc.   Full-stack Visualization of IaaS Configuration for Failure Impact Analysis
Masahiro Asaoka, Reiko Kondo, Kazuhiro Suzuki, Yukihiro Watanabe (Fujitsu Lab.) ICM2020-6
Recently, it has become common to use cloud service, especially Infrastructure as a Service (IaaS). IaaS providers are o... [more] ICM2020-6
pp.31-36
ISEC, IT, WBS 2020-03-11
09:55
Hyogo University of Hyogo Toward Differential Characteristic Search of AES by Annealing
Haruka Hirano, Shugo Kakimoto, Kazuki Yoneyama (Ibaraki Univ.), Junpei Yamaguchi (Fujitsu Lab.) IT2019-109 ISEC2019-105 WBS2019-58
At Inscypt 2011, Mouha et al. firstly proposed an application of mixed-integer linear programming (MILP) to cryptanalysi... [more] IT2019-109 ISEC2019-105 WBS2019-58
pp.127-133
IE, IMQ, MVE, CQ
(Joint) [detail]
2020-03-06
14:50
Fukuoka Kyushu Institute of Technology A high-compression video coding method for video analysis using Deep Learning
Tomonori Kubota, Takanori Nakao, Eiji Yoshida (Fujitsu Lab.) IMQ2019-39 IE2019-121 MVE2019-60
In this paper, we propose a high-compression video coding method for video analysis using Deep Learning. The method anal... [more] IMQ2019-39 IE2019-121 MVE2019-60
pp.121-126
NS, IN
(Joint)
2020-03-06
11:20
Okinawa Royal Hotel Okinawa Zanpa-Misaki A Study of Automatic Network Designs and Configurations based on User's Intents -- Intent-based Logical Network Designs --
Takamichi Nishijima, Yutaka Takita, Masashi Hayano, Kenji Hikichi, Toshio Soumiya (FUJITSU LAB.) NS2019-227
To realize rapid network integrations, intent-based networking (IBN), which automatically constructs a network satisfyin... [more] NS2019-227
pp.277-282
BioX, CNR 2020-03-05
13:50
Tokyo   A study of face feature clustering using variational autoencoder
Hidetsugu Uchida, Narishige Abe, Shigefumi Yamada (Fujitsu Lab.) BioX2019-72 CNR2019-55
 [more] BioX2019-72 CNR2019-55
pp.59-64
ICM 2020-03-03
14:50
Okinawa Ohama Nobumoto Memorial Hall [Encouragement Talk] Enhancement of Q&A Recommendation System for Network Support Center by Machine Learning
Yuji Kojima (FUJITSU), Shinji Yamashita (FUJITSU LAB.), Kodo Ran, Yasuhiko Aoki (FUJITSU), Hiroyuki Uehara (FNETS), Manabu Wakao, Masao Hayashi (FUJITSU) ICM2019-61
In case of failure in network equipment, operators in network support center analyze the root cause and answer to the us... [more] ICM2019-61
pp.111-116
CPSY, DC, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC [detail] 2020-02-27
15:45
Kagoshima Yoron-cho Chuou-Kouminkan A Study of High-Performance and Low-Cost Erasure Coding Method for Tape Archive System
Shun Gokita, Masahisa Tamura, Yasuo Noguchi (Fujitsu Lab.) CPSY2019-101 DC2019-107
In recent years, the amount of data generated around the world has been increasing. By storing and analyzing such large ... [more] CPSY2019-101 DC2019-107
pp.81-86
AI 2019-11-28
13:05
Fukuoka   A proposal of a method for analyzing causes of incorrect detection when detecting objects using Deep Learning
Tomonori Kubota, Takanori Nakao, Eiji Yoshida (Fujitsu Lab.) AI2019-30
In this paper, we propose a method for analyzing the causes of incorrect detection / poor accuracy when detecting object... [more] AI2019-30
pp.1-6
MW 2019-11-15
11:00
Okinawa Minami Daido Villa. Tamokuteki Koryu Center Report on 2019 IEEE MTT-S International Microwave Symposium
Msaru Sato (Fujitsu Lab.), Takashi Shimizu (Utsunomiya Univ.), Yusuke Uemichi (Fujikura), Hiroyuki Aoyama (Mitsubishi Electoric), Tetsuya Ueda (KIT), Yuji Komatsuzaki (Mitsubishi Electoric), Hiroshi Hamada (NTT), Kyoya Takano (TUS), Hiroshi Okazaki (NTT DOCOMO) MW2019-114
This is a report on 2019 IEEE MTT-S International Symposium held at Boston, MA, USA, June 2-7, 2019. It contains an over... [more] MW2019-114
pp.81-86
SRW, SeMI, CNR
(Joint)
2019-11-05
14:10
Tokyo Kozo Keisaku Engineering Inc. [Invited Lecture] Initiatives for display anywhere
Yoshihiko Murakawa (Fujitsu Lab./KIT)
 [more]
PRMU 2019-10-19
10:45
Tokyo   Localization of Diffuse Lung Deseases' Lesions and Quantification of Their Volumes Using Deep Learning
Hiroaki Takebe, Yasutaka Moriwaki, Nobuhiro Miyazaki, Takayuki Baba (FUJITSU LAB.), Hiroaki Terada, Toru Higaki, Kazuo Awai (Hiroshima Univ.), Hirotaka Kobayashi, Machiko Nakagawa, Masahiko Shimada, Kenji Kitayama (FUJITSU) PRMU2019-44
Changes in the amount of lesion over time are important information for diagnostic imaging of diffuse lung disease in wh... [more] PRMU2019-44
pp.67-72
BioX 2019-10-03
13:30
Okinawa   Efforts to propose biometric accuracy evaluation method using a small number of samples
Shigefumi Yamada (FUJITSU LAB.) BioX2019-54
 [more] BioX2019-54
pp.1-3
RECONF 2019-09-19
15:40
Fukuoka KITAKYUSHU Convention Center Implementation of OpenCL-Based FPGA Accelerator for Polynomial Regression
Kentaro Katayama (FUJITSU LAB.) RECONF2019-25
 [more] RECONF2019-25
pp.25-30
PRMU, MI, IPSJ-CVIM [detail] 2019-09-05
13:40
Okayama   A method for visualizing the cause of misrecognition in object recognition using CNN
Tomonori Kubota (Fujitsu Lab.), Yasuyuki Murata (FST), Yoshifumi Uehara, Akira Nakagawa (Fujitsu Lab.) PRMU2019-25 MI2019-44
In this paper, we propose a method for visualizing the cause of misrecognition in object recognition using CNN. By this ... [more] PRMU2019-25 MI2019-44
pp.99-104
ICM 2019-07-12
09:50
Hokkaido   Development of Q&A Recommendation System for Network Support Center by Machine Learning
Shinji Yamashita (Fujitsu Lab.), Yuji Kojima, Yasuhiko Aoki (Fujitsu), Hiroyuki Uehara (Fujitsu Network Solutions), Manabu Wakao, Masao Hayashi (Fujitsu) ICM2019-17
In case of failure in network equipment, operators in network support center analyze the root cause and answer to the us... [more] ICM2019-17
pp.65-70
PRMU, BioX 2019-03-17
13:00
Tokyo   Report of the 22nd PRMU Algorithm Contest -- Constructing a Cloned Model of Pattern Recognizers --
Kazuaki Nakamura (Osaka Univ.), Tomo Miyazaki (Tohoku Univ.), Daisuke Ishii (Fujitsu Lab.), Shuichi Akizuki (Keio Univ.), Yoshihiko Mochizuki (Waseda Univ.) BioX2018-37 PRMU2018-141
 [more] BioX2018-37 PRMU2018-141
pp.49-57
CPSY, DC, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC [detail] 2019-03-17
17:05
Kagoshima Nishinoomote City Hall (Tanega-shima) An Update-Range-Aware Source Deduplication Method with Low-Resource and High-Efficiency for Geo-Distributed Data Analysis
Shun Gokita, Kento Ikkaku, Makoto Kubota, Noriyuki Fukuyama (Fujitsu Lab.) CPSY2018-108 DC2018-90
In recent years, business efficiency and service quality improvement are expected by analyzing and utilizing the large a... [more] CPSY2018-108 DC2018-90
pp.181-186
 Results 1 - 20 of 268  /  [Next]  
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