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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI, IE, SIP, BioX, ITE-IST, ITE-ME [detail] | 2020-05-29 14:30 |
Online | Online | 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 |
| NS | 2020-04-16 - 2020-04-17 |
Online | Online | Views about Context Networking (5) Masafumi Katoh, Tomonori Kubota, Eiji Yoshida, Katsuhito Asano (FLAB), Yuji Kojima, Yuuichi Yamagishi (Fujitsu) NS2020-1 |
We have aimed to change and move an object person by displaying valuable data while understanding the static profile and... [more] | NS2020-1 pp.1-6 |
| IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-06 14:50 |
Fukuoka | Kyushu Institute of Technology (Cancelled but technical report was issued) |
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 |
| IE, CS, IPSJ-AVM, ITE-BCT [detail] | 2019-12-05 13:55 |
Iwate | Aiina Center | An Circular Road Signs Extraction Method for Accelerating Object Detection System Fang Yin, Kentaro Katayama, Eiji Yoshida (Fujitsu Lab) CS2019-77 IE2019-57 |
Cyber-physical system (CPS) becomes realistic with the development of sensing technology and pattern recognition technol... [more] | CS2019-77 IE2019-57 pp.41-46 |
| 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 |
|
| CPSY, DC, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC [detail] | 2017-03-09 15:50 |
Okinawa | Kumejima Island | Near-data processing for genome analysis using software-controlled SSD Kuwamura, Shinya, Kazama, Satoshi, Yoshida, Eiji, Ogawa, Junji, Miyoshi, Takashi, Noguchi, Yasuo (Fujitsu Labs.) CPSY2016-139 DC2016-85 |
Recently, a sort of near-data processing is a hot topic, in order to reduce data transfer cost and get higher system per... [more] | CPSY2016-139 DC2016-85 pp.45-50 |
| VLD, CPSY, RECONF, IPSJ-SLDM, IPSJ-ARC [detail] | 2016-01-21 11:20 |
Kanagawa | Hiyoshi Campus, Keio University | An Architectural Optimization for Software Defined SSD using Full System Simulator Shun Gokita, Satoshi Kazama, Seiki Shibata, Shinya Kuwamura, Eiji Yoshida, Junji Ogawa (FLL) VLD2015-103 CPSY2015-135 RECONF2015-85 |
In recent years, a kind of software-defined SSD which has a Flash control layer (FTL) in software teared out of hardware... [more] | VLD2015-103 CPSY2015-135 RECONF2015-85 pp.197-202 |
| CPSY, IPSJ-ARC | 2015-10-08 10:00 |
Chiba | Makuhari-messe | [Poster Presentation]
Dedicated Design for High Performance Software Defined SSD Satoshi Kazama, Seiki Shibata, Shun Gokita, Shinya Kuwamura, Eiji Yoshida, Junji Ogawa (Fujitsu Lab.) CPSY2015-53 |
[more] | CPSY2015-53 p.45 |
| ICD, SDM | 2012-08-02 10:35 |
Hokkaido | Sapporo Center for Gender Equality, Sapporo, Hokkaido | [Invited Lecture]
Comparison between power gating and DVFS from the view point of energy efficiency Atsuki Inoue, Eiji Yoshida (Fujitsu Lab. Ltd.) SDM2012-66 ICD2012-34 |
[more] | SDM2012-66 ICD2012-34 pp.17-21 |
| IEE-CMN, ITE-ME, CQ, LOIS, IE | 2008-09-25 16:00 |
Kagawa | General Trainning Center at Shikoku Electric Power Co.,inc | Shape similarrity retrieval method based on centroid and modified shape context Eiji Yoshida, Seiichi Mita (TTI) CQ2008-35 OIS2008-38 IE2008-60 |
[more] | CQ2008-35 OIS2008-38 IE2008-60 pp.51-56 |
| PRMU, HIP | 2007-09-04 09:00 |
Aichi | Nagoya Univ. | Invariant codes for similar transformations and its application to Shape Matching Eiji Yoshida, Seiichi Mita (TTI) PRMU2007-73 HIP2007-82 |
[more] | PRMU2007-73 HIP2007-82 pp.161-166 |
| NC | 2007-07-25 11:00 |
Kyoto | Kyoto Univ. | Some properties of Quaternion Neural Network Eiji Yoshida, Seiichi Mita (TTI) NC2007-32 |
In this paper, we deal with a comparison of the quaternion neural network and the real neural network. In particular, ... [more] |
NC2007-32 pp.29-34 |
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