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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SWIM, SC | 2018-08-24 16:10 |
Tokyo | Housei Univ. | A Preliminary Study for Quantitative Assessment of Life Rhythm based on Sleeping and Dining Log Data Long Niu, Sachio Saiki, Masahide Nakamura (Kobe Univ.)  SWIM2018-15 SC2018-22 |
According to numerous research, life rhythms disturbance leads to inefficient work or even causes some chronic disease. ... [more] | SWIM2018-15 SC2018-22 pp.45-50 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2018-06-13 10:25 |
Okinawa | Okinawa Institute of Science and Technology | Feature scaling in spectral classification of high dimensional data Momo Matsuda, Keiichi Morikuni, Akira Imakura, Tetsuya Sakurai (Univ. Tsukuba) IBISML2018-2 |
We consider the classification problem for high dimensional data. Using prior knowledge on the labels of partial samples... [more] | IBISML2018-2 pp.9-14 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2018-06-13 10:50 |
Okinawa | Okinawa Institute of Science and Technology | Post Clustering Inference, with Application to Single Cell Analysis Shigenori Inoue, Yuta Umezu (NIT), Shouma Tsubota (Nagoya Univ.), Ichiro Takeuchi (NIT/RIKEN/NIMS) IBISML2018-3 |
There are many data with several subgroups, such as customer data and gene expression data and so on. One way to analyze... [more] | IBISML2018-3 pp.15-22 |
| SIS, IPSJ-AVM, ITE-3DMT [detail] | 2018-06-08 11:30 |
Hokkaido | Jozankei View Hotel | Web video search reranking via graph-based soft clustering using heterogeneous metadata integration Soh Yoshida, Mitsuji Muneyasu (Kansai Univ.) SIS2018-8 |
This paper addresses the problem of analyzing a heterogeneous graph for extracting topics including videos in a dataset ... [more] | SIS2018-8 pp.69-74 |
| ET | 2018-05-19 11:20 |
Kanagawa | National Institute of Special Needs Education | Sharing the results of a Moodle course material clickstream analysis and examining its effect on students Konomu Dobashi (Aichi Univ.) ET2018-5 |
A face-to-face blended-type lesson was previously carried out using Moodle in PC classes attended by a large number of s... [more] | ET2018-5 pp.23-28 |
| KBSE | 2018-03-02 11:10 |
Okinawa | Identification of Aggregation Roots and Providing Monotonous Views by Applying Existence Dependency Analysis to the Business Fulfilments Akio Ida, Shigeo Kaneda, Yusuke Morimoto, Liu Xiangtao (Doshisha Unic.) KBSE2017-56 |
Many of the conventional methods combine the attributes of entities in an ad hoc manner to acquire View. In some cases, ... [more] | KBSE2017-56 pp.103-108 |
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| PRMU, MVE, IPSJ-CVIM [detail] | 2018-01-18 09:30 |
Osaka | Trajectory semantic segmentation based on behavior models Daisuke Ogawa, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda (Hiroshima Univ.) PRMU2017-112 MVE2017-33 |
In many cases, such as trajectories clustering and classification, we often divide a trajectory into segments as preproc... [more] | PRMU2017-112 MVE2017-33 pp.1-7 |
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| MoNA | 2017-12-21 14:40 |
Tokyo | Ochanomizu University | A Study of Decentralization for Data Mining System Implemented with Fully Homomorphic Encryption Yuri Yamamoto, Masato Oguchi (Ochanomizu Univ.) MoNA2017-37 |
For promoting utilization of big data, outsourcing systems have been proposed in which transaction data such as purchase... [more] | MoNA2017-37 pp.49-53 |
| IMQ | 2017-12-15 13:55 |
Shizuoka | Shizuoka University, Hamamatsu Campus | A Study of Diagnostic Imaging System for Coded Defect Detection of Certain Viewpoints on Multi-view 3D CG Images Norifumi Kawabata (Chiba Univ.) IMQ2017-21 |
At present, in the engineering fields, the medical application for multi-view 3D images and 8K UHDTV images is advanced ... [more] | IMQ2017-21 pp.7-12 |
| CAS, MSS, IPSJ-AL [detail] | 2017-11-17 11:15 |
Tokyo | [Invited Talk]
Open Data of Air Traffic and its Application Megumi Oka, Yutaka Fukuda (ENRI) CAS2017-53 MSS2017-37 |
The Ministry of Land, Infrastructure and Transport of Japan has formulated a long-term vision for future air traffic sys... [more] | CAS2017-53 MSS2017-37 pp.95-100 |
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| KBSE | 2017-11-10 15:45 |
Shizuoka | Estimation of business rules using Associations analysis Takuya Saruwatari, Akio Jin, Masayuki Inoue, Teruko Miyata, Daisuke Hamuro (NTT), Noriaki Izumi (AIST) KBSE2017-27 |
Recently, IT system renewal projects are increased along with aging of IT systems. In such a project, it is necessary to... [more] | KBSE2017-27 pp.7-12 |
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| VLD, DC, CPSY, RECONF, CPM, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC (Joint) [detail] |
2017-11-06 14:55 |
Kumamoto | Kumamoto-Kenminkouryukan Parea | An Approach to Selection of Classifiers and their Thresholds for Machine Learning Based Fail Chip Prediction Daichi Yuruki, Satoshi Ohtake (Oita Univ), Yoshiyuki Nakamura (Renesas Electronics) VLD2017-36 DC2017-42 |
Today, semiconductor technologies have developed and advance the integration density of LSI circuits. A technique which... [more] |
VLD2017-36 DC2017-42 pp.55-60 |
| SDM | 2017-10-26 09:30 |
Miyagi | Niche, Tohoku Univ. | [Invited Talk]
Utilization of Big Data for Innovation in Semiconductor Memory Manufacturing
-- Comprehensive Big-Data-Based Monitoring System for Yield Analysis in Semiconductor Manufacturing -- Hiroshi Akahori (Toshiba Memory), Kouta Nakata, Ryohei Orihara, Yoshiaki Mizuoka, Kentaro Takagi (Toshiba), Kenichi Kadota, Takaharu Nishimura, Yukako Tanaka, Hidetaka Eguchi (Toshiba Memory) SDM2017-55 |
In this work, we focus on yield analysis task where engineers identify the cause of failure from wafer failure map patte... [more] | SDM2017-55 pp.31-33 |
| BioX | 2017-10-13 09:00 |
Okinawa | Nobumoto Ohama Memorial Hall | A Study of Parameter Estimation of False Accept Rate for Biometric Performance Evaluation Shigefumi Yamada, Takahiro Aoki, Takashi Shinzaki (FUJITSU LABS.) BioX2017-31 |
Evaluations of biometric performance are performed by using biometric dataset actually collected from subjects being tes... [more] | BioX2017-31 pp.33-37 |
| KBSE | 2017-09-19 12:35 |
Tokyo | Doshisha Univ. Tokyo Branch Office | A load balancing mechanism using shared state for tree processing in actor model Kouhei Sakurai (Kanazawa Univ.) KBSE2017-21 |
For machine learning and data mining, there are methods that deal with tree structure, and also their parallelization an... [more] | KBSE2017-21 pp.1-6 |
| PRMU, IE, MI, SIP | 2017-05-25 17:00 |
Aichi | [Special Talk]
Real-time Forecasting of Big Time-series Data: Foundations and Challenges Yasushi Sakurai (Kumamoto Univ.) SIP2017-11 IE2017-11 PRMU2017-11 MI2017-11 |
Time-series data analysis is an important topic that has attracted huge interest in countless domains. Given a large col... [more] | SIP2017-11 IE2017-11 PRMU2017-11 MI2017-11 p.61 |
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| CPSY, DC, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC [detail] | 2017-03-10 09:30 |
Okinawa | Kumejima Island | Pass/Fail Prediction in LSI Test Considering Fail Die Characteristics. Takazumi Sato, Michiko Inoue (NAIST) CPSY2016-144 DC2016-90 |
Various kinds of tests are applied to LSIs in several satages to ship only fully reliable products.However, a lot of kin... [more] | CPSY2016-144 DC2016-90 pp.291-296 |
| IBISML | 2017-03-07 10:00 |
Tokyo | Tokyo Institute of Technology | Safe Pruning Rule for Predictive Sequential Pattern Mining and Its Application to Bio-logging Data Analysis Kaoru Kishimoto (NITech), Masayuki Karasuyama (NIT), Kazuya Nakagawa (NITech), Kotaro Kimura (Osaka Univ.), Ken Yoda (Nagoya Univ.), Yuta Umezu, Shinsuke Kajioka (NITech), Koji Tsuda (UTokyo), Ichiro Takeuchi (NITech) IBISML2016-105 |
Recently, the analysis for time-series logging data of animal behaviors, called bio-logging data, has attracted a wide a... [more] | IBISML2016-105 pp.41-48 |
| DC | 2017-02-21 12:00 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | An Approach to Performance Improvement of Machine Learning Based Fail Chip Discrimination Daichi Yuruki, Satoshi Ohtake (Oita Univ), Yoshiyuki Nakamura (Renesas System Design) DC2016-77 |
Today, advancements of semiconductor technology have progress to high integration of LSI circuits. A technique which ke... [more] |
DC2016-77 pp.17-22 |
| NLC, IPSJ-IFAT | 2017-02-10 13:55 |
Osaka | Detecting Earthquake Survivors with Serious Mental Damage Tatsuya Aoki (Tokyo Tech), Tetsuya Nasukawa, Katsumasa Yoshikawa (IBM Research), Hiroya Takamura, Manabu Okumura (Tokyo Tech) NLC2016-48 |
The 2011 Great East Japan Earthquake and 2016 Kumamoto Earthquakes had a great impact to numerous people all over the wo... [more] | NLC2016-48 pp.65-70 |
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