Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
PRMU |
2022-10-21 10:45 |
Tokyo |
Miraikan - The National Museum of Emerging Science and Innovation (Primary: On-site, Secondary: Online) |
Subspace based Anomaly Detection Takumi Kanai, Naoya Sogi (Univ. Tsukuba), Atsuto Maki (KTH), Kazuhiro Fukui (Univ. Tsukuba) PRMU2022-25 |
In this paper, we propose a change point detection method in time series data by incorporating the concept of difference... [more] |
PRMU2022-25 pp.18-23 |
ICTSSL |
2022-07-29 13:55 |
Osaka |
Kansai University (Primary: On-site, Secondary: Online) |
Behavior Analysis of Evacuees using Sparse Structure Learning for Development of Emergency Rescue Evacuation Support System Yeboon Yun, Tomotaka Wada (Kansai Univ.) ICTSSL2022-13 |
We have developed the Emergency Rescue Evacuation Support System (ERESS) which is designed to automatically detect disas... [more] |
ICTSSL2022-13 pp.16-21 |
CQ, ICM, NS, NV (Joint) |
2021-11-26 17:15 |
Fukuoka |
JR Hakata Stn. Hakata EkiHigashi Rental Room (Primary: On-site, Secondary: Online) |
Proposal of change detection technology using cluster transition tensor Shoko Takahashi, Kei Takeshita (NTT) CQ2021-75 |
As in all service fields, the AI-based operation automation is progressing in the communication field as well.
Once the... [more] |
CQ2021-75 pp.49-54 |
IBISML |
2020-01-10 13:15 |
Tokyo |
ISM |
A Change Detection Method based on Temporal Variation of Subspace Geometry Honami Kanamori, Naoya Sogi, Kazuhiro Fukui (Univ. Tsukuba) IBISML2019-30 |
In this paper, we propose a change detection method on temporal variation of subspace geometry. In the proposed method, ... [more] |
IBISML2019-30 pp.83-89 |
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] |
2019-06-17 15:25 |
Okinawa |
Okinawa Institute of Science and Technology |
Optimal Estimating the Number of Change Points for Sources with Piecewise Constant parameters under Bayesian Criterion Kairi Suzuki, Akira Kamatsuka, Toshiyasu Matsushima (Waseda Univ.) IBISML2019-6 |
The problem of estimating the number of the change points is an important problem in various real problems.There have be... [more] |
IBISML2019-6 pp.35-41 |
NS, IN (Joint) |
2018-03-02 13:10 |
Miyazaki |
Phoenix Seagaia Resort |
Network state change detection using deep learning Keiichi Nakatsugawa, Shinji Yamashita, Masato Okuda (FUJITSU LAB.) NS2017-225 |
With scale up of networks and diversification of communication services, it is expected to advance network operation and... [more] |
NS2017-225 pp.321-326 |
IBISML |
2016-11-16 15:00 |
Kyoto |
Kyoto Univ. |
Structural Change Detection in Lithography Systems Yosuke Otsubo (NIKON), Masashi Sugiyama (RIKEN/UTokyo) IBISML2016-45 |
A lithography system, which consists of various mechanical units such as high-precision optical systems, prints circuit ... [more] |
IBISML2016-45 pp.1-8 |
WIT, HI-SIGACI |
2015-12-08 15:20 |
Tokyo |
AIST Tokyo Waterfront |
Realtime Detection of Speaker Change Considering Mobile Device Environment Masashi Tateno, Eiji Kamioka (SIT) WIT2015-64 |
Aiming at achieving a high performance speaker change detection using mobile-devices, the extraction of each person’s in... [more] |
WIT2015-64 pp.7-12 |
WIT, ASJ-H |
2015-02-13 15:30 |
Ehime |
Ehime University, Johoku Campus |
Detection of Speaker Change with Mel-Cepstrum Considering Speaker-Microphone Distance Masashi Tateno, Eiji Kamioka (SIT) |
Aiming at achieving high performance speaker identification using mobile-device, some methods which extract vocal tract ... [more] |
WIT2014-76 pp.21-26 |
MoNA, IPSJ-DPS, IPSJ-MBL |
2013-05-23 09:30 |
Okinawa |
Ishigaki City Hall |
A Study on Reconstruction Control in Compressive Sensing for Change Detection of Multi-dimensional Data Hiroki Furusawa, Hiroyuki Kasai (Univ. of Electro- Comm.) MoNA2013-1 |
One way to detect the change of multi-dimensional data is tensor decomposition. Sensing vectors obtained using the core ... [more] |
MoNA2013-1 pp.1-6 |
IBISML |
2012-06-20 14:50 |
Kyoto |
Campus plaza Kyoto |
An MDL-based Change-Detection Algorithm for Piecewise Stationay Memoryless Sources with Multi-dimensional Parameter Hiroki Kanazawa, Kenji Yamanishi (Univ. of Tokyo) IBISML2012-9 |
Kleinberg has proposed an algorithm for detecting bursts from a data sequence, which has turned out to be effective in t... [more] |
IBISML2012-9 pp.57-64 |
ICM |
2011-03-11 16:50 |
Okinawa |
Miyakojima Marine Terminal |
Proposal and verification of traffic quality variation detection technique for over Gbps video transmission Atsushi Taniguchi, Hiroshige Tanaka (NTT Communications), Kenji Shimizu, Katsuhiro Sebayashi (NTT) ICM2010-73 |
The bursty traffic on the microsecond time scale negatively affects quality of the video traffic for the over Gbps video... [more] |
ICM2010-73 pp.109-113 |
IN, NS (Joint) |
2006-03-02 11:00 |
Okinawa |
Rizzan Sea-Park Hotel Tancha-Bay (Okinawa) |
Adaptive Real-Time Change Detection based on Monitoring Datas
-- Application to Proactive VoIP Quality Monitoring -- Satoshi Imai, Akiko Okamura, Hitoshi Ueno, Akira Chugo (FUJITSU Lab.) |
Recently, quality management of IP network becomes an important
issue according to the development of real-time applica... [more] |
NS2005-165 pp.29-32 |