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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 13 of 13  /   
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
 Results 1 - 13 of 13  /   
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