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» Detecting Change in Data Streams
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VVS
2000
IEEE
176views Visualization» more  VVS 2000»
14 years 1 months ago
4D volume rendering with the Shear Warp factorisation
A novel approach for rendering time-varying data based on the Shear-Warp factorisation is presented. Reduction in storage space is achieved by detecting the changed areas within e...
Kostas Anagnostou, Tim J. Atherton, Andrew E. Wate...
IEEECIT
2005
IEEE
14 years 2 months ago
Effectively Maintaining Single View Consistency in Web Warehouses
Web warehouse provides high availability and efficiency by utilizing materialized webviews, which should be refreshed in time to keep freshness. During the refreshing, the consis...
Yan Zhang, Xiangdong Qin
IPPS
2010
IEEE
13 years 7 months ago
Optimizing RAID for long term data archives
We present new methods to extend data reliability of disks in RAID systems for applications like long term data archival. The proposed solutions extend existing algorithms to detec...
Henning Klein, Jörg Keller
AAAI
2007
13 years 11 months ago
UNDERTOW: Multi-Level Segmentation of Real-Valued Time Series
The discovery of meaningful change points, finding segments, in both categorical and real-value data time series is a well-studied problem. Prior segmentation algorithms and task...
Tom Armstrong, Tim Oates
CVPR
2004
IEEE
14 years 11 months ago
Video Data Mining Using Configurations of Viewpoint Invariant Regions
We describe a method for obtaining the principal objects, characters and scenes in a video by measuring the reoccurrence of spatial configurations of viewpoint invariant features....
Josef Sivic, Andrew Zisserman